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| cloud native technologies list: Cloud Native Infrastructure Justin Garrison, Kris Nova, 2017-10-25 Cloud native infrastructure is more than servers, network, and storage in the cloud—it is as much about operational hygiene as it is about elasticity and scalability. In this book, you’ll learn practices, patterns, and requirements for creating infrastructure that meets your needs, capable of managing the full life cycle of cloud native applications. Justin Garrison and Kris Nova reveal hard-earned lessons on architecting infrastructure from companies such as Google, Amazon, and Netflix. They draw inspiration from projects adopted by the Cloud Native Computing Foundation (CNCF), and provide examples of patterns seen in existing tools such as Kubernetes. With this book, you will: Understand why cloud native infrastructure is necessary to effectively run cloud native applications Use guidelines to decide when—and if—your business should adopt cloud native practices Learn patterns for deploying and managing infrastructure and applications Design tests to prove that your infrastructure works as intended, even in a variety of edge cases Learn how to secure infrastructure with policy as code |
| cloud native technologies list: Cloud Native Boris Scholl, Trent Swanson, Peter Jausovec, 2019-08-21 Developers often struggle when first encountering the cloud. Learning about distributed systems, becoming familiar with technologies such as containers and functions, and knowing how to put everything together can be daunting. With this practical guide, you’ll get up to speed on patterns for building cloud native applications and best practices for common tasks such as messaging, eventing, and DevOps. Authors Boris Scholl, Trent Swanson, and Peter Jausovec describe the architectural building blocks for a modern cloud native application. You’ll learn how to use microservices, containers, serverless computing, storage types, portability, and functions. You’ll also explore the fundamentals of cloud native applications, including how to design, develop, and operate them. Explore the technologies you need to design a cloud native application Distinguish between containers and functions, and learn when to use them Architect applications for data-related requirements Learn DevOps fundamentals and practices for developing, testing, and operating your applications Use tips, techniques, and best practices for building and managing cloud native applications Understand the costs and trade-offs necessary to make an application portable |
| cloud native technologies list: Monitoring Cloud-Native Applications Mainak Chakraborty, Ajit Pratap Kundan, 2021-04-26 Introduce yourself to the nuances of modern monitoring for cloud-native applications running on Kubernetes clusters. This book will help you get started with the concepts of monitoring, introduce you to popular open-source monitoring tools, and help with finding the correct set of use cases for their implementation. It covers the in-depth technical details of open-source software used in modern monitoring systems that are tailor made for environments running microservices. Monitoring Cloud-Native Applications is divided into two parts. Part 1 starts with an introduction to cloud-native applications and the foundational concepts of monitoring. It then walks you through the various aspects of monitoring containerized workloads using Kubernetes as the de-facto orchestration platform. You will dive deep into the architecture of a modern monitoring system and look at its individual components in detail. Part 2 introduces you to popular open-source tools which are used by enterprises and startups alike and are well established as the tools of choice for industry stalwarts. First off, you will look at Prometheus and understand its architecture and usage. You will also learn about InfluxDB, formerly called TICK Stack (Telegraf, InfluxDB, Chronograf, and Kapacitor). You will explore the technical details of its architecture and the use cases which it solves. Your next stop will be Elastic Stack, formerly known as the ELK Stack (ElasticSearch, LogStash, and Kibana) and you will examine the scenarios where you can use it effectively. In the next chapter, you will be introduced to Grafana, a multi-platform open source analytics and interactive visualization tool that can help you with visualization of data and dashboards. After reading this book, you will have a much better understanding of key terminologies and general concepts around monitoring and observability. You will also be able to select a suitable monitoring solution from the bouquet of open-source monitoring solutions available for applications, microservices, and containers. Armed with this knowledge, you will be better prepared to design and lead a successful agile operations team. What You Will Learn Monitor and observe of metrics, events, logs, and traces Carry out infrastructure and application monitoring for microservices architecture Analyze and visualize collected data Use alerting, reporting, and automated actions for problem resolution Who This Book Is For DevOps administrators, cloud administrators, and site reliability engineers (SREs) who manage and monitor applications and cloud infrastructure on a day-to-day basis within their organizations. |
| cloud native technologies list: Kubernetes and Cloud Native Associate (KCNA) Study Guide Jorge Valenzuela Jiménez, Adrián González Sánchez, 2024-05-29 Learn how to prepare for--and pass--the KCNA (Kubernetes and Cloud Native Associate) certification exam. This practical guide serves as both a study guide and point of entry for practitioners looking to explore and adopt cloud native technologies. Adrian Gonzalez Sanchez teaches you not only the core technology fundamentals, but also the community and industry that KCNA serves. With the meteoric rise in cloud adoption, cloud native technologies such as Kubernetes have become the de facto industry standard. Other Kubernetes certifications--CKAD, CKA, and CKS--are all geared towards higher level technical proficiency. The KCNA certification exam covers the cloud native environment generally as well as the fundamental Kubernetes skills and knowledge. |
| cloud native technologies list: Cloud Native Patterns Cornelia Davis, 2019-05-12 Summary Cloud Native Patternsis your guide to developing strong applications that thrive in the dynamic, distributed, virtual world of the cloud. This book presents a mental model for cloud-native applications, along with the patterns, practices, and tooling that set them apart. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Cloud platforms promise the holy grail: near-zero downtime, infinite scalability, short feedback cycles, fault-tolerance, and cost control. But how do you get there? By applying cloudnative designs, developers can build resilient, easily adaptable, web-scale distributed applications that handle massive user traffic and data loads. Learn these fundamental patterns and practices, and you'll be ready to thrive in the dynamic, distributed, virtual world of the cloud. About the Book With 25 years of experience under her belt, Cornelia Davis teaches you the practices and patterns that set cloud-native applications apart. With realistic examples and expert advice for working with apps, data, services, routing, and more, she shows you how to design and build software that functions beautifully on modern cloud platforms. As you read, you will start to appreciate that cloud-native computing is more about the how and why rather than the where. What's inside The lifecycle of cloud-native apps Cloud-scale configuration management Zero downtime upgrades, versioned services, and parallel deploys Service discovery and dynamic routing Managing interactions between services, including retries and circuit breakers About the Reader Requires basic software design skills and an ability to read Java or a similar language. About the Author Cornelia Davis is Vice President of Technology at Pivotal Software. A teacher at heart, she's spent the last 25 years making good software and great software developers. Table of Contents PART 1 - THE CLOUD-NATIVE CONTEXT You keep using that word: Defining cloud-native Running cloud-native applications in production The platform for cloud-native software PART 2 - CLOUD-NATIVE PATTERNS Event-driven microservices: It's not just request/response App redundancy: Scale-out and statelessness Application configuration: Not just environment variables The application lifecycle: Accounting for constant change Accessing apps: Services, routing, and service discovery Interaction redundancy: Retries and other control loops Fronting services: Circuit breakers and API gateways Troubleshooting: Finding the needle in the haystack Cloud-native data: Breaking the data monolith |
| cloud native technologies list: Cloud Native Architectures Tom Laszewski, Kamal Arora, Erik Farr, Piyum Zonooz, 2018-08-31 Learn and understand the need to architect cloud applications and migrate your business to cloud efficiently Key Features Understand the core design elements required to build scalable systems Plan resources and technology stacks effectively for high security and fault tolerance Explore core architectural principles using real-world examples Book Description Cloud computing has proven to be the most revolutionary IT development since virtualization. Cloud native architectures give you the benefit of more flexibility over legacy systems. To harness this, businesses need to refresh their development models and architectures when they find they don’t port to the cloud. Cloud Native Architectures demonstrates three essential components of deploying modern cloud native architectures: organizational transformation, deployment modernization, and cloud native architecture patterns. This book starts with a quick introduction to cloud native architectures that are used as a base to define and explain what cloud native architecture is and is not. You will learn what a cloud adoption framework looks like and develop cloud native architectures using microservices and serverless computing as design principles. You’ll then explore the major pillars of cloud native design including scalability, cost optimization, security, and ways to achieve operational excellence. In the concluding chapters, you will also learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform. By the end of this book, you will have learned the techniques to adopt cloud native architectures that meet your business requirements. You will also understand the future trends and expectations of cloud providers. What you will learn Learn the difference between cloud native and traditional architecture Explore the aspects of migration, when and why to use it Identify the elements to consider when selecting a technology for your architecture Automate security controls and configuration management Use infrastructure as code and CICD pipelines to run environments in a sustainable manner Understand the management and monitoring capabilities for AWS cloud native application architectures Who this book is for Cloud Native Architectures is for software architects who are keen on designing resilient, scalable, and highly available applications that are native to the cloud. |
| cloud native technologies list: Using Docker Adrian Mouat, 2015-12-09 Docker containers offer simpler, faster, and more robust methods for developing, distributing, and running software than previously available. With this hands-on guide, you’ll learn why containers are so important, what you’ll gain by adopting Docker, and how to make it part of your development process. Ideal for developers, operations engineers, and system administrators—especially those keen to embrace a DevOps approach—Using Docker will take you from Docker and container basics to running dozens of containers on a multi-host system with networking and scheduling. The core of the book walks you through the steps needed to develop, test, and deploy a web application with Docker. Get started with Docker by building and deploying a simple web application Use Continuous Deployment techniques to push your application to production multiple times a day Learn various options and techniques for logging and monitoring multiple containers Examine networking and service discovery: how do containers find each other and how do you connect them? Orchestrate and cluster containers to address load-balancing, scaling, failover, and scheduling Secure your system by following the principles of defense-in-depth and least privilege |
| cloud native technologies list: Cloud-native Computing Pethuru Raj, Skylab Vanga, Akshita Chaudhary, 2022-10-25 Explore the cloud-native paradigm for event-driven and service-oriented applications In Cloud-Native Computing: How to Design, Develop, and Secure Microservices and Event-Driven Applications, a team of distinguished professionals delivers a comprehensive and insightful treatment of cloud-native computing technologies and tools. With a particular emphasis on the Kubernetes platform, as well as service mesh and API gateway solutions, the book demonstrates the need for reliability assurance in any distributed environment. The authors explain the application engineering and legacy modernization aspects of the technology at length, along with agile programming models. Descriptions of MSA and EDA as tools for accelerating software design and development accompany discussions of how cloud DevOps tools empower continuous integration, delivery, and deployment. Cloud-Native Computing also introduces proven edge devices and clouds used to construct microservices-centric and real-time edge applications. Finally, readers will benefit from: Thorough introductions to the demystification of digital transformation Comprehensive explorations of distributed computing in the digital era, as well as reflections on the history and technological development of cloud computing Practical discussions of cloud-native computing and microservices architecture, as well as event-driven architecture and serverless computing In-depth examinations of the Akka framework as a tool for concurrent and distributed applications development Perfect for graduate and postgraduate students in a variety of IT- and cloud-related specialties, Cloud-Native Computing also belongs in the libraries of IT professionals and business leaders engaged or interested in the application of cloud technologies to various business operations. |
| cloud native technologies list: Cloud Native Java Josh Long, Kenny Bastani, 2017-08-11 What separates the traditional enterprise from the likes of Amazon, Netflix, and Etsy? Those companies have refined the art of cloud native development to maintain their competitive edge and stay well ahead of the competition. This practical guide shows Java/JVM developers how to build better software, faster, using Spring Boot, Spring Cloud, and Cloud Foundry. Many organizations have already waded into cloud computing, test-driven development, microservices, and continuous integration and delivery. Authors Josh Long and Kenny Bastani fully immerse you in the tools and methodologies that will help you transform your legacy application into one that is genuinely cloud native. In four sections, this book takes you through: The Basics: learn the motivations behind cloud native thinking; configure and test a Spring Boot application; and move your legacy application to the cloud Web Services: build HTTP and RESTful services with Spring; route requests in your distributed system; and build edge services closer to the data Data Integration: manage your data with Spring Data, and integrate distributed services with Spring’s support for event-driven, messaging-centric architectures Production: make your system observable; use service brokers to connect stateful services; and understand the big ideas behind continuous delivery |
| cloud native technologies list: Cloud Native Transformation Pini Reznik, Jamie Dobson, Michelle Gienow, 2019-12-05 In the past few years, going cloud native has been a big advantage for many companies. But it’s a tough technique to get right, especially for enterprises with critical legacy systems. This practical hands-on guide examines effective architecture, design, and cultural patterns to help you transform your organization into a cloud native enterprise—whether you’re moving from older architectures or creating new systems from scratch. By following Wealth Grid, a fictional company, you’ll understand the challenges, dilemmas, and considerations that accompany a move to the cloud. Technical managers and architects will learn best practices for taking on a successful company-wide transformation. Cloud migration consultants Pini Reznik, Jamie Dobson, and Michelle Gienow draw patterns from the growing community of expert practitioners and enterprises that have successfully built cloud native systems. You’ll learn what works and what doesn’t when adopting cloud native—including how this transition affects not just your technology but also your organizational structure and processes. You’ll learn: What cloud native means and why enterprises are so interested in it Common barriers and pitfalls that have affected other companies (and how to avoid them) Context-specific patterns for a successful cloud native transformation How to implement a safe, evolutionary cloud native approach How companies addressed root causes and misunderstandings that hindered their progress Case studies from real-world companies that have succeeded with cloud native transformations |
| cloud native technologies list: Cloud Native Applications with Jakarta EE Kamalmeet Singh, 2021-04-24 Deploy serverless and scalable cloud-native applications with Jakarta EEÊ Ê KEY FEATURESÊÊ _ Example-driven approach crafted specially for developers and architects. _ Covers all core areas for cloud-native development. _ Step-by-step implementation of core concepts, including application scalability and security, serverless, and containerization. DESCRIPTIONÊ The book helps readers to get a basic understanding of features provided by the cloud and core concepts of cloud native development. A hands-on approach makes sure that after reading the book, one can straight away implement the concepts in their daily design and development activities.Ê The book starts with the basics of cloud computing and moves on to understanding the core concepts to create a production-ready cloud-native application. The book helps readers to develop a code that is testable and maintainable to support Agile cloud native development. This book also talks about the security and scalability aspects of applications which are the backbone of any large-scale application. The book covers advanced cloud-native application development approaches using containers and serverless approaches. The book will help readers to get ready for a cloud-native development journey. Whether one is creating a small application or a large-scale application, core concepts explained in this book remain relevant and will work as a guiding light for developers and architects.ÊÊÊ WHAT YOU WILL LEARN _ Explains the core features that are part of cloud computing. _ Build applications that are fast to market due to testability and maintainability. _ Build applications that are secured against vulnerabilities. _ Build applications that are easy to scale. WHO THIS BOOK IS FORÊÊ The book is meant for software developers, architects, and technical readers who want to learn about Cloud-based application development. Basic knowledge of the Java programming language or Jakarta EE platform is expected to understand code examples used in the book. TABLE OF CONTENTS 1. Introduction to Cloud Computing 2. Design for Cloud 3. Major Players in Cloud Computing 4. Sample Application Using Jakarta EE 5. Testing Cloud-Native Applications 6. Continuous Integration and Continuous Delivery 7. Securing Cloud-Based Applications 8. Scalability 9. Monitoring, Alerting, and Reporting 10. Containers 11. Serverless Computing 12. Best Practices for Developing Cloud-Native Applications |
| cloud native technologies list: Design Patterns for Cloud Native Applications Kasun Indrasiri, Sriskandarajah Suhothayan, 2021-05-17 With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will learn about the most commonly used design patterns for building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Kasun Indrasiri and Sriskandarajah Suhothayan highlight use cases that effectively demonstrate the challenges you might encounter at each step. Learn the fundamentals of cloud native applications Explore key cloud native communication, connectivity, and composition patterns Learn decentralized data management techniques Use event-driven architecture to build distributed and scalable cloud native applications Explore the most commonly used patterns for API management and consumption Examine some of the tools and technologies you'll need for building cloud native systems |
| cloud native technologies list: Implementing GitOps with Kubernetes Pietro Libro, Artem Lajko, 2024-08-23 Learn to integrate and implement the GitOps framework, tools like Kubernetes and Openshift, and best practices across AWS and Azure cloud platforms, ensuring enhanced reliability in your cloud-native infrastructure and application deployments Key Features Master basic and advanced GitOps concepts for efficient cloud-native architectural design and application deployment Set up GitOps workflows for Kubernetes, integrate CI/CD pipelines, and optimize deployment strategies Perform continuous deployment using GitHub, Hel Purchase of the print or Kindle book includes a free PDF eBook Book Description This book covers actionable GitOps practices for automated, secure Kubernetes deployments with industry-tested scenarios. You’ll be able to leverage GitOps to tackle cloud-native software delivery challenges, such as preventing data drifts between systems and Git repositories, and ensuring rapid, error-free deployments. The book introduces GitOps core concepts and principles and then delves into integrating version control and GitOps tools such as Argo CD, Flux CD, Helm, and Kustomize with Kubernetes. You’ll learn about scaling GitOps across multiple clusters, architectural designs for efficient cloud-native operations, and the cultural transformation needed to support GitOps adoption within an organization. As you progress, you’ll be able to automate infrastructure and implement CI/CD processes on OpenShift, MS Azure, and AWS platforms using GitOps, Terraform, OpenTofu, and Argo CD. You’ll also explore examples and best practices for integrating observability, enhancing security, managing financial operations (FinOps), and future trends such as AI and sustainability in GitOps. By the end of this book, you’ll have gained the skills you need to apply GitOps strategies for robust Kubernetes and cloud deployments, thereby boosting your productivity and efficiency. What you will learn Delve into GitOps methods and best practices used for modern cloud-native environments Explore GitOps tools such as GitHub, Argo CD, Flux CD, Helm, and Kustomize Automate Kubernetes CI/CD workflows using GitOps and GitHub Actions Deploy infrastructure as code using Terraform, OpenTofu, and GitOps Automate AWS, Azure, and OpenShift platforms with GitOps Understand multitenancy, rolling back deployments, and how to handle stateful applications using GitOps methods Implement observability, security, cost optimization, and AI in GitOps practices Who this book is for This book is for DevOps engineers, platform engineers, SREs, and cloud engineers who want to get skilled at implementing GitOps practices effectively in cloud-native environments. A foundational understanding of cloud computing, containerization, infrastructure as code, DevOps, CI/CD principles, and Kubernetes will be helpful to get the most out of this book. |
| cloud native technologies list: Cloud-Native Application Architecture FreeWheel Biz-UI Team, 2024-01-03 The authors of this book explore a way to build cloud-native microservice applications, based on years of practice. Presenting a range of real-world scenarios, from design, development, and testing to deployment, the book shows how teams can leverage cloud-native technologies to develop applications, covering the full lifecycle. Further, it consistently combines theory and practice, and comprehensively analyzes how to implement core cloud-native technologies such as container, service mesh, serverless, continuous integration, and deployment. Given its scope, the book offers a valuable asset for all architects, engineers, and technological decision-makers with an interest in microservices and cloud-native technologies. |
| cloud native technologies list: Microservices Antonio Bucchiarone, Nicola Dragoni, Schahram Dustdar, Patricia Lago, Manuel Mazzara, Victor Rivera, Andrey Sadovykh, 2019-12-11 This book describes in contributions by scientists and practitioners the development of scientific concepts, technologies, engineering techniques and tools for a service-based society. The focus is on microservices, i.e cohesive, independent processes deployed in isolation and equipped with dedicated memory persistence tools, which interact via messages. The book is structured in six parts. Part 1 “Opening” analyzes the new (and old) challenges including service design and specification, data integrity, and consistency management and provides the introductory information needed to successfully digest the remaining parts. Part 2 “Migration” discusses the issue of migration from monoliths to microservices and their loosely coupled architecture. Part 3 “Modeling” introduces a catalog and a taxonomy of the most common microservices anti-patterns and identifies common problems. It also explains the concept of RESTful conversations and presents insights from studying and developing two further modeling approaches. Next , Part 4 is dedicated to various aspects of “Development and Deployment”. Part 5 then covers “Applications” of microservices, presenting case studies from Industry 4.0, Netflix, and customized SaaS examples. Eventually, Part 6 focuses on “Education” and reports on experiences made in special programs, both at academic level as a master program course and for practitioners in an industrial training. As only a joint effort between academia and industry can lead to the release of modern paradigm-based programming languages, and subsequently to the deployment of robust and scalable software systems, the book mainly targets researchers in academia and industry who develop tools and applications for microservices. |
| cloud native technologies list: Azure OpenAI Service for Cloud Native Applications Adrián González Sánchez, 2024-06-27 Get the details, examples, and best practices you need to build generative AI applications, services, and solutions using the power of Azure OpenAI Service. With this comprehensive guide, Microsoft AI specialist Adrián González Sánchez examines the integration and utilization of Azure OpenAI Service—using powerful generative AI models such as GPT-4 and GPT-4o—within the Microsoft Azure cloud computing platform. To guide you through the technical details of using Azure OpenAI Service, this book shows you how to set up the necessary Azure resources, prepare end-to-end architectures, work with APIs, manage costs and usage, handle data privacy and security, and optimize performance. You'll learn various use cases where Azure OpenAI Service models can be applied, and get valuable insights from some of the most relevant AI and cloud experts. Ideal for software and cloud developers, product managers, architects, and engineers, as well as cloud-enabled data scientists, this book will help you: Learn how to implement cloud native applications with Azure OpenAI Service Deploy, customize, and integrate Azure OpenAI Service with your applications Customize large language models and orchestrate knowledge with company-owned data Use advanced roadmaps to plan your generative AI project Estimate cost and plan generative AI implementations for adopter companies |
| cloud native technologies list: Managing Cloud Native Data on Kubernetes Jeff Carpenter, Patrick McFadin, 2022-12-02 Is Kubernetes ready for stateful workloads? This open source system has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help. Using Kubernetes as your platform, you'll learn open source technologies that are designed and built for the cloud. Authors Jeff Carpenter and Patrick McFadin provide case studies to help you explore new use cases and avoid the pitfalls others have faced. You’ll get an insider's view of what's coming from innovators who are creating next-generation architectures and infrastructure. With this book, you will: Learn how to use basic Kubernetes resources to compose data infrastructure Automate the deployment and operations of data infrastructure on Kubernetes using tools like Helm and operators Evaluate and select data infrastructure technologies for use in your applications Integrate data infrastructure technologies into your overall stack Explore emerging technologies that will enhance your Kubernetes-based applications in the future |
| cloud native technologies list: Cloud Native Application Protection Platforms Russ Miles, Stephen Giguere, Taylor Smith, 2024-09-13 Cloud native security isnâ??t a game for individual players. It requires team collaboration with a platform that can help cloud security engineers, developers, and operations people do their best work. Thatâ??s what the cloud native application protection platform (CNAPP) delivers. With this practical guide, youâ??ll learn how CNAPPs can help you consolidate security through DevSecOps across cloud native technologies, practices, and application lifecycles. Through real-life attack scenarios, authors Russ Miles, Steve Giguere, and Taylor Smith help you explore how CNAPP not only mitigates multidimensional threats, but also reduces complexity and helps your team stay one step ahead of attackers. CNAPP provides a holistic approach to your cloud native development across identities, workloads, networks, and infrastructure. With this book, you will: Examine threats to different parts of the cloud native stack, including pipelines, supply chains, infrastructure, workloads, and applications Learn what CNAPP is and how it enables the context-sharing and collaboration necessary to secure your applications from development to runtime Assess your own attack surface from a code and runtime standpoint Identify blind spots in your existing cloud native security coverage Leverage CNAPP to achieve a holistic, collaborative security environment |
| cloud native technologies list: Designing Data-Intensive Applications Martin Kleppmann, 2017-03-16 Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures |
| cloud native technologies list: Cloud Native with Kubernetes Alexander Raul, 2021-01-04 Harness Kubernetes' extensibility to deploy modern patterns and learn to effectively handle production issues Key FeaturesBuild and run efficient cloud-native applications on Kubernetes using industry best practicesOperate Kubernetes in a production environment, troubleshoot clusters, and address security concernsDeploy cutting-edge Kubernetes patterns such as service mesh and serverless to your clusterBook Description Kubernetes is a modern cloud native container orchestration tool and one of the most popular open source projects worldwide. In addition to the technology being powerful and highly flexible, Kubernetes engineers are in high demand across the industry. This book is a comprehensive guide to deploying, securing, and operating modern cloud native applications on Kubernetes. From the fundamentals to Kubernetes best practices, the book covers essential aspects of configuring applications. You'll even explore real-world techniques for running clusters in production, tips for setting up observability for cluster resources, and valuable troubleshooting techniques. Finally, you'll learn how to extend and customize Kubernetes, as well as gaining tips for deploying service meshes, serverless tooling, and more on your cluster. By the end of this Kubernetes book, you'll be equipped with the tools you need to confidently run and extend modern applications on Kubernetes. What you will learnSet up Kubernetes and configure its authenticationDeploy your applications to KubernetesConfigure and provide storage to Kubernetes applicationsExpose Kubernetes applications outside the clusterControl where and how applications are run on KubernetesSet up observability for KubernetesBuild a continuous integration and continuous deployment (CI/CD) pipeline for KubernetesExtend Kubernetes with service meshes, serverless, and moreWho this book is for This book is for developers, architects, DevOps engineers, or anyone interested in developing and managing cloud-native applications. Those already running cloud applications and looking for a better way to manage their platform or others interested in a career change given the recent popularity of Kubernetes will also find this book helpful. Some familiarity with cloud computing, containers and DevOps is required, but no prior knowledge of building production applications using Kubernetes is needed to get started with this book. |
| cloud native technologies list: Cloud Native Applications with Ballerina Dhanushka Madushan, 2021-10-29 Learn how to build scalable cloud native applications with the new-generation Ballerina language using expert tips and best practices Key FeaturesWork with code samples based on the Ballerina Swan Lake Beta1 versionExplore the in-built networking protocol support in Ballerina to develop secure distributed appsBuild a Ballerina app with an automated CI/CD pipeline with observability to simplify maintenance and deploymentBook Description The Ballerina programming language was created by WSO2 for the modern needs of developers where cloud native development techniques have become ubiquitous. Ballerina simplifies how programmers develop and deploy cloud native distributed apps and microservices. Cloud Native Applications with Ballerina will guide you through Ballerina essentials, including variables, types, functions, flow control, security, and more. You'll explore networking as an in-built feature in Ballerina, which makes it a first-class language for distributed computing. With this app development book, you'll learn about different networking protocols as well as different architectural patterns that you can use to implement services on the cloud. As you advance, you'll explore multiple design patterns used in microservice architecture and use serverless in Amazon Web Services (AWS) and Microsoft Azure platforms. You will also get to grips with Docker, Kubernetes, and serverless platforms to simplify maintenance and the deployment process. Later, you'll focus on the Ballerina testing framework along with deployment tools and monitoring tools to build fully automated observable cloud applications. By the end of this book, you will have learned how to apply the Ballerina language for building scalable, resilient, secured, and easy-to-maintain cloud native Ballerina projects and applications. What you will learnUnderstand the concepts and models in cloud native architectureGet to grips with the high-level concepts of building applications with the Ballerina languageUse cloud native architectural design patterns to develop cloud native Ballerina applicationsDiscover how to automate, maintain, and observe cloud native Ballerina applicationsUse a container to deploy and maintain a Ballerina application with Docker and KubernetesExplore serverless architecture and use Microsoft Azure and the AWS platform to build serverless applicationsWho this book is for This Ballerina Swan Lake book is for cloud developers, integration developers, and microservices developers who are facing challenges with legacy tooling and are looking for the latest tools and technologies to solve them. Beginner-level programming knowledge is required before getting started with this Ballerina book. |
| cloud native technologies list: Hands-On Cloud-Native Microservices with Jakarta EE Luigi Fugaro, Mauro Vocale, 2019-01-31 Discover how cloud-native microservice architecture helps you to build dynamically scalable applications by using the most widely used and adopted runtime environments Key FeaturesBuild robust cloud-native applications using a variety of toolsUnderstand how to configure both Amazon Web Services (AWS) and Docker clouds for high availabilityExplore common design patterns used in building and deploying microservices architecture.Book Description Businesses today are evolving rapidly, and developers now face the challenge of building applications that are resilient, flexible, and native to the cloud. To achieve this, you'll need to be aware of the environment, tools, and resources that you're coding against. The book will begin by introducing you to cloud-native architecture and simplifying the major concepts. You'll learn to build microservices in Jakarta EE using MicroProfile with Thorntail and Narayana LRA. You'll then delve into cloud-native application x-rays, understanding the MicroProfile specification and the implementation/testing of microservices. As you progress further, you'll focus on continuous integration and continuous delivery, in addition to learning how to dockerize your services. You'll also cover concepts and techniques relating to security, monitoring, and troubleshooting problems that might occur with applications after you've written them. By the end of this book, you will be equipped with the skills you need to build highly resilient applications using cloud-native microservice architecture. What you will learnIntegrate reactive principles in MicroProfile microservices architectureExplore the 12-factors-app paradigm and its implicationsGet the best out of Java versions 8 and 9 to implement a microservice based on ThorntailUnderstand what OpenShift is and why it is so important for an elastic architectureBuild a Linux container image using Docker and scale the application using KubernetesImplement various patterns such as, Circuit Breaker and bulkheadsGet to grips with the DevOps methodology using continuous integration (CI) and continuous deployment (CD)Who this book is for This book is for developers with basic knowledge of Java EE and HTTP-based application principles who want to learn how to build, test and scale Java EE microservices. No prior experience of writing microservices in Java EE is required. |
| cloud native technologies list: Cloud Native Development with Google Cloud Daniel Vaughan, 2023-11-10 Cloud native development gives you the power to rapidly build, secure, and scale software. But you still need to navigate many potential pitfalls along the way. Through practical examples, this book demonstrates how to use Google Cloud as a laboratory to enable rapid innovation, a factory to automate build and testing, and a citadel to operate applications at scale securely. Author Daniel Vaughan shows you how to take applications from prototype to production by combining Google Cloud services, a cloud native programming model, and best practices. By following an example project from start to finish, developers, architects, and engineering managers working with the Google Cloud Platform will learn how to build and run cloud native applications on Google Cloud with confidence. With this book, you will: Understand cloud native development concepts including microservices, containerization, and event-driven architecture Learn Google Cloud services that specifically support this development style: compute, persistence, messaging, DevOps, security and networking, and observability Confidently build cloud native applications on Google Cloud Learn how to address nonfunctional requirements such as security, observability, and testing Successfully make the transition from initial proofs of concept and prototypes to production systems |
| cloud native technologies list: Cloud Native Programming with Golang Mina Andrawos, Martin Helmich, 2017-12-28 Discover practical techniques to build cloud-native apps that are scalable, reliable, and always available. Key Features Build well-designed and secure microservices. Enrich your microservices with continous integration and monitoring. Containerize your application with Docker Deploy your application to AWS. Learn how to utilize the powerful AWS services from within your application Book Description Awarded as one of the best books of all time by BookAuthority, Cloud Native Programming with Golang will take you on a journey into the world of microservices and cloud computing with the help of Go. Cloud computing and microservices are two very important concepts in modern software architecture. They represent key skills that ambitious software engineers need to acquire in order to design and build software applications capable of performing and scaling. Go is a modern cross-platform programming language that is very powerful yet simple; it is an excellent choice for microservices and cloud applications. Go is gaining more and more popularity, and becoming a very attractive skill. This book starts by covering the software architectural patterns of cloud applications, as well as practical concepts regarding how to scale, distribute, and deploy those applications. You will also learn how to build a JavaScript-based front-end for your application, using TypeScript and React. From there, we dive into commercial cloud offerings by covering AWS. Finally, we conclude our book by providing some overviews of other concepts and technologies that you can explore, to move from where the book leaves off. What you will learn Understand modern software applications architectures Build secure microservices that can effectively communicate with other services Get to know about event-driven architectures by diving into message queues such as Kafka, Rabbitmq, and AWS SQS. Understand key modern database technologies such as MongoDB, and Amazon’s DynamoDB Leverage the power of containers Explore Amazon cloud services fundamentals Know how to utilize the power of the Go language to access key services in the Amazon cloud such as S3, SQS, DynamoDB and more. Build front-end applications using ReactJS with Go Implement CD for modern applications Who this book is for This book is for developers who want to begin building secure, resilient, robust, and scalable Go applications that are cloud native. Some knowledge of the Go programming language should be sufficient.To build the front-end application, you will also need some knowledge of JavaScript programming. |
| cloud native technologies list: Cloud Native Microservices with Spring and Kubernetes Rajiv Srivastava, 2021-07-03 Build and deploy scalable cloud native microservices using the Spring framework and Kubernetes. KEY FEATURES ● Complete coverage on how to design, build, run, and deploy modern cloud native microservices. ● Includes numerous sample code exercises on microservices, Spring and Kubernetes. ● Develop a stronghold on Kubernetes, Spring, and the microservices architecture. ● Complete guide of application containerization on Kubernetes containers. ● Coverage on managing modern applications and infrastructure using observability tools. DESCRIPTION The main objective of this book is to give an overview of cloud native microservices, their architecture, design patterns, best practices, real use cases and practical coverage of modern applications. This book covers a strong understanding of the fundamentals of microservices, API first approach, Testing, observability, API Gateway, Service Mesh and Kubernetes alternatives of Spring Cloud. This book covers the implementation of various design patterns of developing cloud native microservices using Spring framework docker and Kubernetes libraries. It covers containerization concepts and hands-on lab exercises like how to build, run and manage microservices applications using Kubernetes. After reading this book, the readers will have a holistic understanding of building, running, and managing cloud native microservices applications on Kubernetes containers. WHAT YOU WILL LEARN ● Learn fundamentals of microservice and design patterns. ● Learn microservices development using Spring Boot and Kubernetes. ● Learn to develop reactive, event-driven, and batch microservices. ● Perform end-to-end microservices testing using Cucumber. ● Implement API gateway,authentication & authorization,load balancing, caching, rate limiting. ● Learn observability and monitoring techniques of microservices. WHO THIS BOOK IS FOR This book is for the Spring Developers, Microservice Developers, Cloud Engineers, DevOps Consultants, Technical Architect and Solution Architects, who have some familiarity with application development, Docker and Kubernetes containers. TABLE OF CONTENTS 1. Overview of Cloud Native microservices 2. Microservice design patterns 3. API first approach 4. Build microservices using the Spring Framework 5. Batch microservices 6. Build reactive and event-driven microservices 7. The API gateway, security, and distributed caching with Redis 8. Microservices testing and API mocking 9. Microservices observability 10. Containers and Kubernetes overview and architecture 11. Run microservices on Kubernetes 12. Service Mesh and Kubernetes alternatives of Spring Cloud |
| cloud native technologies list: Cloud Native DevOps with Kubernetes John Arundel, Justin Domingus, 2019-03-08 Kubernetes is the operating system of the cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts John Arundel and Justin Domingus show you what Kubernetes can do—and what you can do with it. You’ll learn all about the Kubernetes ecosystem, and use battle-tested solutions to everyday problems. You’ll build, step by step, an example cloud native application and its supporting infrastructure, along with a development environment and continuous deployment pipeline that you can use for your own applications. Understand containers and Kubernetes from first principles; no experience necessary Run your own clusters or choose a managed Kubernetes service from Amazon, Google, and others Use Kubernetes to manage resource usage and the container lifecycle Optimize clusters for cost, performance, resilience, capacity, and scalability Learn the best tools for developing, testing, and deploying your applications Apply the latest industry practices for security, observability, and monitoring Adopt DevOps principles to help make your development teams lean, fast, and effective |
| cloud native technologies list: Modernizing Enterprise Java Markus Eisele, Natale Vinto, 2021-10-21 While containers, microservices, and distributed systems dominate discussions in the tech world, the majority of applications in use today still run monolithic architectures that follow traditional development processes. This practical book helps developers examine long-established Java-based models and demonstrates how to bring these monolithic applications successfully into the future. Relying on their years of experience modernizing applications, authors Markus Eisele and Natale Vinto walk you through the steps necessary to update your organization's Java applications. You'll discover how to dismantle your monolithic application and move to an up-to-date software stack that works across cloud and on-premises installations. Learn cloud native application basics to understand what parts of your organization's Java-based applications and platforms need to migrate and modernize Understand how enterprise Java specifications can help you transition projects and teams Build a cloud native platform that supports effective development without falling into buzzword traps Find a starting point for your migration projects by identifying candidates and staging them through modernization steps Discover how to complement a traditional enterprise Java application with components on top of containers and Kubernetes |
| cloud native technologies list: Cloud-Native Development and Migration to Jakarta EE Ron Veen, David Vlijmincx, 2023-10-31 A pragmatic guide for modernizing your Java EE App with Jakarta EE for cloud-native, serverless excellence Key Features Explore the cargo tracker application, an industry-relevant example that illustrates key Jakarta EE concepts and practices Learn how to transition from Java EE to Jakarta EE to modernize your existing applications Understand the benefits of cloud technologies and how to deploy a Jakarta EE application to the cloud Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionCloud-Native Development and Migration to Jakarta EE will help you unlock the secrets of Jakarta EE's evolution as you explore the migration and modernization of your applications. You’ll discover how to make your code compatible with the latest Jakarta EE version and how to leverage its modern features effectively. First, you’ll navigate the realm of cloud-native development as you demystify containers and get introduced to the Eclipse MicroProfile, a powerful tool in your toolkit. Next, you’ll take the bold step of transitioning your applications from local hardware to the limitless possibilities of the cloud. By following the author’s expert guidance to deploy your Jakarta EE applications on Microsoft Azure, you’ll gain hands-on experience in managing cloud resources. In the final leg of your journey, you’ll explore the world of serverless architecture. You’ll learn to design and run services that are truly serverless, harnessing the potential of the event-driven paradigm for scalability and cost-efficiency. By the end of this book, you’ll have mastered Jakarta EE and become a proficient cloud-native developer. Join us on this exciting journey of transformation and innovation as you pave the way for the future of Jakarta EE and cloud-native development.What you will learn Explore the latest advancements in Jakarta EE and gain a thorough understanding of its core features and capabilities Understand the principles and practices of designing and building cloud-native applications Gain a detailed understanding of containers and Docker Uncover how to embrace containers in your IT landscape Move from your own hardware to managed hardware in the cloud Discover how Kubernetes enhances scalability, resilience, and portability Who this book is forThis book is for developers working in small or large companies developing applications in Jakarta EE. If you're looking for a comprehensive guide that will provide you with all the tools and guidance needed to upgrade your existing applications, then this is the book for you. Intermediate-level knowledge and experience with Java EE 5/6/7/8 will help you get the most out of this book. |
| cloud native technologies list: Cloud Native Apps on Google Cloud Platform Alasdair Gilchrist, 2022-04-13 Step-by-step guide for developing cloud native apps on GCP powered by hands-on interactive learning KEY FEATURES ● Cutting-edge coverage on Google Cloud Build, Cloud Run, GKE, Kubectl and Anthos. ● Includes tutorials and exercises to learn designing, deploying and running cloud native apps. ● Covers Service Mesh, Apps Optimization, logs monitoring and cloud IAM access. DESCRIPTION The book “Cloud Native Apps on Google Cloud Platform” teaches the readers how to design, construct, and maintain successful cloud-native apps using the Google Cloud Platform. With interactive tutorials, the book reinforces learning and helps to develop practical skills for working in an Agile and DevOps context. The book provides a step-by-step approach to building and managing cloud-native applications on Google Cloud Platform for Google Cloud Users, DevOps teams, and Cloud-Native Developers. First, you will investigate the advantages and applicability of each Google Serverless Computing option. You'll learn about Cloud Build and how to use it to prepare code files, create microservices, and build container images. The book walks readers through creating and running Docker image containers on Cloud Run and App Engine. You'll learn how to use kubectl to create and manage Kubernetes clusters, as well as how to configure the autoscaler for increased resilience and availability. You'll build a pipeline that uses Cloud Build to automate CI/CD and Pub/Sub to ingest streaming data. Finally, you'll have the opportunity to learn about Anthos, which enables you to manage massive GKE clusters in both Cloud and on-premises environments. WHAT YOU WILL LEARN ● Distinguish between using containers or microservices for cloud native apps. ● Build a streaming data pipeline using BigQuery and Dataflow using Pub/Sub. ● Practice to deploy and optimize cloud native applications on Kubernetes Engine. ● Build continuous integration/continuous delivery pipelines and improve Kubernetes apps. ● Learn to protect apps running on GCP from cyberattacks. WHO THIS BOOK IS FOR This book is meant for the Cloud and DevOps professionals and for those who wish to learn about Google Cloud services and incorporate them into end-to-end cloud applications. TABLE OF CONTENTS 1. Introducing Cloud Native Apps 2. Developing Cloud Native Apps with Cloud Shell 3. Preparing Source-Code with Cloud Build 4. Create and Deploy Microservices 5. Building and Deploying Containers in Cloud Build 6. Create a Serverless Pipeline with Pub/Sub, Dataflow and BigQuery 7. Container Orchestration with Google Kubernetes Engine 8. Deploying and Managing Kubernetes Applications 9. Optimizing Kubernetes Cluster and Apps in GKE 10. Deploying a CI/CD Pipeline with Kubernetes and Cloud Build 11. Build a Software Delivery Platform with Anthos 12. Application Management with Anthos 13. Securing Cloud Native Apps in Anthos |
| cloud native technologies list: Cloud-Native Applications in Java Ajay Mahajan, Munish Kumar Gupta, Shyam Sundar, 2018-02-26 Highly available microservice-based web apps for Cloud with Java Key Features Take advantage of the simplicity of Spring to build a full-fledged application Let your applications run faster while generating smaller cloud service bills Integrate your application with various tools such as Docker and ElasticSearch and use specific tools in Azure and AWS Book Description Businesses today are evolving so rapidly that they are resorting to the elasticity of the cloud to provide a platform to build and deploy their highly scalable applications. This means developers now are faced with the challenge of building build applications that are native to the cloud. For this, they need to be aware of the environment, tools, and resources they’re coding against. If you’re a Java developer who wants to build secure, resilient, robust, and scalable applications that are targeted for cloud-based deployment, this is the book for you. It will be your one stop guide to building cloud-native applications in Java Spring that are hosted in On-prem or cloud providers - AWS and Azure The book begins by explaining the driving factors for cloud adoption and shows you how cloud deployment is different from regular application deployment on a standard data centre. You will learn about design patterns specific to applications running in the cloud and find out how you can build a microservice in Java Spring using REST APIs You will then take a deep dive into the lifecycle of building, testing, and deploying applications with maximum automation to reduce the deployment cycle time. Gradually, you will move on to configuring the AWS and Azure platforms and working with their APIs to deploy your application. Finally, you’ll take a look at API design concerns and their best practices. You’ll also learn how to migrate an existing monolithic application into distributed cloud native applications. By the end, you will understand how to build and monitor a scalable, resilient, and robust cloud native application that is always available and fault tolerant. What you will learn See the benefits of the cloud environment when it comes to variability, provisioning, and tooling support Understand the architecture patterns and considerations when developing on the cloud Find out how to perform cloud-native techniques/patterns for request routing, RESTful service creation, Event Sourcing, and more Create Docker containers for microservices and set up continuous integration using Jenkins Monitor and troubleshoot an application deployed in the cloud environment Explore tools such as Docker and Kubernetes for containerization and the ELK stack for log aggregation and visualization Use AWS and Azure specific tools to design, develop, deploy, and manage applications Migrate from monolithic architectures to a cloud native deployment Who this book is for Java developers who want to build secure, resilient, robust and scalable applications that are targeted for cloud based deployment, will find this book helpful. Some knowledge of Java, Spring, web programming and public cloud providers (AWS, Azure) should be sufficient to get you through the book. |
| cloud native technologies list: Practical Oracle Cloud Infrastructure Michał Tomasz Jakóbczyk, 2020-01-31 Use this fast-paced and comprehensive guide to build cloud-based solutions on Oracle Cloud Infrastructure. You will understand cloud infrastructure, and learn how to launch new applications and move existing applications to Oracle Cloud. Emerging trends in software architecture are covered such as autonomous platforms, infrastructure as code, containerized applications, cloud-based container orchestration with managed Kubernetes, and running serverless workloads using open-source tools. Practical examples are provided. This book teaches you how to self-provision the cloud resources you require to run and scale your custom cloud-based applications using a convenient web console and programmable APIs, and you will learn how to manage your infrastructure as code with Terraform. You will be able to plan, design, implement, deploy, run, and monitor your production-grade and fault-tolerant cloud software solutions in Oracle's data centers across the world, paying only for the resources you actually use. Oracle Cloud Infrastructure is part of Oracle's new generation cloud that delivers a complete and well-integrated set of Infrastructure as a Service (IaaS) capabilities (compute, storage, networking), edge services (DNS, web application firewall), and Platform as a Service (PaaS) capabilities (such as Oracle Autonomous Database which supports both transactional and analytical workloads, the certified and fully managed Oracle Kubernetes Engine, and a serverless platform based on an open-source Fn Project). What You Will LearnBuild software solutions on Oracle CloudAutomate cloud infrastructure with CLI and TerraformFollow best practices for architecting on Oracle CloudEmploy Oracle Autonomous Database to obtain valuable data insightsRun containerized applications on Oracle’s Container Engine for KubernetesUnderstand the emerging Cloud Native ecosystem Who This Book Is For Cloud architects, developers, DevOps engineers, and technology students and others who want to learn how to build cloud-based systems on Oracle Cloud Infrastructure (OCI) leveraging a broad range of OCI Infrastructure as a Service (IAAS) capabilities, Oracle Autonomous Database, and Oracle's Container Engine for Kubernetes. Readers should have a working knowledge of Linux, exposure to programming, and a basic understanding of networking concepts. All exercises in the book can be done at no cost with a 30-day Oracle Cloud trial. |
| cloud native technologies list: Cloud Native Infrastructure with Azure Nishant Singh, Michael Kehoe, 2022-02-09 The cloud is becoming the de facto home for companies ranging from enterprises to startups. Moving to the cloud means moving your applications from monolith to microservices. But once you do, running and maintaining these services brings its own level of complexity. The answer? Modularity, deployability, observability, and self-healing capacity through cloud native development. With this practical book, Nishant Singh and Michael Kehoe show you how to build a true cloud native infrastructure using Microsoft Azure or another cloud computing solution by following guidelines from the Cloud Native Computing Foundation (CNCF). DevOps and site reliability engineers will learn how adapting applications to cloud native early in the design phase helps you fully utilize the elasticity and distributed nature of the cloud. This book helps you explore: Why go cloud native? How to use infrastructure as code What it takes to containerize an application Why and how Kubernetes is the grand orchestrator How to create a Kubernetes cluster on Azure How observability complements monitoring How to use service discovery and a service mesh to find new territories How networking and policy management serve as gatekeepers How distributed databases and storage work |
| cloud native technologies list: Digital Transformation Using Emerging Technologies Jason M Anderson, Fawad A Khan, 2021-07-14 Digital Transformation has become the mantra for many businesses big and small in the last few years with the Covid19 pandemic accelerating such transformations for many organizations. Competitive pressures, higher customer expectations, and prospects of revenue growth are the key drivers for many of these digital initiatives. Various emerging technologies such as Cloud Computing, Machine Learning, Artificial Intelligence, Internet of Things (IoT) and Blockchain are key contributors to these digital transformations.If you are in a CxO role (CIO, CTO. CDO, et. al) for an organization and are responsible for the Digital Transformation of your organization, then this book is for you. This book can be used as a reference guide by the CxO to understand the basic concepts of Digital Transformation along with the fundamentals of various key emerging technologies. The book provides examples of services and tools from Microsoft Azure Cloud to help you harness these technologies to enable your digital transformation scenarios. Throughout the book we have also included industry statistics, expert opinions, business use cases, and customer stories. The book is organized into the following chapters to help you learn in a systematic way: Chapter 1: Digital TransformationThis chapter provides an introduction and overview of Digital Transformation including the What, Why, Who and the How of transformation via digital technologies. We also outline of the best practices for successful execution of your transformation initiatives, review key challenges, and reasons for digital transformation failures. Chapter 2: Cloud ComputingThis chapter outlines Cloud Computing history, core concepts and benefits. Cloud deployment and service models are introduced and discussed in detail. Considerations for transforming legacy IT to Cloud are discussed along with challenges and outlook of Cloud computing. Chapter 3: Azure Cloud ServicesThis chapter dives specifically into Microsoft Azure Cloud and outlines the key services and tools it offers. Basic Azure IaaS, PaaS and DBaaS services are introduced and discussed. Key and emerging Cloud services including serverless, containers and hybrid Cloud are described along with their benefits and business use cases. Chapter 4: Machine LearningMachine learning is introduced along with its core concepts around data, algorithms, models, training, and deployment. Azure Machine Learning tools and services are discussed to help you understand how you can use them to realize your Machine learning scenarios. This chapter concludes with an overview at the challenges and the future of Machine learning.Chapter 5: Artificial IntelligenceThis chapter explores Artificial Intelligence, it benefits and business use cases. Azure AI platform services available are explored such as Azure Cognitive services, Bot services, Cognitive Search services and Databricks services. AI challenges section looks at primary business and AI domain specific hurdles and issues. Chapter concludes with an outlook of AI with discussion around AI governance, Responsible AI, and Technical Advancements in AI. Chapter 6: Internet of Things (IoT)This chapter reviews the basics of Internet of Things (IoT), its business value, and use cases. Various Azure IoT offerings and services are explored to get you started with it. Azure IoT SaaS solution, IoT Central, is reviewed to see how it can be utilized to build a no-code IoT solution along with building customized solutions. Chapter concludes with IoT challenges and the future of this technology. Chapter 7: BlockchainOverview of Blockchain and its business uses for various industries. Enterprise Blockchain is discussed in detail and Azure Blockchain services are introduced and how they can be used for enterprise scenarios. Chapter also explores various challenges this technology faces along with where this technology is heading in the future. |
| cloud native technologies list: Hands-On Serverless Computing with Google Cloud Richard Rose, 2020-02-14 Effectively deploy fully managed workloads using Google Cloud's serverless services Key FeaturesUse real-world use cases to understand the core functionalities of Functions as a ServiceExplore the potential of Cloud Run, Knative, Cloud Build, Google Kubernetes Engine, and Cloud StorageGet to grips with architectural decisions, seamless deployments, containerization, and serverless solutionsBook Description Google Cloud's serverless platform allows organizations to scale fully managed solutions without worrying about the underlying infrastructure. With this book, you will learn how to design, develop, and deploy full stack serverless apps on Google Cloud. The book starts with a quick overview of the Google Cloud console, its features, user interface (UI), and capabilities. After getting to grips with the Google Cloud interface and its features, you will explore the core aspects of serverless products such as Cloud Run, Cloud Functions and App Engine. You will also learn essential features such as version control, containerization, and identity and access management with the help of real-world use cases. Later, you will understand how to incorporate continuous integration and continuous deployment (CI/CD) techniques for serverless applications. Toward the concluding chapters, you will get to grips with how key technologies such as Knative enable Cloud Run to be hosted on multiple platforms including Kubernetes and VMware. By the end of this book, you will have become proficient in confidently developing, managing, and deploying containerized applications on Google Cloud. What you will learnExplore the various options for deploying serverless workloads on Google CloudDetermine the appropriate serverless product for your application use caseIntegrate multiple lightweight functions to build scalable and resilient servicesIncrease productivity through build process automationUnderstand how to secure serverless workloads using service accountsBuild a scalable architecture with Google Cloud Functions and Cloud RunWho this book is for If you are a cloud administrator, architect, or developer who wants to build scalable systems and deploy serverless workloads on Google Cloud, then this book is for you. To get the most out of this book, a basic understanding of the serverless ecosystem and cloud computing will be beneficial. |
| cloud native technologies list: Building Secure Automotive IoT Applications Dr. Dennis Kengo Oka, Sharanukumar Nadahalli, Jeff Yost, Ram Prasad Bojanki, 2024-08-28 Enhance your automotive IoT design and development knowledge by learning vehicle architectures, cybersecurity best practices, cloud applications, and software development processes Key Features Explore modern vehicle architectures designed to support automotive IoT use cases Discover cybersecurity practices and processes to develop secure automotive IoT applications Gain insights into how cloud technologies and services power automotive IoT applications Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionSoftware-defined vehicles, equipped with extensive computing power and connectivity, are unlocking new possibilities in automotive Internet of Things (IoT) applications, creating a critical need for skilled software engineers to lead innovation in the automotive sector. This book equips you to thrive in this industry by learning automotive IoT software development. The book starts by examining the current trends in automotive technology, highlighting IoT applications and key vehicle architectures, including the AUTOSAR platform. It delves into both classic and service-oriented vehicle diagnostics before covering robust security practices for automotive IoT development. You’ll learn how to adhere to industry standards such as ISO/SAE 21434, ASPICE for cybersecurity, and DevSecOps principles, with practical guidance on establishing a secure software development platform. Advancing to the system design of an automotive IoT application, you’ll be guided through the development of a remote vehicle diagnostics application and progress through chapters step by step, addressing the critical aspects of deploying and maintaining IoT applications in production environments. By the end of the book, you’ll be ready to integrate all the concepts you’ve learned to form a comprehensive framework of processes and best practices for embedded automotive development.What you will learn Explore the current automotive landscape and IoT tech trends Examine automotive IoT use cases such as phone-as-a-key, predictive maintenance, and V2X Grasp standard frameworks such as classic and adaptive AUTOSAR Get to grips with vehicle diagnostic protocols such as UDS, DoIP, and SOVD Establish a secure development process and mitigate software supply chain risks with CIAD, RASIC, and SBOM Leverage ASPICE and functional safety processes for industry standards compliance Understand how to design, develop, and deploy an automotive IoT application Who this book is for This book is for embedded developers and software engineers working in the automotive industry looking to learn IoT development, as well as IoT developers who want to learn automotive development. A fundamental grasp of software development will assist with understanding the concepts covered in the book. |
| cloud native technologies list: The Cloud Computing Book Douglas Comer, 2021-06-30 The latest textbook from best-selling author Provides a comprehensive introduction to cloud computing |
| cloud native technologies list: Microsoft Azure Network Security Nicholas DiCola, Anthony Roman, 2021-05-12 Master a complete strategy for protecting any Azure cloud network environment! Network security is crucial to safely deploying and managing Azure cloud resources in any environment. Now, two of Microsoft's leading experts present a comprehensive, cloud-native approach to protecting your network, and safeguarding all your Azure systems and assets. Nicholas DiCola and Anthony Roman begin with a thoughtful overview of network security's role in the cloud. Next, they offer practical, real-world guidance on deploying cloud-native solutions for firewalling, DDOS, WAF, and other foundational services – all within a best-practice secure network architecture based on proven design patterns. Two of Microsoft's leading Azure network security experts show how to: Review Azure components and services for securing network infrastructure, and the threats to consider in using them Layer cloud security into a Zero Trust approach that helps limit or contain attacks Centrally direct and inspect traffic with the managed, stateful, Platform-as-a-Service Azure Firewall Improve visibility into Azure traffic with Deep Packet Inspection Optimize the way network and web application security work together Use Azure DDoS Protection (Basic and Standard) to mitigate Layer 3 (volumetric) and Layer 4 (protocol) DDoS attacks Enable log collection for Firewall, DDoS, WAF, and Bastion; and configure NSG Flow Logs and Traffic Analytics Continually monitor network security with Azure Sentinel, Security Center, and Network Watcher Customize queries, playbooks, workbooks, and alerts when Azure's robust out-of-the-box alerts and tools aren't enough Build and maintain secure architecture designs that scale smoothly to handle growing complexity About This Book For Security Operations (SecOps) analysts, cybersecurity/information security professionals, network security engineers, and other IT professionals For individuals with security responsibilities in any Azure environment, no matter how large, small, simple, or complex |
| cloud native technologies list: Edge Computing Systems with Kubernetes Sergio Méndez, 2022-10-14 Understand how to use K3s and k3OS for different use cases and discover best practices for building an edge computing system Key FeaturesA guide to implementing an edge computing environmentReduce latency and costs for real-time applications running at the edgeFind stable and relevant cloud native open source software to complement your edge environmentsBook Description Edge computing is a way of processing information near the source of data instead of processing it on data centers in the cloud. In this way, edge computing can reduce latency when data is processed, improving the user experience on real-time data visualization for your applications. Using K3s, a light-weight Kubernetes and k3OS, a K3s-based Linux distribution along with other open source cloud native technologies, you can build reliable edge computing systems without spending a lot of money. In this book, you will learn how to design edge computing systems with containers and edge devices using sensors, GPS modules, WiFi, LoRa communication and so on. You will also get to grips with different use cases and examples covered in this book, how to solve common use cases for edge computing such as updating your applications using GitOps, reading data from sensors and storing it on SQL and NoSQL databases. Later chapters will show you how to connect hardware to your edge clusters, predict using machine learning, and analyze images with computer vision. All the examples and use cases in this book are designed to run on devices using 64-bit ARM processors, using Raspberry Pi devices as an example. By the end of this book, you will be able to use the content of these chapters as small pieces to create your own edge computing system. What you will learnConfigure k3OS and K3s for development and production scenariosPackage applications into K3s for shipped-node scenariosDeploy in occasionally connected scenarios, from one node to one million nodesManage GitOps for applications across different locationsUse open source cloud native software to complement your edge computing systemsImplement observability event-driven and serverless edge applicationsCollect and process data from sensors at the edge and visualize it into the cloudWho this book is for This book is for engineers (developers and/or operators) seeking to bring the cloud native benefits of GitOps and Kubernetes to the edge. Anyone with basic knowledge of Linux and containers looking to learn Kubernetes using examples applied to edge computing and hardware systems will benefit from this book. |
| cloud native technologies list: Industrializing Financial Services with DevOps Spyridon Maniotis, 2022-12-09 Embrace best practices to advance and help evolve your DevOps operating model in the right direction and overcome common challenges that financial services organizations face. Purchase of the print or kindle book includes a free eBook in the PDF format. Key FeaturesDesign the right DevOps operating model for your organization through practical examplesGet insights into a variety of proven practices and concepts that you can employ during your DevOps adoptionGain a holistic view of the complete DevOps capabilities and mechanisms to be enabledBook Description In recent years, large financial services institutions have been embracing the concept of DevOps in the core of their digital transformation strategies. This book is inspired by real enterprise DevOps adoptions in the financial services industry and provides a comprehensive proven practice guide on how large corporate organizations can evolve their DevOps operating model. The book starts by outlining the fundamentals comprising a complete DevOps operating model. It continues with a zoom in on those fundamentals, combining adoption frameworks with real-life examples. You'll cover the three main themes underpinning the book's approach that include the concepts of 360°, at relevance, and speeds. You'll explore how a bank's corporate and technology strategy links to its enterprise DevOps evolution. The book also provides a rich array of proven practices on how to design and create a harmonious 360° DevOps operating model which should be enabled and adopted at relevance in a multi-speed context. It comes packed with real case studies and examples from the financial services industry that you can adopt in your organization and context. By the end of this book, you will have plenty of inspiration that you can take back to your organization and be able to apply the learning from pitfalls and success stories covered in the book. What you will learnUnderstand how a firm's corporate strategy can be translated to a DevOps enterprise evolutionEnable the pillars of a complete DevOps 360° operating modelAdopt DevOps at scale and at relevance in a multi-speed contextImplement proven DevOps practices that large incumbents banks followDiscover core DevOps capabilities that foster the enterprise evolutionSet up DevOps CoEs, platform teams, and SRE teamsWho this book is for This book is for DevOps practitioners, banking technologists, technology managers, business directors and transformation leads. Prior knowledge of fundamental DevOps terminologies and concepts and some experience practicing DevOps in large organizations will help you make the most out of this book. |
| cloud native technologies list: Architecting Cloud-Native Serverless Solutions Safeer CM, 2023-06-23 Get up and running with serverless workloads across AWS, Azure, GCP, Kubernetes, and virtual machines with real-life examples and best practices for design, development, and security of serverless applications Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn with DIY projects and step-by-step instructions for different serverless technologies and vendors Explore detailed sections on running serverless workloads across Kubernetes and virtual machines Discover Cloudflare Serverless Solutions to modernize your web applications Book Description Serverless computing has emerged as a mainstream paradigm in both cloud and on-premises computing, with AWS Lambda playing a pivotal role in shaping the Function-as-a-Service (FaaS) landscape. However, with the explosion of serverless technologies and vendors, it has become increasingly challenging to comprehend the foundational services and their offerings. Architecting Cloud Native Serverless Solutions lays a strong foundation for understanding the serverless landscape and technologies in a vendor-agnostic manner. You'll learn how to select the appropriate cloud vendors and technologies based on your specific needs. In addition, you'll dive deep into the serverless services across AWS, GCP, Azure, and Cloudflare followed by open source serverless tools such as Knative, OpenFaaS, and OpenWhisk, along with examples. You'll explore serverless solutions on Kubernetes that can be deployed on both cloud-hosted clusters and on-premises environments, with real-world use cases. Furthermore, you'll explore development frameworks, DevOps approaches, best practices, security considerations, and design principles associated with serverless computing. By the end of this serverless book, you'll be well equipped to solve your business problems by using the appropriate serverless vendors and technologies to build efficient and cost-effective serverless systems independently. What you will learn Understand the serverless landscape and its potential Build serverless solutions across AWS, Azure, and GCP Develop and run serverless applications on Kubernetes Implement open source FaaS with Knative, OpenFaaS, and OpenWhisk Modernize web architecture with Cloudflare Serverless Discover popular serverless frameworks and DevOps for serverless Explore software design and serverless architecture patterns Acquire an understanding of serverless development and security best practices Who this book is for This book is for DevOps, platform, cloud, site reliability engineers, or application developers looking to build serverless solutions. It's a valuable reference for solution architects trying to modernize a legacy application or working on a greenfield project. It's also helpful for anyone trying to solve business or operational problems without wanting to manage complicated technology infrastructure using serverless technologies. A basic understanding of cloud computing and some familiarity with at least one cloud vendor, Python programming language, and working with CLI will be helpful when reading this book. |
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