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This capsule book is designed to provide DevOps teams, Networking Professionals, and Cloud Enthusiasts with the practical knowledge and skills required to set up and operate a robust service mesh with Linkerd. The book begins by demystifying the concept of service meshes, building a solid basis with an analysis of their evolution, key concepts, and the issues they face in modern cloud-native systems. It digs into Linkerd's architecture, explaining its components, features, and the seamless orchestration of microservices communication that it enables. As readers progress through the chapters, they are taken step by step through the installation and configuration of Linkerd. The book focuses on actual implementation, guiding readers through imperative and declarative methods to ensure a complete comprehension of the setup process. The following chapters cover advanced subjects such as safeguarding interservice communications, configuring secure multi-cluster links, and implementing zero-trust authorization schemes in Kubernetes clusters. Topics includes how to organize services within Linkerd, manage error handling, retries, and timeouts, and implement effective multi-cluster communication and rollout strategies. A key chapter is about Rust programming, emphasizing its importance in developing efficient and secure micro proxies. Readers learn how to construct, integrate, and optimize these proxies to improve their service mesh deployment. The book's conclusion prepares readers to work around progressive delivery, high availability, and integration with a variety of cloud settings and tools. This book serves as a complete guide, transforming its readers into skilled architects of Linkerd-based service mesh solutions, prepared to face the dynamic challenges of modern cloud-native infrastructures. Key Learnings Grasp the essentials of service mesh technology, focusing on Linkerd's transformative role in it. Uncover the architecture of Linkerd, understanding its components and operational dynamics. Master the installation and configuration of Linkerd, ensuring a seamless setup process. Learn to secure interservice communication, enhancing the reliability and safety of your network. Explore multi-cluster communication strategies, enabling robust and efficient service interactions. Delve into Rust programming for building high-performance, secure micro proxies in xii Linkerd. Gain insights into advanced traffic management using Linkerd for optimal service routing. Navigate the intricacies of progressive delivery for deploying updates with minimal user impact. Discover the power of high availability in service meshes, ensuring uninterrupted service. Develop proficiency in integrating and optimizing linkerd2-proxy, harnessing its full potential. Table of Content Introduction to Service Mesh Linkerd Architecture: Up and Running Installing and Configuring Linkerd Securing Communication with Linkerd Advanced Traffic Management Multi-Cluster Communication and Rollouts Progressive Delivery and Ingress Integration Building Micro Proxies with Rust
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.
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.
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
"Mastering Go Network Administration" is a structured beginning for network administrators looking to improve network efficiency, scalability, and security. This book provides a one-stop solution for all of your network administration needs, with comprehensive coverage of automation, security, containerization, monitoring, and performance testing. Beginning with the fundamentals of creating a network automation lab with the EVENG network simulator and the Go programming language, readers will learn the step-by-step process of installing EVE-NG, followed by the importance of service mesh in automation and how it can simplify network operations. The book delves deeply into critical topics such as deploying ingress controllers and implementing service mesh with Linkerd. Readers will learn about container-native storage, container storage management with Docker, and automated SSL certificates, firewall configuration, and network policies. Monitoring and performance tuning are also covered in the book, including how to monitor container performance and automatically roll out updates. The book covers a series of performance testing strategies like load testing, stress testing, and scalability testing. It shows readers how to find performance bottlenecks and optimise their network with the help of tools like Vegeta and Apache JMeter through the use of real-world examples. Key Learnings Setting up an EVE-NG network simulator, VIM IDE, kubeadm, and a comprehensive network automation lab to improve network efficiency, scalability, and security. Configuring ports, hosts, and servers using Go scripting to streamline network automation. Writing, testing, and validating network automation scripts to ensure smooth and reliable network administration. Building Docker images, running containers, and managing container deployments for efficient containerization. Automating load balancing, firewall configuration, and Kubernetes network policies for seamless network management. Working with popular tools such as Puppet, Zookeeper, Traefik, Envoy, and various Go networking packages. Automating SSL setup, container storage, container performance monitoring, and rolling updates. Using powerful load testing tools like Vegeta and Apache JMeter for efficient load testing, stress testing, and scalability testing to identify and eliminate performance bottlenecks. Table of Content Go Essentials for Networks Setting Up Network Automation Environment Configuring Modern Networks Write, Test and Validate Automation Scripts Automation of Configuration Management Networking with Container and Docker Orchestrating Containers and Automating Workloads Automate SSL, Container-native Storage and Performance Kubernetes Automation Service Mesh, Firewall and Network Policies Network Performance Testing Audience If you're a network administrator who wants to level up your game, "Mastering Go Network Administration" is the book for you. This book will help you become a more efficient, effective, and confident network administrator by providing clear explanations, practical examples, and comprehensive coverage.
Understand how to use service mesh architecture to efficiently manage and safeguard microservices-based applications with the help of examples Key Features Manage your cloud-native applications easily using service mesh architecture Learn about Istio, Linkerd, and Consul - the three primary open source service mesh providers Explore tips, techniques, and best practices for building secure, high-performance microservices Book Description Although microservices-based applications support DevOps and continuous delivery, they can also add to the complexity of testing and observability. The implementation of a service mesh architecture, however, allows you to secure, manage, and scale your microservices more efficiently. With the help of practical examples, this book demonstrates how to install, configure, and deploy an efficient service mesh for microservices in a Kubernetes environment. You'll get started with a hands-on introduction to the concepts of cloud-native application management and service mesh architecture, before learning how to build your own Kubernetes environment. While exploring later chapters, you'll get to grips with the three major service mesh providers: Istio, Linkerd, and Consul. You'll be able to identify their specific functionalities, from traffic management, security, and certificate authority through to sidecar injections and observability. By the end of this book, you will have developed the skills you need to effectively manage modern microservices-based applications. What you will learn Compare the functionalities of Istio, Linkerd, and Consul Become well-versed with service mesh control and data plane concepts Understand service mesh architecture with the help of hands-on examples Work through hands-on exercises in traffic management, security, policy, and observability Set up secure communication for microservices using a service mesh Explore service mesh features such as traffic management, service discovery, and resiliency Who this book is for This book is for solution architects and network administrators, as well as DevOps and site reliability engineers who are new to the cloud-native framework. You will also find this book useful if you're looking to build a career in DevOps, particularly in operations. Working knowledge of Kubernetes and building microservices that are cloud-native is necessary to get the most out of this book.
A step-by-step, comprehensive guide that includes real-world use cases to help you successfully develop and run applications and mission-critical workloads using MicroK8s Key FeaturesAn easy-to-follow guide that helps you get started with MicroK8s and other Kubernetes componentsUnderstand the key concepts and constraints for building IoT and edge architecturesGet guidance on how to develop and deploy use cases and examples on IoT and edge computing platformsBook Description Are you facing challenges with developing, deploying, monitoring, clustering, storing, securing, and managing Kubernetes in production environments as you're not familiar with infrastructure technologies? MicroK8s - a zero-ops, lightweight, and CNCF-compliant Kubernetes with a small footprint is the apt solution for you. This book gets you up and running with production-grade, highly available (HA) Kubernetes clusters on MicroK8s using best practices and examples based on IoT and edge computing. Beginning with an introduction to Kubernetes, MicroK8s, and IoT and edge computing architectures, this book shows you how to install, deploy sample apps, and enable add-ons (like DNS and dashboard) on the MicroK8s platform. You'll work with multi-node Kubernetes clusters on Raspberry Pi and networking plugins (such as Calico and Cilium) and implement service mesh, load balancing with MetalLB and Ingress, and AI/ML workloads on MicroK8s. You'll also understand how to secure containers, monitor infrastructure and apps with Prometheus, Grafana, and the ELK stack, manage storage replication with OpenEBS, resist component failure using a HA cluster, and more, as well as take a sneak peek into future trends. By the end of this book, you'll be able to use MicroK8 to build and implement scenarios for IoT and edge computing workloads in a production environment. What you will learnGet a holistic view of MicroK8s features using a sample applicationUnderstand IoT and edge computing and their architecture constraintsCreate, scale, and update HA Raspberry Pi multi-node clustersImplement AI/ML use cases with the Kubeflow platformWork with various networking plugins, and monitoring and logging toolsPerform service mesh integrations using Istio and LinkerdRun serverless applications using Knative and OpenFaaS frameworksSecure your containers using Kata and strict confinement optionsWho this book is for This book is for DevOps and cloud engineers, SREs, and application developers who want to implement efficient techniques for deploying their software solutions. It will also be useful for technical architects and technology leaders who are looking to adopt cloud-native technologies. A basic understanding of container-based application design and development, virtual machines, networking, databases, and programming will be helpful for using this book.
Understand how to use service mesh architecture to efficiently manage and safeguard microservices-based applications with the help of examples Key FeaturesManage your cloud-native applications easily using service mesh architectureLearn about Istio, Linkerd, and Consul – the three primary open source service mesh providersExplore tips, techniques, and best practices for building secure, high-performance microservicesBook Description Although microservices-based applications support DevOps and continuous delivery, they can also add to the complexity of testing and observability. The implementation of a service mesh architecture, however, allows you to secure, manage, and scale your microservices more efficiently. With the help of practical examples, this book demonstrates how to install, configure, and deploy an efficient service mesh for microservices in a Kubernetes environment. You'll get started with a hands-on introduction to the concepts of cloud-native application management and service mesh architecture, before learning how to build your own Kubernetes environment. While exploring later chapters, you'll get to grips with the three major service mesh providers: Istio, Linkerd, and Consul. You'll be able to identify their specific functionalities, from traffic management, security, and certificate authority through to sidecar injections and observability. By the end of this book, you will have developed the skills you need to effectively manage modern microservices-based applications. What you will learnCompare the functionalities of Istio, Linkerd, and ConsulBecome well-versed with service mesh control and data plane conceptsUnderstand service mesh architecture with the help of hands-on examplesWork through hands-on exercises in traffic management, security, policy, and observabilitySet up secure communication for microservices using a service meshExplore service mesh features such as traffic management, service discovery, and resiliencyWho this book is for This book is for solution architects and network administrators, as well as DevOps and site reliability engineers who are new to the cloud-native framework. You will also find this book useful if you’re looking to build a career in DevOps, particularly in operations. Working knowledge of Kubernetes and building microservices that are cloud-native is necessary to get the most out of this book.
A comprehensive guide to Kubernetes, Service Mesh, and Zero-Trust principles KEY FEATURES ● Delve into security practices that guarantee resilience and secure deployments. ● Discover strategies for managing Kubernetes clusters, enhancing performance, and achieving high availability and scalability. ● Acquire a conceptual understanding of the challenges faced in production environments and explore industry-standard solutions for efficient resolution. DESCRIPTION ​​Building and managing secure applications is a crucial aspect of modern software development, especially in distributed environments. Kubernetes and Istio, when combined, provide a powerful platform for achieving application security and managing it effectively. If you want to build and manage secure applications with ease, then this book is an ideal resource for you. The book extensively covers the building blocks of the Kubernetes orchestration engine, providing in-depth insights into key Kubernetes objects that can be effectively used for deploying containerized applications. It then focuses on all major Kubernetes constructs, offering guidance on their appropriate utilization in different scenarios, while emphasizing the significance of a Zero Trust architecture. Additionally, the book addresses important aspects such as service discovery, optimized logging, and monitoring, which play a critical role in managing distributed applications. It also incorporates essential concepts from Site Reliability Engineering and enabling engineering teams, to proactively meeting Service Level Agreements and attaining operational readiness. In the final section, the book takes a deep dive into Service Mesh, with a special focus on harnessing the strength of Istio as a powerful tool. By the end of the book, you will have the knowledge and skills to effectively build, deploy, and manage secure applications using Kubernetes and Istio. WHAT YOU WILL LEARN ● Learn how to successfully deploy applications on Kubernetes. ● Gain insights into the principles of Zero Trust architecture and its implementation within the Kubernetes orchestration platform. ● Get familiar with the concepts of service discovery and efficient scaling in Kubernetes, empowering you to optimize your application deployments. ● Learn about monitoring and logging within applications, and explore the essential aspects of observability to ensure the reliability of your systems. ● Acquire expertise in service mesh, particularly Istio, to efficiently handle traffic, enhance application reliability, and fortify security measures. WHO THIS BOOK IS FOR This book caters to a wide range of readers, including developers utilizing Kubernetes, DevOps teams, senior software engineers, cloud-native teams, and cloud developers with a foundational knowledge of containers and software development. TABLE OF CONTENTS 1. Docker and Kubernetes 101 2. PODs 3. HTTP Load Balancing with Ingress 4. Kubernetes Workload Resources 5. ConfigMap, Secrets, and Labels 6. Configuring Storage with Kubernetes 7. Introduction to Service Discovery 8. Zero Trust Using Kubernetes 9. Monitoring, Logging and Observability 10. Effective Scaling 11. Introduction to Service Mesh and Istio 12. Traffic Management Using Istio 13. Observability Using Istio 14. Securing Your Services Using Istio
Enhance your skills in building scalable infrastructure for your cloud-based applications Key FeaturesLearn to design a scalable architecture by building continuous integration (CI) pipelines with KubernetesGet an in-depth understanding of role-based access control (RBAC), continuous deployment (CD), and observabilityMonitor a Kubernetes cluster with Prometheus and GrafanaBook Description Kubernetes is among the most popular open-source platforms for automating the deployment, scaling, and operations of application containers across clusters of hosts, providing a container-centric infrastructure. Hands-On Microservices with Kubernetes starts by providing you with in-depth insights into the synergy between Kubernetes and microservices. You will learn how to use Delinkcious, which will serve as a live lab throughout the book to help you understand microservices and Kubernetes concepts in the context of a real-world application. Next, you will get up to speed with setting up a CI/CD pipeline and configuring microservices using Kubernetes ConfigMaps. As you cover later chapters, you will gain hands-on experience in securing microservices, and implementing REST, gRPC APIs, and a Delinkcious data store. In addition to this, you’ll explore the Nuclio project, run a serverless task on Kubernetes, and manage and implement data-intensive tests. Toward the concluding chapters, you’ll deploy microservices on Kubernetes and learn to maintain a well-monitored system. Finally, you’ll discover the importance of service meshes and how to incorporate Istio into the Delinkcious cluster. By the end of this book, you’ll have gained the skills you need to implement microservices on Kubernetes with the help of effective tools and best practices. What you will learnUnderstand the synergy between Kubernetes and microservicesCreate a complete CI/CD pipeline for your microservices on KubernetesDevelop microservices on Kubernetes with the Go kit framework using best practicesManage and monitor your system using Kubernetes and open-source toolsExpose your services through REST and gRPC APIsImplement and deploy serverless functions as a serviceExternalize authentication, authorization and traffic shaping using a service meshRun a Kubernetes cluster in the cloud on Google Kubernetes EngineWho this book is for This book is for developers, DevOps engineers, or anyone who wants to develop large-scale microservice-based systems on top of Kubernetes. If you are looking to use Kubernetes on live production projects or want to migrate existing systems to a modern containerized microservices system, then this book is for you. Coding skills, together with some knowledge of Docker, Kubernetes, and cloud concepts will be useful.