Leverage AWS EKS to optimally manage Kubernetes deployment, scaling, and monitoring for your containerized applications Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Seamlessly deploy and run Kubernetes applications on AWS Overcome security and networking issues in Kubernetes to improve the performance of your apps Scale and provision resources to meet the dynamic needs of the cluster using AWS EKS Book Description Kubernetes has emerged as the de facto standard for container orchestration, with recent developments making it easy to deploy and handle a Kubernetes cluster. However, a few challenges such as networking, load balancing, monitoring, and security remain. To address these issues, Amazon EKS offers a managed Kubernetes service to improve the performance, scalability, reliability, and availability of AWS infrastructure and integrate with AWS networking and security services with ease. You'll begin by exploring the fundamentals of Docker, Kubernetes, Amazon EKS, and its architecture along with different ways to set up EKS. Next, you'll find out how to manage Amazon EKS, encompassing security, cluster authentication, networking, and cluster version upgrades. As you advance, you'll discover best practices and learn to deploy applications on Amazon EKS through different use cases, including pushing images to ECR and setting up storage and load balancing. With the help of several actionable practices and scenarios, you'll gain the know-how to resolve scaling and monitoring issues. Finally, you will overcome the challenges in EKS by developing the right skill set to troubleshoot common issues with the right logic. By the end of this Kubernetes book, you'll be able to effectively manage your own Kubernetes clusters and other components on AWS. What you will learn Understand Amazon EKS architecture and how every component works Effectively manage Kubernetes cluster on AWS with Amazon EKS Build a Docker image and push it to AWS ECR Efficiently scale and provision resources leveraging Amazon EKS Dive deep into security and networking with Amazon EKS Understand Fargate serverless and apply it to the workload Who this book is for This book is for cloud architects and cloud engineers who want to efficiently manage Kubernetes with Amazon EKS. Basic knowledge of containerization, Kubernetes, Docker, and AWS services is needed to grasp the content present in this book.

Leverage AWS EKS to optimally manage Kubernetes deployment, scaling, and monitoring for your containerized applications Purchase of the print or Kindle book includes a free PDF eBook Key Features: Seamlessly deploy and run Kubernetes applications on AWS Overcome security and networking issues in Kubernetes to improve the performance of your apps Scale and provision resources to meet the dynamic needs of the cluster using AWS EKS Book Description: Kubernetes has emerged as the de facto standard for container orchestration, with recent developments making it easy to deploy and handle a Kubernetes cluster. However, a few challenges such as networking, load balancing, monitoring, and security remain. To address these issues, Amazon EKS offers a managed Kubernetes service to improve the performance, scalability, reliability, and availability of AWS infrastructure and integrate with AWS networking and security services with ease. You'll begin by exploring the fundamentals of Docker, Kubernetes, Amazon EKS, and its architecture along with different ways to set up EKS. Next, you'll find out how to manage Amazon EKS, encompassing security, cluster authentication, networking, and cluster version upgrades. As you advance, you'll discover best practices and learn to deploy applications on Amazon EKS through different use cases, including pushing images to ECR and setting up storage and load balancing. With the help of several actionable practices and scenarios, you'll gain the know-how to resolve scaling and monitoring issues. Finally, you will overcome the challenges in EKS by developing the right skill set to troubleshoot common issues with the right logic. By the end of this Kubernetes book, you'll be able to effectively manage your own Kubernetes clusters and other components on AWS. What You Will Learn: Understand Amazon EKS architecture and how every component works Effectively manage Kubernetes clusters on AWS with Amazon EKS Build a Docker image and push it to AWS ECR Efficiently scale and provision resources by leveraging Amazon EKS Explore security and networking with Amazon EKS Get to grips with serverless Fargate and apply it to the workload Who this book is for: This book is for cloud architects and cloud engineers who want to efficiently manage Kubernetes with Amazon EKS. Basic knowledge of containerization, Kubernetes, Docker, and AWS services is needed to grasp the content present in this book.

Gain hands-on skills in Kubernetes Secrets management, ensuring a comprehensive overview of the Secrets lifecycle and prioritizing adherence to regulatory standards and business sustainability Key Features Master Secrets encryption, encompassing complex life cycles, key rotation, access control, backup, and recovery Build your skills to audit Secrets consumption, troubleshoot, and optimize for efficiency and compliance Learn how to manage Secrets through real-world cases, strengthening your applications’ security posture Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionSecuring Secrets in containerized apps poses a significant challenge for Kubernetes IT professionals. This book tackles the critical task of safeguarding sensitive data, addressing the limitations of Kubernetes encryption, and establishing a robust Secrets management system for heightened security for Kubernetes. Starting with the fundamental Kubernetes architecture principles and how they apply to the design of Secrets management, this book delves into advanced Kubernetes concepts such as hands-on security, compliance, risk mitigation, disaster recovery, and backup strategies. With the help of practical, real-world guidance, you’ll learn how to mitigate risks and establish robust Secrets management as you explore different types of external secret stores, configure them in Kubernetes, and integrate them with existing Secrets management solutions. Further, you'll design, implement, and operate a secure method of managing sensitive payload by leveraging real use cases in an iterative process to enhance skills, practices, and analytical thinking, progressively strengthening the security posture with each solution. By the end of this book, you'll have a rock-solid Secrets management solution to run your business-critical applications in a hybrid multi-cloud scenario, addressing operational risks, compliance, and controls.What you will learn Explore Kubernetes Secrets, related API objects, and CRUD operations Understand the Kubernetes Secrets limitations, attack vectors, and mitigation strategies Explore encryption at rest and external secret stores Build and operate a production-grade solution with a focus on business continuity Integrate a Secrets Management solution in your CI/CD pipelines Conduct continuous assessments of the risks and vulnerabilities for each solution Draw insights from use cases implemented by large organizations Gain an overview of the latest and upcoming Secrets management trends Who this book is for This handbook is a comprehensive reference for IT professionals to design, implement, operate, and audit Secrets in applications and platforms running on Kubernetes. For developer, platform, and security teams experienced with containers, this Secrets management guide offers a progressive path—from foundations to implementation—with a security-first mindset. You’ll also find this book useful if you work with hybrid multi-cloud Kubernetes platforms for organizations concerned with governance and compliance requirements.

Learn how to build, deploy, use, and maintain your applications on Kubernetes KEY FEATURES ● Learn how to provision Kubernetes clusters using different cloud providers and infrastructure tools. ● Explore several advanced options to manage applications in Kubernetes. ● Get familiar with the best practices for securing applications and clusters. DESCRIPTION DevOps with Kubernetes combines two powerful technologies to bring efficiency and speed to the software development process. Kubernetes has become the de facto standard for container orchestration, while DevOps practices are rapidly becoming essential for organizations to manage their software development and delivery pipelines. By using Kubernetes and DevOps practices together, teams can streamline their deployment processes, reduce errors, and deliver software faster and more reliably. The book starts by addressing the real-time challenges and issues that DevOps practitioners face. The book then helps you become acquainted with the fundamental and advanced Kubernetes features, and develop a comprehensive understanding of the standard CNCF components that accompany Kubernetes. The book then delves deeper into the three leading managed Kubernetes services - GKE, AKS, and EKS. Additionally, the book will help to learn how to implement security measures to protect your Kubernetes deployments. The book further explores a range of monitoring tools and techniques that can be used to quickly identify and resolve issues in Kubernetes clusters. Finally, the book will help you learn how to use the Istio Service Mesh to secure communication between workloads hosted by Kubernetes. With this information, you will be able to deploy, scale, and monitor apps on Kubernetes. WHAT YOU WILL LEARN ● Learn how to manage stateful containers with Kubernetes. ● Get to know more observability and monitoring in Kubernetes. ● Package and deploy applications on Kubernetes using Helm. ● Learn how to use Skaffold and Flux for CI/CD. ● Learn how microservices can be managed and deployed using the Istio service mesh. WHO THIS BOOK IS FOR The book is a must-read for DevOps teams using Kubernetes to deploy container workloads. It offers valuable insights into the best practices required to make their application container-agnostic and streamline their workflows. TABLE OF CONTENTS 1. DevOps for Kubernetes 2. Container Management with Docker 3. Speeding up with Standard Kubernetes Operations 4. Stateful Workloads in Kubernetes 5. Amazon Elastic Kubernetes Service 6. Azure Kubernetes Service 7. Google Kubernetes Engine 8. Kubernetes Administrator 9. Kubernetes Security 10. Monitoring in Kubernetes 11. Packaging and Deploying in Kubernetes 12. Continuous Development and Continuous Deployment 13. Managing Microservices Using Istio Service Mesh

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Go beyond the basics of Kubernetes and explore more advanced concepts, including Kubernetes in production, governance, serverless computing, and service meshes. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Master Kubernetes architecture and design to build, deploy, and secure large-scale distributed systems Learn advanced concepts like autoscaling, multi-cluster management, serverless computing, service meshes and policy engines Explore Kubernetes 1.25 and its rich ecosystem of tools like Kubectl, Krew, K9s, Lens, and Helm Book DescriptionThe fourth edition of the bestseller Mastering Kubernetes includes the most recent tools and code to enable you to learn the latest features of Kubernetes 1.25. This book contains a thorough exploration of complex concepts and best practices to help you master the skills of designing and deploying large-scale distributed systems on Kubernetes clusters. You’ll learn how to run complex stateless and stateful microservices on Kubernetes, including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backends. In addition, you’ll understand how to utilize serverless computing and service meshes. Further, two new chapters have been added. “Governing Kubernetes” covers the problem of policy management, how admission control addresses it, and how policy engines provide a powerful governance solution. “Running Kubernetes in Production” shows you what it takes to run Kubernetes at scale across multiple cloud providers, multiple geographical regions, and multiple clusters, and it also explains how to handle topics such as upgrades, capacity planning, dealing with cloud provider limits/quotas, and cost management. By the end of this Kubernetes book, you’ll have a strong understanding of, and hands-on experience with, a wide range of Kubernetes capabilities.What you will learn Learn how to govern Kubernetes using policy engines Learn what it takes to run Kubernetes in production and at scale Build and run stateful applications and complex microservices Master Kubernetes networking with services, Ingress objects, load balancers, and service meshes Achieve high availability for your Kubernetes clusters Improve Kubernetes observability with tools such as Prometheus, Grafana, and Jaeger Extend Kubernetes with the Kubernetes API, plugins, and webhooks Who this book is for If you're a system administrator or cloud developer who wants to become comfortable with Kubernetes and would like to master its advanced features, then this book is for you. Software and DevOps engineers with a working knowledge of Kubernetes, as well as technical managers of Kubernetes-based systems, will also find this book useful. Those deciding on whether to migrate to Kubernetes and are curious about its inner workings will find plenty of answers here as well. Basic familiarity with networking concepts will prove beneficial.

Master the art of designing and creating serverless architectures and applications KEY FEATURES ● Learn to create serverless applications that leverage serverless functions, databases, data stores, and application programming interfaces. ● Learn the serverless concepts needed to provide serverless solutions for websites, mobile apps, APIs, backends, notifications, Artificial Intelligence, and Machine Learning. ● Create serverless, event-driven architectures and designs through hands-on exercises throughout the book. DESCRIPTION Serverless computing is relatively new compared to server-based designs. Amazon Web Services launched its serverless computing offering by introducing AWS Lambda. Lambda has introduced a revolution in cloud computing, where servers could be excluded from architectures, and events could be used to trigger other resources. The AWS serverless services have allowed developers, startups, and large enterprises to focus more on developing and creating features and spend less time managing and securing servers. It covers key concepts like serverless architecture and AWS services. You will learn to create event-driven apps, launch websites, and build APIs with hands-on exercises. The book will explore storage options and data processing, including serverless Machine Learning. Discover best practices for architecture, security, and cost optimization. The book will cover advanced topics like AWS SAM and Lambda layers for complex workflows. Finally, get guidance on creating new serverless apps and migrating existing ones. The knowledge gained from this book will help you create a serverless website, application programming interface, and backend. In addition, the information covered in the book will help you process and analyze data using a serverless design. WHAT YOU WILL LEARN ● Creating a serverless website using Amazon S3 and CloudFront. ● Creating a serverless API using Amazon API Gateway. ● Create serverless functions with AWS Lambda. ● Save data using Amazon DynamoDB and Amazon S3. ● Perform authentication and authorization with Amazon Cognito. WHO THIS BOOK IS FOR The book targets professionals and students who want to gain experience in software development, cloud computing, web development, data processing, or Amazon Web Services. It is ideal for cloud architects, developers, and backend engineers seeking to leverage serverless services for scalable and cost-effective applications. TABLE OF CONTENTS 1. Introduction to AWS Serverless 2. Overview of Serverless Applications 3. Designing Serverless Architectures 4. Launching a Website 5. Creating an API 6. Saving and Using Data 7. Adding Authentication and Authorization 8. Processing Data using Automation and Machine Learning 9. Sending Notifications 10. Additional Automation Topics 11. Architecture Best Practices 12. Next Steps