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Mastering Elastic Kubernetes Service on AWS

Mastering Elastic Kubernetes Service on AWS

By : Malcolm Orr, Yang-Xin Cao, Yang-Xin Cao (Eason)
4.9 (23)
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Mastering Elastic Kubernetes Service on AWS

Mastering Elastic Kubernetes Service on AWS

4.9 (23)
By: Malcolm Orr, Yang-Xin Cao, Yang-Xin Cao (Eason)

Overview of this book

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.
Table of Contents (28 chapters)
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1
Part 1: Getting Started with Amazon EKS
7
Part 2: Deep Dive into EKS
13
Part 3: Deploying an Application on EKS
20
Part 4: Advanced EKS Service Mesh and Scaling
24
Part 5: Overcoming Common EKS Challenges

Building dashboards with Managed Service for Prometheus and Grafana

Prometheus and Grafana are the de facto monitoring tools for K8s. Prometheus is a graduated project from the Cloud Native Computing Foundation (CNCF), which “scrapes” time series data from an endpoint (in the case of K8s, it’s the /metrics endpoint) and can generate alerts and store/forward the data. Grafana is an open source tool that can visualize metrics (time series), and log and trace data (discussed in the Tracing with OpenTelemetry section). Together, Prometheus and Grafana provide equivalent functionality to CloudWatch, so why use them?

As Grafana is open source, it has wide community adoption, which means it has lots of reusable dashboards created for it, is integrated into a variety of data sources (not just AWS), and arguably, has a more complete set of visualizations than CloudWatch. Prometheus supports any sort of health endpoint and so can be used easily for your applications as...

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