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Setting up a secure logging and metrics platform

Building a secure platform for storing logging with Elasticsearch (incl. ECK Operator) and Prometheus with Thanos Query for metrics

Set up a secure Elasticsearch and Prometheus setup in Kubernetes that can be used in any production environment!

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About

About

About the Book

This practical, hands-on guide shows you exactly how to build a production-grade logging and metrics platform on Kubernetes using the Elastic Cloud on Kubernetes (ECK) operator. You will deploy a fully integrated Elasticsearch cluster with Kibana, Logstash, Filebeat, and Metricbeat, secured end-to-end with mTLS and zero-trust principles. Runtime security events from the eBPF-powered Falco are streamed directly into Elasticsearch, giving you real-time threat visibility and audit trails.

On the metrics side, you will stand up a highly available Prometheus, Grafana, and Alertmanager stack, fronted by Thanos Query for global query federation and long-term retention, again with full TLS encryption and certificate management.

At the end of the book you will have a highly secure and available logging and metrics platform, ready to run on any production environment. And all the code that is needed to make this happen too.

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Author

About the Author

Werner Dijkerman

I am a nerd/geek and yes, I do also read comics about Superman/Batman/etc. But also about IT topics and/or self-help/psychology subjects.

Enthusiastic and motivated Cloud Infrastructure Engineer focused on personal and technical growth. Shows great interest in cloud infrastructure, configuration management, containerization, monitoring, observability and automation.

Actively contributes to the open source community and have been a technical reviewer for books about Kubernetes, DevOps, Terraform, Ansible and more from Packt, BPB Online, Manning and O'Reilly. Years of experience through DevOps mindset (15 years), everything can be automated and loves the “If your sh*it isn’t in Git, it doesn’t exist” mindset.

Contents

Table of Contents

Chapter 1: Introduction

  1. Welcome and Guide Overview
  2. Tooling
  3. Who and why
  4. AI
  5. Why monitoring is important
  6. todo

Chapter 2: Building a secure logging solution with the ECK operator

  1. Introduction
  2. Prerequisites & Architecture Overview
  3. Installing the ECK Operator
  4. Deploying the Core Elastic Stack
  5. Data Collection Layer
  6. Security Foundations
  7. Extending with Runtime Security Events
  8. Configuring Automated Snapshots & Backups
  9. Production ready
  10. What We Deliberately Left Out
  11. Summary

Chapter 3: Metrics setup with Prometheus and Thanos Query

  1. Basic setup for metrics
  2. Network policies
  3. Configuring TLS
  4. Adding Metrics
  5. Configure for Production
  6. What did we not do?
  7. Summary

Chapter 4: Alerts and visualizations

Appendix 1 Setting up Kind cluster

  1. Introduction
  2. Kind
  3. Gateway API CRDs
  4. Cilium
  5. Cert Manager
  6. Cert Manager CSI Driver
  7. Reflector
  8. Configuration
  9. Summary

Appendix 2 ILM

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