Book Image

Modern DevOps Practices

By : Gaurav Agarwal
Book Image

Modern DevOps Practices

By: Gaurav Agarwal

Overview of this book

Containers have entirely changed how developers and end-users see applications as a whole. With this book, you'll learn all about containers, their architecture and benefits, and how to implement them within your development lifecycle. You'll discover how you can transition from the traditional world of virtual machines and adopt modern ways of using DevOps to ship a package of software continuously. Starting with a quick refresher on the core concepts of containers, you'll move on to study the architectural concepts to implement modern ways of application development. You'll cover topics around Docker, Kubernetes, Ansible, Terraform, Packer, and other similar tools that will help you to build a base. As you advance, the book covers the core elements of cloud integration (AWS ECS, GKE, and other CaaS services), continuous integration, and continuous delivery (GitHub actions, Jenkins, and Spinnaker) to help you understand the essence of container management and delivery. The later sections of the book will take you through container pipeline security and GitOps (Flux CD and Terraform). By the end of this DevOps book, you'll have learned best practices for automating your development lifecycle and making the most of containers, infrastructure automation, and CaaS, and be ready to develop applications using modern tools and techniques.
Table of Contents (19 chapters)
1
Section 1: Container Fundamentals and Best Practices
7
Section 2: Delivering Containers
15
Section 3: Modern DevOps with GitOps

Docker monitoring with Prometheus

Monitoring Docker nodes and containers are an essential part of managing Docker. There are various tools available for monitoring Docker. While you can use traditional tools such as Nagios, Prometheus is gaining ground in cloud-native monitoring because of its simplicity and pluggable architecture.

Prometheus is a free, open source monitoring tool that provides a dimensional data model, efficient and straightforward querying using the Prometheus query language (PromQL), efficient time-series databases, and modern alerting capabilities.

It has several exporters available for exporting data from various sources and supports both virtual machines and containers. Before we delve into the details, let's look at some of the challenges with container monitoring.

Challenges with container monitoring

From a conceptual point of view, there is no difference between container monitoring and the traditional method. You would still need metrics...