Understand Kubernetes and other orchestration systems deeply by building your own using Go and the Docker API.

In  Build an Orchestrator in Go you will learn how to:

Identify the components that make up any orchestration system Schedule containers on to worker nodes Start and stop containers using the Docker API Manage a cluster of worker nodes using a simple API Work with algorithms taken from cutting-edge Google Borg research papers Demystify orchestration systems like Kubernetes and Nomad
Orchestration systems like Kubernetes coordinate other software subsystems and services to create a complete organized system. Although orchestration tools have a reputation for complexity, they're designed around few important patterns that apply across many aspects of software development.  Build an Orchestrator in Go reveals the inner workings of orchestration frameworks by guiding you as you design and implement your own using the Go SDK. As you create your own orchestration framework, you'll improve your understanding of Kubernetes and its role in distributed system design. You'll also build the skills required to design custom orchestration solutions for those times when an out-of-the-box solution isn't a good fit. about the technology Orchestration systems provide the management framework for software and infrastructure that's distributed across multiple machines and services. By managing the many individual components and containers in a large application, they ensure web apps are resilient and reliable, automatically switching between resources in response to crashes and outages. A properly designed orchestration system can seamlessly scale to handle traffic loads, and reduce time-consuming manual work for sysadmin and site reliability engineers. about the book Build an Orchestrator in Go teaches you to implement an orchestrator from scratch. You'll discover the components that make up all orchestration systems, and use the Docker API and Go SDK to build layers of functionality from tasks, to workers, to the manager. Learn how to save on costs by maximising the usage of a cluster, or spread tasks among workers to avoid overload and downtime. Once you've built your working system, you'll even implement a command line user interface to easily manage your orchestrator.