Go Microservices & Kubernetes

Beginner
3m 9s
1,363
4.8/5

This lesson explores how to build microservices in Go and deploy them on Kubernetes to create reusable components that can be fully managed in the cloud. We'll talk about what a microservice is and its overall architecture. We'll then take a look at the Go programming language, its benefits, and why it works well for building microservices.

You'll also get an intro to Kubernetes including what it is, what it is used for, and the key components that are needed to get a microservice from code to be exposed on the internet.

We'll then combine these three services to do an example use case where we'll build a microservice in Go and deploy it on Kubernetes. Finally, we'll look at CI/CD integration with GitHub and Google Cloud and how you can automate your deployments.

Learning Objectives

  • Learn about microservices and their overall architecture
  • Learn about the Go programming language and why it's good for building microservices
  • Understand how Kubernetes can be used to deploy microservices
  • Learn about CI/CD with GitHub and Google Cloud

Intended Audience

This lesson is intended for engineers throughout the tech stack or anyone who wants to get their feet wet in DevOps and learn how programs can be managed in the cloud.

Prerequisites

There are no essential prerequisites for this lesson. However, we recommend that you have:

  • Experience with at least one high-level programming language, whether that be Java, Python, or Ruby
  • A conceptual understanding of Linux containers and/or Docker
About the Author
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Calculated Systems was founded by experts in Hadoop, Google Cloud and AWS. Calculated Systems enables code-free capture, mapping and transformation of data in the cloud based on Apache NiFi, an open source project originally developed within the NSA. Calculated Systems accelerates time to market for new innovations while maintaining data integrity.  With cloud automation tools, deep industry expertise, and experience productionalizing workloads development cycles are cut down to a fraction of their normal time. The ability to quickly develop large scale data ingestion and processing  decreases the risk companies face in long development cycles. Calculated Systems is one of the industry leaders in Big Data transformation and education of these complex technologies.

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