Troubleshoot and deploy microservices in the cloud
Docker is popularly used to build, ship, and run containers, and Kubernetes is used to orchestrate Docker containers. Instead of being rival technologies, Docker and Kubernetes complement each other through every stage of deployment. The best way of running a microservice app architecture is via containers as they are lightweight runtime environments and can be run on physical or virtual machines.
If you already have some experience working with Kubernetes and Docker, this course is a perfect guide with recipes that are proven to work with microservice containers using Kubernetes and Docker. Each video supplies a recipe containing a tip, trick, and technique to help you work more effectively and synergistically with Kubernetes and Docker to build, ship, run, and manage containers for your applications.
You will implement tips to help you select a microservice architecture that is appropriate for your application and business, and explore best practices to follow when building and deploying microservices for your apps throughout the workflow. You will use Docker to package and ship your apps and Kubernetes to deploy, manage, and scale them. Optionally, you can also implement best practices when deploying apps to the cloud (AWS) and multi-container microservices. You will improve performance and security in containers and microservices (and facilitate smooth communication within them), ensuring there is no data loss. You will master troubleshooting techniques to help diagnose and debug issues relating to operations, networking, and storage; you will also learn to avoid these to ensure your workflow is efficient.
By the end of the course, you will be confident to efficiently build and deploy containers for microservices using Docker and Kubernetes.
All the code and supporting files for this course are available on GitHub at
About the Author
Tomasz Lelek is a Software Engineer and DevOps. For the past six years, he has been working as a software engineer with key operational management duties for tens of microservice infrastructures, leveraging Kubernetes and Docker. In addition, he has worked in the cloud ecosystem with hundreds of instances whose deployments were automated using Kubernetes. Moreover, his expertise encompasses implementing the automation of rolling service deployments that had zero downtime during their new release.
He has created more than 10 courses about microservices for Packt Publishing ( https://github.com/tomekl007/Packt_Publishing_courses_by_Tomasz_Lelek),
and worked on multiple projects involving Docker and Kubernetes.
He has attended multiple conferences and presented on topics including Java and JVM-related technologies.