This is the code repository for Kubernetes Recipes [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
Kubernetes is Google's solution to manage a cluster of containers. Kubernetes provides a declarative API to manage clusters while giving us a lot of flexibility. This course will provide you with recipes to better manage containers in different scenarios in production using Kubernetes. You will first learn and gain the concepts of containers and over the top how Kubernetes orchestrate the underlying container technology. Next, you will learn how to create highly available Kubernetes cluster and how to run programs on Kubernetes. Then you will be introduced to networking, storage, load balancer and Cluster DNS with practical hands-on. After that you will learn about Kubernetes self-healing and auto-scaling. Finally we will rap-up with monitoring your Kubernetes infrastructure and application though Prometheus and Grafana. Upon completion of this course, you will be able to use Kubernetes in production and will have a better understanding of how to manage your containers using Kubernetes.
- Build your own high-availability container clusters
- Deploy and manage highly scalable, containerized applications with Kubernetes
- Adopt secure and high-performance best practices with Kubernetes
- Track metrics and logs for every container running in your cluster
- Streamline the way you deploy and manage your applications with large-scale container orchestration
- Architect a robust Kubernetes cluster for long-time operation.
- Monitor and troubleshoot Kubernetes clusters and run highly available Kubernetes
- Learn the art of running complex stateful applications in your container environment
To fully benefit from the coverage included in this course, you will need:
● Have an experience with linux
● Familiarity with container technology but not necessary
● Familiarity with kubernetes but not recommended
● Understanding of Orchestration technology
This course has the following software requirements:
● Putty SSH client
● Ubuntu 16.04 LTS
● Docker
This course has been tested on the following system configuration:
● OS: Windows 7 or 10 with virtualbox or vmware workstation
● Processor: Core i7 2.4 Ghz
● Memory: 6GB
● Hard Disk Space: At least 30 GB
● Video Card: 256MB Video Memory