Kubernetes Design Patterns and Extensions
- Course Code LO035426
- Duration 1 day
Course Delivery
Additional Payment Options
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GTC 8 inc. VAT
GTC, Global Knowledge Training Credit, please contact Global Knowledge for more details
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Course Delivery
This course is available in the following formats:
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Company Event
Event at company
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Public Classroom
Traditional Classroom Learning
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Virtual Learning
Learning that is virtual
Request this course in a different delivery format.
Course Overview
TopCourse Schedule
TopTarget Audience
TopDevOps engineers with basic knowledge of Docker will find this course useful.
Anyone who is interested in configuring and troubleshooting Kubernetes clusters and developing microservices-based applications on Kubernetes clusters, will find this course very useful.
Course Objectives
Topensure that your container-based applications sail into production without hiccups, you need robust container orchestration. This course teaches you the art of container management with Kubernetes.
The course will provide enough knowledge of the following:
- Understand and classify software designs patterns as per the cloud-native paradigm
- Apply best practices in Kubernetes with design patterns
- Access the Kubernetes API programmatically using client libraries
- Extend Kubernetes with custom resources and controllers
- Integrate access control mechanisms and interact with the resource lifecycle in Kubernetes
- Develop and run custom schedulers in Kubernetes
Course Content
TopLESSON 1: KUBERNETES DESIGN PATTERNS
- Software Design Patterns
- Kubernetes Design Patterns
LESSON 2: KUBERNETES CLIENT LIBRARIES
- Accessing Kubernetes API
- Official Client Libraries
- Community Maintained Client Libraries
LESSON 3: KUBERNETES EXTENSIONS
- Kubernetes Extension Points
- Extending Kubernetes Clients
- Extending Kubernetes API
- Kubernetes Dynamic Admission Control
- Extending Kubernetes Scheduler
- Extending Kubernetes Infrastructure
Course Prerequisites
TopHardware:
For an optimal experience with hands-on labs and other practical activities, we recommend the following hardware configuration:
- Processor: Intel Core i7 or equivalent
- Memory: 8GB RAM
- Storage: 35 GB available space
Software:
- Access to a Kubernetes cluster with a version equal to or higher than 1.10 Local Kubernetes solutions such as minikube or clusters living in cloud providers: https://github.com/kubernetes/minikube
- The Kubernetes command-line tool kubectl is required for accessing Kubernetes from the Terminal: https://kubernetes.io/docs/tasks/tools/install-kubectl/
- The Docker client and server with a minimum version of 18.03 are required for building and testing the client libraries:https: //www.docker.com/get-started
- Python and Go installation is not required but is recommended for playing around with the client libraries locally: https://www.python.org/downloads/https://golang.org/
