Course Outline

[Day 01]

Introduction

Overview of container orchestration with Kubernetes for government use cases.

Overview of Kubernetes architecture for government applications:

  • Pods, labels/selectors, replication controllers, services, API

Installing a Kubernetes cluster for government operations

Pulling a Docker image from the internet for government environments

Creating Kubernetes pods, volumes, and deployments for government projects

Grouping and organizing your cluster for government workflows

Using Kubernetes Namespaces to manage different environments within the same cluster:

  • Managing test, staging, and production environments for government applications
  • Kubernetes Namespaces best practices for government use

Discovering and connecting to containers in a government context

Discovering and publishing services for government operations

  • Non-HTTP services (Passive FTP, SMTP, LDAP, etc.) for government systems

Kubernetes security for government compliance:

  • Authentication & authorization for government applications

Upgrading a Kubernetes cluster with minimal disruption for government operations

  • Minimizing the impact on government services during upgrades

Advanced networking for government environments:

  • Docker networking vs. Kubernetes networking for government use

Interfacing between network providers and Kubernetes networking for government systems:

  • Best practices for separating services in a cluster for government operations
  • Comparison of different CNI providers (performance, features, etc.) for government needs

Monitoring Kubernetes for government compliance:

  • Cluster logging with Elasticsearch and fluentd for government systems
  • Container level monitoring (cAdvisor UI, Influxdb, Prometheus) for government applications

Best Practices for running containerized servers and data stores in a government context


[Day 02]

Scaling your Kubernetes cluster for government operations

Infrastructure for Kubernetes in a government setting:

  • Provisioning, partitioning, networking for government environments

Building a high-availability cluster for government services:

  • Load balancing and service discovery for government applications

Deploying a scalable application for government use:

  • Horizontal pod autoscaling for government systems
  • Database clustering in Kubernetes for government data stores

Updating your application for government compliance:

  • Releases in Kubernetes for government operations

Troubleshooting for government applications:

  • Diagnosing and fixing common Kubernetes issues in a government context

Summary and Conclusion for government audiences

Requirements

  • Experience with Docker containers for government use
  • Familiarity with the Linux command line for government systems
  • An understanding of networking concepts for government networks

Audience

  • Software Developers for government agencies
  • Architects for government projects
  • Deployment Engineers for government initiatives
 14 Hours

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