Real-life Kubernetes

Unique content - real-life use cases, modern infrastructure, CI/CD/GitOps principles shown in practice.

Certificate of attendance - you will get a shareable online certificate.

Exam after the course - you may pass an optional 1-hour exam and get your score printed on the certificate.

Workshop happens online - join from the convenience of your office or home

Video recordings will be available after the course - you can revisit some topics later.

Live and interactive - you can ask questions in the chat or over audio and get live clarifications.

Q&A session in the end of each day - you will to get answers to more complex questions in a 1-hour long Q&A session.

Quizzes and polls during the course - learning should be fun!

Practical exercises with solutions - lots of simple and not-so-simple tasks to practice with during the course; Solutions will be provided afterwards.

Additional home work - for those who want to practice more after the course; Homework will be reviewed and supplemented by constructive feedback.

Lifetime e-mail support - you can get answers on anything related to the course content as well as advice based on your company specific situation.

Module 1: introduction

• Architecture overview: master node, worker nodes, etcd, kubelet, controllers
• Anatomy of a pod: the main container, init containers, sidecars, labels, probes
• Basic commands and debugging tricks
• Practice: deploy an application as a Pod with the primary process, umplement initialization logic executed in init containers, add watchdog containers and probes

Module 2: deployments and services

• Anatomy of a deployment: types of deployments, replica set, replica count
• Introduction to Kubernetes networking
• Anatomy of a service: traffic routing, labels, port mapping
• Service types: node port, cluster IP, load balancer
• Anatomy of kubeproxy
• Introduction to service meshes
• Practice: configure application traffic routing, implement different service types, implement canary release procedure

Module 3: storage

• Persistent volumes: volumes types, volume resizing, volume snapshots
• Working with complex deployments: stateful sets
• Job and Cron-jobs
• Practice: configure stateful deployment for an HA database (PostgreSQL or MariaDB); configure an HA caching layer (Redis) for your application; implement a scheduled backup procedure for an HA database

Module 4: configuration management

• Configuration management: config maps, reloadable configurations
• Deployment time configuration injection with Kustomize
• Secrets management and integration with service discovery service (Consul and Vault)
• Introduction into Kubernetes admission webhooks and cluster events
• Practice: implement two environments (applications + data storage) running in different namespaces with different settings, implement automatic configuration propagation at run time using different mechanisms

Module 5: resource control and scheduling

• Resource management: resource requests and limits
• Anatomy of a node pool
• Taints and tolerations, scheduling internals
• Dive into built-in resource monitoring and metrics
• Auto-scaling policies and range limiters
• Practice: adjust resource limits for existing deployments; implement auto-limit and auto-scaling policies

Module 6: security

• Cluster security with RBAC, service accounts, cluster roles, namespace security
• Integrating with external security providers
• Pod security and network policies
• Practice: implement cross-environment security policies with the help of service accounts and external LDAP integration; limit network traffic between pods

Module 7: advanced operations

• Day-1 vs. Day-2 operations
• Introduction to Helm charts
• Introduction to Operator pattern
• Custom resource definitions
• Practice: implement operator from a given template with Bash or Python

Developers, Software Architects, Technical Project Managers, System Administrators.