Course Outline
Introduction
Setting up the Kubernetes Cluster
Infrastructure for Kubernetes
- Provisioning, partitioning, networking
- Considerations for scaling a Kubernetes Cluster
Building in High-Availability
- Load Balancing and Service Discovery
Deploying a Scalable Application
- Horizontal Pod Autoscaling
- Database clustering in Kubernetes
Securing the Application
- Authentication
- Authorization
Updating the Application
- Package Management
- Releases in Kubernetes
Maintainance
- Logging with Fluentd (optional)
- Monitoring with Elastic Stack (ELK) (optional)
- Scheduling with Cronjob
Troubleshooting
- Diagnosing and fixing common Kubernetes issues
Summary and Conclusion
Requirements
- Experience with Docker containers
- Familiarity with the Linux command line
- An understanding of networking concepts
Audience
- Software developers
- Architects
- Deployment engineers
Testimonials (7)
I had no prior knowledge of Kubernetes before the training, and I really appreciated how clearly everything was explained. I also received a lot of help and support from Konrad, which made the learning process much easier.
Tatiana Slonimskaia - Akamai
Course - Kubernetes Advanced
pod affinity topic
Pola Lacz-Janecka - Akamai
Course - Kubernetes Advanced
All the exercises are related to each other and finally build one complex application.
Marek - Akamai
Course - Kubernetes Advanced
The examples what we did covered a lot of topics and were really interested. I learned a lot of thinks and I enjoyed listening the trainer, I could feel his really wide knowledge about k8s. Some comparisons with real life work examples were really interesting
Konrad - Akamai
Course - Kubernetes Advanced
Keeping all at the same page
Tomasz - Akamai
Course - Kubernetes Advanced
Experiments and a lot of hands-on
Ivan Karenko - Akamai
Course - Kubernetes Advanced
Excercises and lecture after this. We could better focus on details.