14 hours (usually 2 days including breaks)
- Experience with Docker containers
- Familiarity with the Linux command line
- An understanding of networking concepts
- Software Developers
- Deployment engineers
Docker is an open-source platform for building, shipping and running applications inside containers. Kubernetes goes one step further by providing the tools needed to deploy and manage containerized applications at scale in a clustered environment.
In this instructor-led, live training (onsite or remote), participants will learn how to deploy a collection of sample servers inside containers, then automate, scale, and manage their containerized servers within a Kubernetes cluster. The training goes on to more advanced topics, walking participants through the process of securing, networking and monitoring a Kubernetes cluster.
By the end of this training, participants will be able to:
- Set up and run a Docker container.
- Deploy containerized databases and servers.
- Set up a Docker and Kubernetes cluster.
- Use Kubernetes to deploy and manage different environments under the same cluster.
- Secure, scale and monitor a Kubernetes cluster.
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice.
- Different Docker images can be used as demos in this training (e.g., Nginx, MongoDB, Tomcat, etc.).
- To request specific images or any other customization for this training, please contact us to arrange.
Overview of container orchestration with Kubernetes
Overview of Kubernetes architecture
- Pods, labels/selectors, replication controllers, services, API
Installing a Kubernetes cluster
Pulling a Docker image from the internet
Creating Kubernetes pods, volumes and deployments
Grouping and organizing your cluster
Using Kubernetes Namespaces to manage different environments
- Managing test, staging, and production environments within the same cluster
- Kubernetes Namespaces best practices
Discovering and connecting to containers
Discovering and publishing services
- Non-HTTP services (Passive FTP, SMTP, LDAP, etc.)
- Authentication & authorization
Upgrading a Kubernetes cluster
- Minimizing the impact
- Docker networking vs Kubernetes networking
Interfacing between network providers and Kubernetes networking
- Best practices for separating services in a cluster
- Comparison of different CNI providers (performance, features, etc.)
- Cluster logging with Elasticsearch and fluentd
- Container level monitoring (cAdvisor UI, Influxdb, Prometheus)
Best Practices for running containerized servers and data stores
Scaling your Kubernetes cluster
Infrastructure for Kubernetes
- Provisioning, partitioning, networking
Building a high-availability cluster
- Load balancing and service discovery
Deploying a scalable application
- Horizontal pod autoscaling
- Database clustering in Kubernetes
Updating your application
- Releases in Kubernetes
- Diagnosing and fixing common Kubernetes issues
Summary and Conclusion
The interactive way the trainer explains theory
Janine - Palesa Rametse, BMW SA
The depth and understanding of the subject by the totor
Palesa Rametse, BMW SA
I did love how we each have our own VM with everything installed. It saved so much time and it was great to do thing by doing. I appreciated the check in and opportunity for questions
Stephanie Higgins, SciTec
Covered many topics and allowed us to customize training
Stephanie Higgins, SciTec
the hands on after the topic discussion, it will let us learn how to do it on our own, not just the concept
Joy Apuya - Cristina Reclamado, Remote Staff
That I got a couple of "aha" moments from learning something new.
Charles Shavitz - F5 Networks Pte Ltd.
Well structured content, well prepared and understandable exercises. Really liked it.
Melanie Pillkahn - Mercedez-Benz Portugal S.A
Insights about the infra of the kubernetes
Miguel Teixeira - Mercedez-Benz Portugal S.A
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