Kubernetes from Basic to Advanced Training Course

Upon completing this training, participants will be equipped to:

• Create custom Docker images.
• Deploy and manage extensive portfolios of Docker applications.
• Assess various container orchestration solutions to select the most appropriate one.
• Establish continuous integration workflows for Docker applications.
• Integrate Docker applications into existing continuous integration toolchains.
• Implement security measures for Docker applications.
• Leverage Kubernetes to deploy and manage diverse environments within a single cluster.
• Secure, scale, and monitor Kubernetes clusters.

This instructor-led live training in Germany (available online or onsite) targets advanced-level platform engineers and DevOps professionals aiming to master application scaling through microservices and Kubernetes.

Upon completion, participants will be equipped to:

• Architect and implement scalable microservices structures.
• Deploy and oversee applications within Kubernetes clusters.
• Leverage Helm charts for streamlined service deployment.
• Monitor and sustain the operational health of microservices in production environments.
• Implement security and compliance best practices within a Kubernetes ecosystem.

This live, instructor-led course in Germany (online or on-site) is tailored for Kubernetes professionals aiming to prepare for the CKS exam.

By the end of this training, participants will understand how to secure Kubernetes environments and container-based applications throughout various stages of the application lifecycle: build, deployment, and runtime.

This intensive 7-day program offers an in-depth, practical exploration of cloud-native application lifecycle management, leveraging contemporary DevOps methodologies.

Trainees will delve into constructing scalable microservice architectures, refining container ecosystems, and overseeing production workloads within Kubernetes. The curriculum addresses sophisticated release mechanisms, GitOps-driven automation, and observability standards to guarantee system stability and high performance.

Considerable emphasis is placed on resolving practical operational hurdles, such as incident management, chaos engineering, and diagnostic root cause identification. The program culminates in leveraging AI-driven utilities to enhance troubleshooting processes and expedite operational decision-making.

Upon completion, participants will possess a robust comprehension of constructing, releasing, monitoring, and sustaining resilient distributed systems within a Kubernetes-centric landscape.

Develop a solid grasp of containers, Kubernetes, and OpenShift through this practical, hands-on course tailored for developers, DevOps engineers, and IT professionals. You will master the creation of containerized applications, the deployment of workloads, and the management of Kubernetes resources, while leveraging OpenShift to enhance application delivery in both cloud and hybrid settings.

Master the skills to build, deploy, and administer containerized environments utilizing Docker, Kubernetes, and OpenShift. This five-day, hands-on training covers container images, Kubernetes workloads, cluster networking, storage, security, monitoring, and practical OpenShift administration. Participants will acquire the competencies required to operate modern container platforms and troubleshoot applications across both development and production landscapes.

In this instructor-led, live training held Germany (onsite or remote), participants will master the creation and management of Docker containers, followed by the deployment of a sample application within a container. The training also covers the automation, scaling, and management of containerized applications within a Kubernetes cluster. Finally, the course addresses advanced topics, guiding participants through the essential processes of securing, scaling, and monitoring a Kubernetes cluster.

By the end of this training, participants will be capable of:

• Setting up and running a Docker container.
• Deploying containerized server and web applications.
• Building and managing Docker images.
• Establishing a Docker and Kubernetes cluster.
• Utilizing Kubernetes to deploy and manage a clustered web application.
• Securing, scaling, and monitoring a Kubernetes cluster.

Training Objectives: Acquire theoretical and operational competencies in Docker and Kubernetes.

This live, instructor-led training, delivered Germany (either online or on-site), empowers engineers to leverage Helm for more efficient installation and management of Kubernetes applications.

By the conclusion of the session, participants will be equipped to:

• Install and configure Helm.
• Generate reproducible builds for Kubernetes applications.
• Share applications through Helm charts.
• Run third-party applications stored as Helm charts.
• Manage the release cycles of Helm packages.

This instructor-led, live training in Germany (online or onsite) targets software developers and DevOps professionals from beginner to intermediate levels. It focuses on setting up and managing a local Kubernetes environment using Minikube.

By the end of the session, participants will be able to:

• Install and configure Minikube on their local machines.
• Comprehend the basic concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Establish persistent storage and networking solutions for Kubernetes.
• Use Minikube for developing, testing, and debugging applications.

This live, instructor-led session in Germany (online or on-site) is tailored for intermediate developers and DevOps professionals aiming to incorporate Minikube into their development routines.

By the end of the program, attendees will be capable of:

• Building and maintaining a local Kubernetes cluster with Minikube.
• Deploying, administering, and troubleshooting applications on Minikube.
• Embedding Minikube into CI/CD workflows.
• Streamlining development processes through Minikube's sophisticated features.
• Adhering to best practices for local Kubernetes environments.