Kubernetes Training in Plovdiv

This instructor-led, live training in Plovdiv (online or onsite) is aimed at advanced-level Kubernetes administrators and DevOps engineers who wish to enhance their monitoring skills for Kubernetes clusters using Prometheus and Grafana.

By the end of this training, participants will be able to:

• Set up Prometheus and Grafana for Kubernetes monitoring.
• Monitor key metrics for pods, nodes, and services.
• Create dynamic dashboards to visualize cluster health and performance.
• Implement alerting strategies for proactive issue resolution.
• Apply best practices for scaling monitoring solutions in Kubernetes environments.

This instructor-led, live training in Plovdiv (offered online or onsite) is designed for DevOps engineers and developers seeking to use Kubernetes to construct, deploy, and manage containers and cluster components in a secure and scalable environment.

By the end of this training, participants will be able to:

• Understand the architecture, core concepts, and components of a Kubernetes ecosystem.
• Set up, install, and configure a Kubernetes cluster for container orchestration.
• Learn how to execute Kubernetes operations using the command line tools.
• Get a hands-on experience from basic to advanced Kubernetes operations and administration.

In this instructor-led, live training in Plovdiv (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.

This instructor-led, live training in Plovdiv (online or onsite) is aimed at intermediate-level professionals who wish to effectively deploy, manage, and scale containerized applications using Kubernetes.

By the end of this training, participants will be able to:

• Understand the Kubernetes architecture and its components.
• Isolate resources effectively using Namespaces.
• Manage and customize workloads with Deployments, StatefulSets, and DaemonSets.
• Define computational resources using Requests and Limits.
• Work with Jobs and CronJobs for scheduled tasks.
• Understand Services and DNS within Kubernetes.
• Expose applications using Ingress.
• Manage ConfigMaps, Secrets, and Persistent Volumes.
• Scale and upgrade Kubernetes clusters using advanced strategies.
• Analyze and troubleshoot Kubernetes issues.
• Deploy resources efficiently using Helm Charts.

This instructor-led, live training in Plovdiv (online or onsite) is designed for advanced-level platform engineers and DevOps professionals who want to master the techniques for scaling applications using microservices and Kubernetes.

Upon completion of this training, participants will be capable of:

• Designing and implementing scalable microservices architectures.
• Deploying and managing applications on Kubernetes clusters.
• Utilizing Helm charts for efficient service deployment.
• Monitoring and maintaining the health of microservices in production.
• Applying best practices for security and compliance within a Kubernetes environment.

Gain a solid grasp of containers, Kubernetes, and OpenShift through practical, hands-on training tailored for developers, DevOps engineers, and IT professionals. Participants will learn to construct containerized applications, deploy workloads, manage Kubernetes resources, and leverage OpenShift to streamline modern application delivery in cloud and hybrid environments.

This instructor-led live training in Plovdiv (online or onsite) is aimed at beginner-level developers who wish to learn the basics of Kubefirst and how it simplifies, secures, and accelerates Kubernetes and Swarm cluster management at enterprise scale.

By the end of this training, participants will be able to:

• Set up a Kubefirst development environment.
• Write and run a basic Kubefirst program.
• Annotate code with Kubefirst directives and clauses.
• Use Kubefirst API and libraries.
• Profile and debug Kubefirst programs.

This instructor-led, live training in Plovdiv (online or on-site) is designed for intermediate-level developers and DevOps engineers who intend to utilize Minikube as part of their development workflow.

By the end of this training, participants will be able to:

• Set up and manage a local Kubernetes environment using Minikube.
• Understand how to deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines.
• Optimize their development process using Minikube's advanced features.
• Apply best practices for local Kubernetes development.

This instructor-led, live training in Plovdiv (online or onsite) is designed for beginner to intermediate software developers and DevOps professionals who want to learn how to set up and manage a local Kubernetes environment using Minikube.

By the end of this training, participants will be able to:

• Install and configure Minikube on their local machine.
• Understand the basic concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Set up persistent storage and networking solutions for Kubernetes.
• Utilize Minikube for developing, testing, and debugging applications.

Training Objectives: Acquire theoretical and practical skills in Docker and Kubernetes.

In this instructor-led live training in Plovdiv (onsite or remote), participants will learn to create and manage Docker containers and deploy a sample application within one. Attendees will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training progresses to more advanced topics, guiding participants through the process of securing, scaling, and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

• Set up and run a Docker container.
• Deploy a containerized server and web application.
• Build and manage Docker images.
• Set up a Docker and Kubernetes cluster.
• Use Kubernetes to deploy and manage a clustered web application.
• Secure, scale and monitor a Kubernetes cluster.

In this instructor-led live training at Plovdiv (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.Â

By the end of this training, participants will be able to:

• Configure and manage Kubernetes on AKS.
• Deploy, manage and scale a Kubernetes cluster.
• Deploy containerized (Docker) applications on Azure.
• Migrate an existing Kubernetes environment from on-premise to AKS cloud.
• Integrate Kubernetes with third-party continuous integration (CI) software.
• Ensure high availability and disaster recovery in Kubernetes.

Learn how to build, deploy, and administer containerized environments using 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 acquire the skills necessary to operate modern container platforms and troubleshoot applications across development and production environments.

This instructor-led, live training session in Plovdiv provides participants with an overview of Rancher and demonstrates through practical exercises how to deploy and manage a Kubernetes cluster using Rancher.

This instructor-led, live training in Plovdiv (online or onsite) is aimed at engineers who wish to use Helm to streamline the process of installing and managing Kubernetes applications.

By the end of this training, participants will be able to:

• Install and configure Helm.
• Create reproducible builds of Kubernetes applications.
• Share applications as Helm charts.
• Run third-party applications saved as Helm charts.
• Manage releases of Helm packages.

This instructor-led, live training in Plovdiv (online or onsite) is aimed at DevOps engineers who wish to use Kubernetes and Gitlab to automate the DevOps lifecycle.

By the end of this training, participants will be able to:

• Automate application builds, tests, and deployments.
• Create an automated build infrastructure.
• Deploy an application to a containerized cloud environment.

This instructor-led, live training in Plovdiv, offered online or onsite, is designed for Kubernetes practitioners aiming to prepare for the CKS exam.

By the end of this course, participants will understand how to secure Kubernetes environments and container-based applications throughout the various stages of an application's life cycle: build, deployment, and runtime.

This instructor-led live training (online or onsite) is tailored for developers and DevOps engineers who aim to leverage serverless approaches for building enterprise applications in Kubernetes.

By the end of this course, participants will be able to:

• Set up and configure the Kubernetes system to begin developing with a serverless architecture.
• Comprehend the foundational concepts and principles of serverless environments.
• Operate the necessary toolchains for serverless development and integrate them with Kubernetes components.
• Practice Python programming skills and apply them to implement serverless systems.
• Secure enterprise applications deployed through a serverless framework on Kubernetes.
• Utilize modern cloud computing methods to optimize DevOps task processing workflows.

This instructor-led live training, held in Plovdiv (online or onsite), is designed for engineers looking to harden their Kubernetes cluster beyond the standard default security configurations.

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

• Recognize vulnerabilities exposed by a default Kubernetes setup.
• Prevent unauthenticated access to the Kubernetes API, database, and other services.
• Protect the Kubernetes cluster from accidental or malicious entry.
• Formulate a comprehensive security policy and adhere to best practices.

Upon completion of this training, participants will be able to:

• Create custom Docker images.
• Deploy and manage a large volume of Docker applications.
• Evaluate various container orchestration solutions and select the most appropriate one.
• Establish a continuous integration process for Docker applications.
• Integrate Docker applications with existing CI tooling workflows.
• Implement security measures for Docker applications.
• Utilize Kubernetes to deploy and manage multiple environments within a single cluster.
• Secure, scale, and monitor a Kubernetes cluster.

This intensive 7-day program offers a deep, practical exploration of designing, deploying, and managing cloud-native applications through contemporary DevOps methodologies.

Attendees will learn to architect scalable microservice ecosystems, refine container performance, and oversee production-grade workloads within Kubernetes. The curriculum addresses sophisticated deployment tactics, GitOps-driven automation, and observability frameworks to guarantee robust system reliability and efficiency.

A significant emphasis is placed on tackling real-world operational hurdles, such as incident handling, failure simulation, and root cause identification. The program culminates with the integration of AI-driven tools to enhance troubleshooting capabilities and expedite operational decision-making.

Upon completion, participants will possess a thorough understanding of how to construct, deploy, monitor, and sustain resilient distributed systems within a Kubernetes infrastructure.

This instructor-led, live training in Plovdiv (online or onsite) is aimed at intermediate to advanced DevOps engineers and system administrators who wish to deploy and manage self-hosted Kubernetes clusters without cloud dependencies.

By the end of this training, participants will be able to: deploy production-ready Kubernetes clusters using kubeadm on bare-metal or virtual machines; configure high-availability control planes and etcd clusters; implement container networking and storage for self-managed environments; set up monitoring and observability using self-hosted solutions.