Kubernetes Training in Bangkok

This live, instructor-led training, available Bangkok (online or onsite), is tailored for advanced Kubernetes administrators and DevOps engineers aiming to upgrade their monitoring proficiency with Prometheus and Grafana.

Once concluded, participants will possess the ability to:

• Configure Prometheus and Grafana for Kubernetes observability.
• Track vital metrics for pods, nodes, and services.
• Build dynamic dashboards to display cluster health and performance.
• Execute alerting strategies to resolve issues proactively.
• Utilize best practices for scaling monitoring systems in Kubernetes environments.

This live, instructor-led training in Bangkok (offered online or onsite) is tailored for DevOps engineers and developers aiming to utilize Kubernetes for building, deploying, and managing containers and cluster components in a secure, scalable setting.

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

• Comprehend the architecture, core concepts, and constituent parts of the Kubernetes ecosystem.
• Set up, install, and configure Kubernetes clusters for effective container orchestration.
• Learn to perform Kubernetes operations efficiently using command-line utilities.
• Acquire hands-on proficiency spanning basic to advanced Kubernetes administration and operations.

In this instructor-led, live training held in Bangkok (onsite or remote), participants will learn to deploy a set of sample servers within containers. They will then master the automation, scaling, and management of these containerized servers inside a Kubernetes cluster. The course progresses to advanced topics, leading participants through the steps of securing, networking, and monitoring a Kubernetes cluster.

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

• Setting up and running a Docker container.
• Deploying containerized databases and servers.
• Establishing a Docker and Kubernetes cluster.
• Utilizing Kubernetes to deploy and manage various environments under a unified cluster.
• Securing, scaling, and monitoring a Kubernetes cluster.

This professional-led, live training in Bangkok (online or onsite) is designed for intermediate-level specialists aiming to proficiently deploy, administer, and scale containerized applications via Kubernetes.

Upon completion of this program, participants will be equipped to:

• Comprehend the Kubernetes architecture and its underlying components.
• Effectively segregate resources utilizing Namespaces.
• Orchestrate and customize workloads through Deployments, StatefulSets, and DaemonSets.
• Specify computational resources via Requests and Limits.
• Utilize Jobs and CronJobs to execute scheduled tasks.
• Grasp the function of Services and DNS within the Kubernetes ecosystem.
• Expose applications externally using Ingress.
• Administer ConfigMaps, Secrets, and Persistent Volumes.
• Implement advanced strategies to scale and upgrade Kubernetes clusters.
• Diagnose and resolve complex Kubernetes issues.
• Deploy resources with enhanced efficiency using Helm Charts.

This live, instructor-led training in Bangkok (delivered online or on-site) is tailored for advanced platform engineers and DevOps professionals seeking to master application scaling via microservices and Kubernetes.

By the conclusion of the program, participants will have the capability to:

• Design and implement scalable microservices architectures.
• Deploy and manage applications across Kubernetes clusters.
• Utilize Helm charts for streamlined service deployment.
• Monitor and maintain the operational health of production microservices.
• Apply security and compliance best practices within a Kubernetes environment.

Master the essentials of containers, Kubernetes, and OpenShift through a practical, hands-on training program tailored for developers, DevOps engineers, and IT specialists. This course equips participants with the skills to create containerized applications, deploy workloads, manage Kubernetes resources, and utilize OpenShift to enhance application delivery within both cloud and hybrid infrastructure settings.

This instructor-led, live training in Bangkok, offered online or onsite, targets beginner-level developers aiming 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 session, conducted in Bangkok (online or on-site), is designed for intermediate-level developers and DevOps engineers aiming to integrate Minikube into their development processes.

By the conclusion of this training, attendees will have the capability to:

• Configure and administer a local Kubernetes environment via Minikube.
• Comprehend the deployment, management, and debugging of applications on Minikube.
• Incorporate Minikube into their continuous integration and deployment workflows.
• Streamline development operations by utilizing Minikube's advanced features.
• Adopt best practices for local Kubernetes development.

This instructor-led, live training delivered in Bangkok (either online or on-site) caters to beginner to intermediate-level software developers and DevOps professionals seeking to learn how to establish and manage local Kubernetes environments using Minikube.

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

• Install and configure Minikube on their local systems.
• Comprehend the basic principles and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube interface.
• Implement persistent storage and networking solutions for Kubernetes.
• Apply Minikube for the development, testing, and debugging of applications.

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

In this instructor-led live training in Bangkok, available onsite or remotely, participants will learn to create and manage Docker containers and deploy a sample application. The session also covers automating, scaling, and managing containerized applications within a Kubernetes cluster. Finally, the training delves into advanced topics, guiding participants through securing, scaling, and monitoring a Kubernetes cluster.

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

• Configure and execute a Docker container.
• Deploy containerized server and web applications.
• Construct and administer Docker images.
• Establish a Docker and Kubernetes cluster.
• Leverage Kubernetes to deploy and manage clustered web applications.
• Implement security, scaling, and monitoring strategies for a Kubernetes cluster.

Through this instructor-led live training in Bangkok (offered online or on-site), participants will master the setup and management of a production-scale container environment using Kubernetes on AKS.

By the conclusion of this course, learners will be capable of:

• Configuring and managing Kubernetes on AKS.
• Deploying, managing, and scaling Kubernetes clusters.
• Deploying Docker-based containerized applications on Azure.
• Migrating legacy on-premise Kubernetes environments to the AKS cloud.
• Integrating Kubernetes with external continuous integration (CI) tools.
• Ensuring high availability and disaster recovery capabilities within Kubernetes.

Gain expertise in building, deploying, and administering containerized environments using Docker, Kubernetes, and OpenShift. This five-day, hands-on course covers container images, Kubernetes workloads, cluster networking, storage, security, monitoring, and practical OpenShift administration. Participants will develop the skills necessary to operate modern container platforms and troubleshoot applications across development and production environments.

This instructor-led, live course in Bangkok introduces participants to Rancher and provides practical, hands-on guidance on deploying and managing Kubernetes clusters.

This live, instructor-led session held in Bangkok (online or onsite) is tailored for engineers seeking to utilize Helm to enhance the efficiency of installing and managing Kubernetes applications.

Following this training, attendees will possess the skills to:

• Perform the installation and configuration of Helm.
• Generate reproducible builds for Kubernetes applications.
• Distribute applications in the form of Helm charts.
• Deploy third-party solutions packaged as Helm charts.
• Handle the release lifecycle of Helm packages.

This live, instructor-led training, offered either online or onsite, is designed for DevOps engineers looking to utilize Kubernetes and Gitlab to automate their DevOps lifecycle.

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

• Automate application builds, testing, and deployment workflows.
• Build an automated infrastructure for builds.
• Deploy applications into containerized cloud environments.

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

By the end of the session, participants will have gained the knowledge 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 in Bangkok (online or onsite) is tailored for developers and DevOps engineers aiming to employ serverless approaches for constructing enterprise applications within Kubernetes.

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

• Setup and configure the Kubernetes system to start developing with a serverless architecture.
• Understand the concepts and principles foundational to serverless environments.
• Operate toolchains necessary to serverless development and integrate it with Kubernetes components.
• Practice their skill in Python programming language and apply it to implement serverless systems.
• Secure enterprise applications that are deployed through a serverless framework on Kubernetes.
• Utilize modern cloud computing methods in optimizing DevOps task processing workflows.

This instructor-led, live training in Bangkok (online or onsite) targets engineers looking to enhance the security of their Kubernetes clusters beyond default settings.

By the end of the program, participants will be equipped to:

• Recognize vulnerabilities present in standard Kubernetes installations.
• Prevent unauthorized access to the Kubernetes API, databases, and related services.
• Defend the Kubernetes cluster from accidental or malicious breaches.
• Formulate a robust security policy and best-practice framework.

Over the course of seven days, this intensive programme offers an immersive, hands-on experience in the design, deployment, and operation of cloud-native applications through contemporary DevOps methodologies.

Attendees will delve into the creation of scalable microservices architectures, the optimisation of container environments, and the management of production workloads within Kubernetes. The curriculum addresses advanced deployment tactics, GitOps-driven automation, and observability standards to guarantee system stability and high performance.

Significant emphasis is placed on addressing real-world operational complexities, such as incident response, failure simulation, and root cause analysis. The programme culminates with the application of AI-driven tools to facilitate troubleshooting and enhance the speed of operational decision-making.

Upon completion, participants will possess a thorough understanding of constructing, deploying, monitoring, and sustaining resilient distributed systems within a Kubernetes-based infrastructure.

This live, instructor-led training in Bangkok (delivered online or onsite) caters to intermediate and advanced DevOps engineers and system administrators aiming to deploy and oversee self-hosted Kubernetes clusters free from cloud vendor dependencies.

By the end of the program, learners will be able to: build production-ready Kubernetes clusters on bare-metal or VMs using kubeadm; configure high-availability control planes and etcd clusters; implement container networking and storage for self-managed setups; and establish monitoring and observability using self-hosted tools.