Kubernetes Training in Sharjah

Edge AI represents a strategic approach that executes machine learning inference near the source of data generation, enabling low-latency, efficient, and scalable processing capabilities.

This instructor-led, live training programme, available either online or on-site, is designed for intermediate to advanced practitioners seeking to deploy, orchestrate, and optimise AI workloads within Kubernetes-based edge environments.

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

• Configure lightweight Kubernetes distributions tailored for edge deployments.
• Effectively deploy AI inference workloads across resource-constrained edge nodes.
• Address connectivity challenges and implement robust synchronisation patterns.
• Optimise performance, storage, and networking to meet the demands of real-world edge scenarios.

Course Format

• Guided presentations reinforced with real-world case studies.
• Scenario-based laboratories and practical exercises focused on edge deployment.
• Hands-on experience working with Kubernetes edge frameworks.

Course Customisation Options

• To arrange a customised training session tailored to your specific edge platform requirements, please contact us.

Kubernetes is a widely used container orchestration platform that efficiently manages distributed applications at scale.

This instructor-led, live training (available online or onsite) is designed for advanced practitioners who want to leverage AI and machine learning techniques to optimize resource usage, scheduling decisions, and autoscaling strategies in Kubernetes.

Upon completing this program, participants will be able to:

• Utilize AI/ML models to enhance workload scheduling decisions within Kubernetes.
• Employ predictive analytics to optimize CPU, GPU, and memory allocation.
• Implement intelligent autoscaling using reinforcement learning and metric forecasting.
• Minimize infrastructure costs and latency through automated resource optimization.

Format of the Course

• Instructor-guided technical presentations and in-depth discussions.
• Hands-on lab work using real Kubernetes clusters.
• Practical exercises applying AI models to real-world operational scenarios.

Course Customization Options

• To customize this course according to your platform setup or specific operational needs, please contact us for personalized options.

MLOps on Kubernetes offers a robust framework for automating the training, validation, packaging, and deployment of machine learning models through containerised pipelines and GitOps workflows.

This instructor-led, live training (available online or on-site) is designed for intermediate-level practitioners seeking to build automated, scalable MLOps pipelines on Kubernetes.

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

• Design end-to-end CI/CD pipelines for machine learning.
• Implement GitOps workflows for model deployment and versioning.
• Automate the training, testing, and packaging of ML models.
• Integrate monitoring, alerting, and rollback strategies.

Course Format

• Instructor-led presentations complemented by technical deep dives.
• Practical exercises focused on building real-world CI/CD workflows.
• Live-lab sessions for deploying ML workloads to Kubernetes.

Customisation Options

• Organisations may request tailored content aligned with their internal MLOps tools and infrastructure.

Kubeflow is an open-source platform engineered to simplify the development, training, and deployment of machine learning workloads within Kubernetes environments.

This instructor-led, live training session (available either online or on-site) is tailored for professionals at the beginner to intermediate levels who aim to construct dependable ML workflows using Kubeflow.

By the end of this training, participants will have acquired the capabilities to:

• Effectively navigate the Kubeflow ecosystem and its core components.
• Develop reproducible workflows leveraging Kubeflow Pipelines.
• Execute scalable training jobs across Kubernetes clusters.
• Deploy and serve machine learning models efficiently with Kubeflow Serving.

Course Format

• Interactive presentations paired with collaborative discussions.
• Hands-on laboratory sessions featuring real-world Kubeflow components.
• Practical exercises designed to build end-to-end ML workflows.

Customization Options

• Tailored versions of this training can be arranged to align precisely with your team's technology stack and specific project requirements.

Kubernetes is a scalable platform designed for deploying, serving, and managing machine learning models in production environments.

This instructor-led, live training (available both online and on-site) is targeted at intermediate-level professionals who aim to operationalize ML models reliably using Kubernetes.

Upon completing this training, participants will gain the skills to:

• Containerize and prepare ML models for efficient deployment.
• Serve models using modern inference frameworks.
• Optimize workloads with autoscaling, GPU configuration, and resource tuning.
• Implement model rollout strategies such as A/B testing and canary deployments.

Format of the Course

• A blend of lectures, architectural analysis, and guided discussions.
• Extensive practical exercises with real-world deployment scenarios.
• Hands-on implementation using a live Kubernetes environment.

Course Customization Options

• If you need this course tailored to your specific environment or toolchain, please contact us to discuss customization options.

This instructor-led, live training in Sharjah (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.

Kubernetes is an open-source platform designed to automate the deployment, scaling, and management of containerized applications.

This instructor-led, live training—available either online or on-site—is tailored for IT professionals at the beginner to intermediate levels who wish to grasp the core concepts and components of Kubernetes and apply them to manage containerized applications at scale.

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

• Comprehend the architecture and key components of Kubernetes.
• Deploy and manage containers within a Kubernetes cluster.
• Configure networking, storage, and scaling settings for various workloads.
• Resolve common issues and adhere to best practices for effective cluster operations.

Format of the Course

• Interactive lectures and group discussions.
• Extensive exercises and practical practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request a customized training session for this course, please contact us to make the necessary arrangements.

This instructor-led, live training in Sharjah (online or onsite) is aimed at DevOps engineers and developers who wish to use Kubernetes to build, 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 Sharjah (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 Sharjah (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 Sharjah (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications using microservices and Kubernetes.

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

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

DO180 serves as an introductory course to containers, core Kubernetes fundamentals, and the Red Hat OpenShift platform, with a strong emphasis on developing practical, hands-on skills.

This instructor-led, live training programme (available either online or on-site) is designed for technical professionals ranging from beginner to intermediate levels who aim to master container workflows, understand Kubernetes primitives, and effectively deploy and operate applications on OpenShift.

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

• Construct and manage container images and registries, adhering to best practices that ensure reproducibility and robust security.
• Deploy and administer key Kubernetes objects—including pods, deployments, and services—within the OpenShift environment.
• Utilise essential OpenShift features such as routes, buildconfigs, and the web console to streamline application delivery pipelines.
• Implement persistent storage solutions, configuration management, and secure secrets handling to support stateful workloads.
• Apply foundational security measures, Role-Based Access Control (RBAC), and monitoring practices to maintain the health and stability of clusters and applications.

Course Format

• Interactive lectures followed by engaging discussions.
• Daily hands-on laboratory sessions conducted within a live OpenShift environment.
• Scenario-based exercises and dedicated troubleshooting workshops.

Course Customisation Options

• To request a customised training programme tailored to your specific needs, please contact us to make the necessary arrangements.

This instructor-led, live training in Sharjah (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 Sharjah (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to use Minikube as a 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 Sharjah (online or onsite) is aimed at beginner to intermediate-level developers, system administrators, and DevOps engineers who wish to understand Kubernetes and cloud-native principles.

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

• Set up a development environment that includes Kubernetes.
• Create a microservices application using Kubernetes.
• Deploy, manage, and scale applications in Kubernetes.
• Debug common issues in Kubernetes environments.

This instructor-led, live training in Sharjah (online or onsite) is aimed at beginner-level to intermediate-level software developers and DevOps professionals who wish 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 operational skills in Docker and Kubernetes.

In this instructor-led, live training in Sharjah (onsite or remote), participants will learn how to create and manage Docker containers, then deploy a sample application inside a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training goes on to more advanced topics, walking 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.

The Certified Kubernetes Administrator (CKA) program was developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).

Kubernetes is currently a leading platform for container orchestration.

NobleProg has been providing Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognized training providers globally in the field of containerization.

Since 2019, we have also assisted our clients in validating their proficiency in k8s environments by preparing them and motivating them to pass the CKA and CKAD exams.

This instructor-led live training (online or on-site) is designed for System Administrators and Kubernetes users who wish to validate their knowledge through the CKA exam.

Additionally, the course focuses on gaining practical experience in Kubernetes Administration. Therefore, we recommend participating even if you do not plan to take the CKA exam.

Course Format

• Interactive lectures and discussions.
• A multitude of exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Customization Options for the Course

• To request a customized training, please contact us to arrange it.
• To learn more about CKA certification, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

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

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.

This hands-on course aims to equip participants with the essential tools needed to handle the practical aspects of Docker and Kubernetes, ensuring they acquire the requisite skills for effective program management.

In this instructor-led, live training in Sharjah, participants will learn how to manage Red Hat OpenShift Container Platform.

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

• Create, configure, manage, and troubleshoot OpenShift clusters.
• Deploy containerized applications on-premise, in public cloud or on a hosted cloud.
• Secure OpenShift Container Platform
• Monitor and gather metrics.
• Manage storage.

In this instructor-led, live training in Sharjah, participants will learn how to use OpenShift Container Platform to deploy containerized applications.

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

• Create and configure an OpenShift setup.
• Quickly deploy applications on-premise, in public cloud or on a hosted cloud.

This instructor-led, live training session (conducted online or at your premises) is designed for engineers who aim to automate, secure, and monitor containerized applications within a large-scale Kubernetes cluster.

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

• Utilize Kubernetes to deploy and manage various environments within the same cluster
• Implement security measures, scaling, and monitoring for a Kubernetes cluster

Course Format

• Engaging lectures combined with discussions
• A multitude of exercises and practice sessions
• Practical implementation in a live-lab setting

Customization Options for the Course

• To arrange a customized training session, please contact us.

The Certified Kubernetes Application Developer (CKAD) program has been created by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which oversees Kubernetes.

This instructor-led training session, whether online or in person, is designed for Developers looking to validate their abilities in designing, building, configuring, and deploying cloud-native applications on Kubernetes.

Moreover, the training emphasizes practical experience in developing Kubernetes applications. Therefore, we recommend participating even if you do not plan to take the CKAD exam.

NobleProg has been providing Docker & Kubernetes training since 2015. With over 360 successfully completed projects, we have become one of the leading training providers globally in containerization. Since 2019, we have also assisted our clients in demonstrating their proficiency in k8s environments by preparing them for and encouraging them to pass CKA and CKAD exams.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab setting.

Customization Options for the Course

• To request customized training, please contact us to arrange it.
• For more information on CKAD, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

This instructor-led, live course in Sharjah provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Kubernetes cluster with Rancher.

Istio is an open-source service mesh designed to connect, monitor, and secure microservices.

This instructor-led training session (held either online or at your location) targets engineers looking to connect, secure, and manage cloud-based applications (microservices) using a service mesh based on Istio.

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

• Install and configure Istio on Kubernetes.
• Grasp the concept of service meshes and implement one using Istio.
• Deploy an Istio-based service mesh over Kubernetes.
• Leverage a service mesh to operate, manage, and monitor microservices in the cloud.

Course Format

• Interactive lectures combined with discussions.
• A multitude of exercises and practical activities.
• Hands-on implementation within a live-lab environment.

Customization Options for the Course

• To request a customized training session, please contact us to arrange further details.
• For more information on Istio, visit: https://istio.io/

EKS is AWS's self-managed Kubernetes-as-a-service solution. It offers full scalability and customization, enabling Kubernetes deployments that can mirror or integrate with existing on-premise setups.

This instructor-led live training will guide participants through setting up and managing a container environment at production scale using Kubernetes on EKS.

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

• Set up and manage Kubernetes on EKS
• Migrate an existing on-premise Kubernetes setup to AWS cloud
• Integrate Kubernetes with third-party continuous integration (CI) tools
• Ensure high availability and disaster recovery in a Kubernetes environment
• Leverage the available tools for efficient EKS management

Audience

• Developers
• System Administrators
• DevOps Engineers

Course Format

• The course includes lectures, discussions, exercises, and extensive hands-on practice in a live-lab setting.

Note

• To arrange for a customized training session, please contact us to make the necessary arrangements.

The advancement of microservices and containers over the past few years has profoundly transformed our approach to designing, developing, deploying, and managing software. Contemporary applications need to be tailored for scalability, flexibility, resilience, and adaptability. In response to these evolving needs, modern architectural designs necessitate a distinct set of strategies and methodologies. This training delves into methods for recognizing, comprehending, and adapting to these new demands.

Audience
This course is aimed at individuals who have some knowledge of container technology and Kubernetes principles but may lack practical experience. It draws on real-world scenarios and insights from actual projects with the goal of motivating participants to build and oversee superior cloud-native applications.

• Developers
• Operations Specialists
• DevOps Engineers
• QA Engineers
• IT Project Managers

Course Format

• Interactive lectures and discussions
• Numerous exercises and practical sessions
• Hands-on implementation in a live-lab setting

Customization Options for the Course

• To request tailored training for this course, please contact us to make arrangements.

This instructor-led, live training in Sharjah (online or onsite) is aimed at engineers who wish to evaluate, select and deploy the most appropriate Kubernetes solution for their specific situation.

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

• Install and configure a Kubernetes cluster on premise and in the cloud.
• Evaluate different cloud-hosted Kubernetes solutions and understand the advantages over an self-hosted approach.
• Compare different tools for testing, managing, and monitoring a Kubernetes cluster.

This instructor-led, live training in Sharjah (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 Sharjah (online or onsite) is aimed at system administrators and developers who wish to use Prometheus to monitor Kubernetes clusters.

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

• Install and configure Prometheus.
• Monitor dynamic cloud environments.
• Gain better insight into their Kubernetes clusters.
• Set up alerts that are precise and insightful.

This instructor-led, live training in Sharjah (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 Sharjah (online or onsite) is aimed at engineers who wish to optimize networking for Kubernetes clusters.

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

• Install and configure Calico.
• Understand how Calico differs from traditional overlay networks.
• Understand how Calico combines internet routing protocols with consensus-based data stores.
• Use Calico to create a container networking solution for Kubernetes clusters.
• Use Calico to provide network policy for Kubernetes.

In this instructor-led, live training in Sharjah, participants will learn how to set up and manage a production-scale container environment using Kubernetes on Google Cloud. 

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

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

In this instructor-led, live training in Sharjah (onsite or remote), participants will learn how to how to install, configure, and manage OKD on-premise or in the cloud.

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

• Create, configure, manage, and troubleshoot an OKD cluster.
• Secure OKD.
• Deploy containerized applications on OKD.
• Monitor the performance of an application running in OKD.
• Manage data storage.
• Quickly deploy applications on-premise or on a public cloud such as AWS.

This instructor-led, live training in Sharjah (online or onsite) is aimed at Kubernetes practitioners who wish to prepare for the CKS exam.

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

This instructor-led, live training in Sharjah (online or onsite) is aimed at developers and DevOps engineers who wish to utilize a serverless approach for building enterprise applications in 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 Sharjah (online or onsite) is aimed at engineers who wish to secure a Kubernetes cluster beyond the default security settings.

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

• Understand the vulnerabilities that are exposed by a default Kubernetes installation.
• Prevent unauthenticated access to the Kubernetes API, database, and other services.
• Protect a Kubernetes cluster from accidental or malicious access.
• Put together a comprehensive security policy and set of best practices.

This instructor-led, live training in (online or onsite) is aimed at engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organization.

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

• Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
• Set up, configure and deploy a series of demo containers using a number of different approaches.
• Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
• Automate the deployment of Docker containers.
• Set up a continuous integration and deployment pipeline.
• Integrate Docker and Kubernetes into an existing continuous integration system.

This 7-day programme provides a comprehensive, hands-on journey into designing, deploying, and operating cloud-native applications using modern DevOps practices.

Participants will explore how to design scalable microservices architectures, optimise container environments, and manage production workloads using Kubernetes. The course covers advanced deployment strategies, GitOps-based automation, and observability practices to ensure system reliability and performance.

A strong focus is placed on real-world operational challenges, including incident response, failure simulation, and root cause analysis. The programme concludes with the use of AI-powered tools to support troubleshooting and accelerate operational decision-making.

By the end of the training, participants will have a clear understanding of how to build, deploy, monitor, and maintain resilient distributed systems in a Kubernetes-based environment.

This instructor-led, live training in Sharjah (online or onsite) is aimed at DevOps engineers and developers who wish to use Fedora CoreOS to reduce the maintenance and upgrade costs of running  containerized applications on Kubernetes.

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

• Install and configure Fedora CoreOS.
• Set up Kubernetes cluster on Fedora CoreOS.
• Run and manage Kubernetes deployments on Fedora CoreOS.
• Automatically update Fedora OS with the latest OS improvements, bug fixes, and security updates.

This instructor-led, live training in Sharjah (online or onsite) is aimed at DevOps engineers who wish to set up, deploy and manage a Git-based software deployment workflow for their Kubernetes applications.

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

• Install and configure Spinnaker and Terraform.
• Understand the benefits of GitOps over traditional CI/CD and Infrastructure-as-Code (IAC).
• Move away from maintaining scripts. Configure and execute well-defined deployment process.
• Apply best practices for cloud-native deployment, management, and monitoring.
• Recover deployments from partial failures without manual intervention.
• Create a GitOps strategy for application development.

This instructor-led, live training Sharjah (online or onsite) is aimed at DevOps engineers and developers who wish to use Java and Kubernetes (K8s) to create, build, test, debug and deploy high-performance and scalable applications.

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

• Set up the necessary development environment to build Java applications.
• Understand the features and architecture of Kubernetes.
• Learn about the key concepts and tools for DevOps.
• Get a refresher on Java programming fundamentals.
• Containerize Java microservices using Docker.
• Build, scale, and deploy Java applications on Kubernetes.

Kubernetes is an open-source platform designed to automate the development stages of containerized applications. Design patterns offer reusable solutions to common software design challenges, and Kubernetes extensions are used to configure and support Kubernetes clusters. By leveraging these design patterns and extensions, users can implement CI/CD strategies while ensuring their software applications remain scalable and flexible.

This instructor-led training (online or in-person) is tailored for developers and DevOps engineers who aim to utilize Kubernetes design patterns and extensions to build enterprise applications on Kubernetes clusters.

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

• Establish a Kubernetes cluster and set up essential DevOps tools.
• Grasp the basics of software design patterns and Kubernetes extensions.
• Employ Kubernetes extensions and design patterns when working with the Kubernetes API.
• Create customized Kubernetes resources and deploy dynamic controllers within a cluster.
• Manage and secure any Kubernetes environment using Kubernetes plugins.
• Integrate DevOps networking models into current and future Kubernetes projects.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• Hands-on implementation in a live-lab setting.

Customization Options for the Course

• To request a customized training session, please contact us to arrange further details.

This instructor-led, live training in Sharjah (online or onsite) is aimed at DevOps engineers and developers who wish to deploy and manage OpenStack services on cloud infrastructures using Kubernetes.

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

• Deploy, configure, and manage MOS and its components.
• Access OpenStack APIs.
• Perform common OpenStack operations tasks (backup, restore, etc.).
• Upgrade OpenStack deployments.

This instructor-led, live training in Sharjah (online or onsite) is aimed at developers and DevOps engineers who wish to leverage Tekton Pipelines for supporting complex software development workflows and building automated CI/CD pipelines.

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

• Install and configure Tekton Pipelines and other foundational Tekton components.
• Design and create the building blocks of pipelines for software development in Tekton.
• Automate existing pipelines and development processes using Tekton framework concepts and principles.
• Run and manage Tekton Pipelines for various workload types across multiple platforms.
• Implement CI/CD systems based on the Tekton framework to enhance future software development projects.