OKD (Origin Kubernetes Distribution) for Administrators Training Course

By the end of this training, participants will be able to: - Construct their own Docker images. - Deploy and manage a large number of Docker applications. - Assess various container orchestration solutions and select the most appropriate one for government needs. - Establish a continuous integration process for Docker applications. - Integrate Docker applications with existing continuous integration tools and processes. - Secure their Docker applications effectively. - Utilize Kubernetes to deploy and manage different environments within the same cluster. - Ensure the security, scalability, and monitoring of a Kubernetes cluster.

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

Kubernetes is a container orchestration platform widely used for managing distributed applications at scale. This instructor-led, live training (online or onsite) is aimed at advanced-level practitioners who wish to apply artificial intelligence and machine learning techniques to optimize Kubernetes resource usage, scheduling decisions, and autoscaling strategies for government operations. At the completion of this program, participants will be able to: - Apply AI/ML models to enhance workload scheduling decisions in Kubernetes. - Use predictive analytics to optimize CPU, GPU, and memory allocation. - Implement intelligent autoscaling using reinforcement learning and metric forecasting. - Reduce infrastructure costs and latency through automated resource optimization. **Format of the Course** - Instructor-guided technical presentations and deep-dive discussions. - Hands-on lab work using real Kubernetes clusters. - Practical exercises applying AI models to real operational scenarios. **Course Customization Options** - To tailor this course to your platform setup or operational requirements for government, please contact us for customization.

Kubernetes is a scalable platform for deploying, serving, and managing machine learning models in production environments. This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to operationalize ML models reliably on Kubernetes for government applications. 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** - Blended lecture, architectural analysis, and guided discussion. - Extensive practical exercises with real-world deployment scenarios for government use cases. - Hands-on implementation using a live Kubernetes environment. **Course Customization Options** - If you need this course tailored to your specific environment or toolchain for government operations, please contact us to discuss customization options.

This instructor-led, live training in US (online or onsite) is aimed at engineers who wish to optimize networking for Kubernetes clusters for government applications. By the end of this training, participants will be able to: - Install and configure Calico. - Understand how Calico differs from traditional overlay networks. - Grasp how Calico integrates internet routing protocols with consensus-based data stores. - Utilize Calico to create a container networking solution for Kubernetes clusters in government environments. - Implement network policy using Calico for enhanced security and compliance in government operations.

DO180 is an introductory course on containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts, with a focus on practical, hands-on skills development.

This instructor-led, live training (available both online and onsite) is designed for beginner to intermediate technical professionals who are interested in learning container workflows, Kubernetes basics, and how to deploy and operate applications on OpenShift.

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

• Build and manage container images and registries using best practices for reproducibility and security.
• Deploy and manage Kubernetes objects such as pods, deployments, and services within OpenShift.
• Leverage OpenShift features like routes, build configurations, and the web console to enhance application delivery.
• Implement persistent storage, configuration management, and secrets handling for stateful workloads.
• Apply basic security measures, role-based access control (RBAC), and monitoring practices to ensure healthy clusters and applications.

Course Format

• Interactive lectures and discussions.
• Hands-on labs in a live OpenShift environment each day.
• Scenario-driven exercises and troubleshooting workshops.

Customization Options for Government

• To request a customized training tailored to the specific needs of your agency, please contact us to arrange.

In this instructor-led, live training in US, participants will learn how to manage the Red Hat OpenShift Container Platform for government environments.

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

• Create, configure, manage, and troubleshoot OpenShift clusters for government use.
• Deploy containerized applications on-premises, in public clouds, or on hosted clouds for government operations.
• Secure the OpenShift Container Platform to meet government security standards.
• Monitor and gather metrics to ensure compliance with government regulations.
• Manage storage solutions that align with government data management policies.

In this instructor-led, live training for government, participants will learn how to utilize the OpenShift Container Platform to deploy containerized applications. By the end of this training, participants will be able to: - Create and configure an OpenShift setup. - Efficiently deploy applications on-premise, in public cloud environments, or on hosted clouds.

This instructor-led, live training in [location] (online or onsite) is designed for engineers who wish to use Helm to streamline the process of installing and managing Kubernetes applications for government. 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 US (online or onsite) is designed for government software developers and DevOps professionals at the beginner to intermediate level 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 fundamental concepts and architecture of Kubernetes for government use. - Deploy and manage containers using kubectl and the Minikube dashboard. - Set up persistent storage and networking solutions for Kubernetes in a government context. - Utilize Minikube for developing, testing, and debugging applications for government projects.

This instructor-led, live training (online or onsite) is designed for intermediate-level developers and DevOps engineers who wish to incorporate Minikube into their development workflows for government. 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 for government. - Optimize their development process using Minikube's advanced features. - Apply best practices for local Kubernetes development in alignment with public sector standards.

In this instructor-led, live training in [location] (online or onsite), participants will learn how to install, configure, and manage OpenShift Container Platform v4. By the end of this training, participants will be able to: - Understand OCI (Open Containers Initiative) and its implications for using container engines such as Docker in OpenShift. - Comprehend the relationship between different versions of OpenShift (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.). - Create, configure, manage, and troubleshoot an OpenShift cluster. - Implement OpenShift's self-management capabilities to enhance platform stability and consistency for government operations. - Secure OpenShift Container Platform. - Monitor and gather metrics. - Manage storage. - Upgrade an OpenShift Container Platform 3 cluster to OpenShift Container Platform 4.

In this instructor-led, live training in US (online or onsite), participants will learn how to create, update, and maintain applications using OpenShift Container Platform for government environments.

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

• Understand OCI (Open Containers Initiative) and its implications for utilizing container engines such as Docker within OpenShift for government operations.
• Grasp the relationship between the different versions of OpenShift (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.) in the context of public sector workflows.
• Automate the software delivery pipeline to enhance efficiency and security for government applications.
• Apply DevOps principles to deliver software continuously, ensuring alignment with governance and accountability standards for government projects.

This instructor-led, live training in US (online or onsite) is designed for intermediate-level infrastructure professionals who aim to utilize Red Hat OpenShift to deploy, manage, and troubleshoot production containerized workloads.

Upon completion of this training, participants will be equipped to manage OpenShift clusters through both the Command Line Interface (CLI) and web console, deploy applications using container images and Kubernetes manifests, diagnose and resolve networking and storage issues, and configure workloads for high availability and seamless updates. This comprehensive training is tailored to enhance skills necessary for government IT professionals.