Containers and Virtual Machines (VMs) Training in Austin

Edge AI is a paradigm that emphasizes running machine learning inference near data sources to achieve low-latency, efficient, and scalable processing. This instructor-led, live training (online or onsite) is designed for intermediate to advanced practitioners who wish to deploy, orchestrate, and optimize AI workloads in Kubernetes-based edge environments for government applications. By completing this course, participants will be able to: - Set up lightweight Kubernetes distributions suitable for edge deployments. - Deploy AI inference workloads effectively across resource-constrained edge nodes. - Manage connectivity challenges and synchronization patterns in edge environments. - Optimize performance, storage, and networking for real-world edge scenarios. **Format of the Course** - Guided presentations supported by practical government-focused examples. - Scenario-based labs and hands-on edge deployment exercises. - Direct experience with Kubernetes edge frameworks tailored to public sector workflows. **Course Customization Options** - To request a customized training that aligns with specific edge platform needs for government, please contact us to arrange.

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.

Kubeflow is an open-source platform designed to streamline the development, training, and deployment of machine learning workloads on Kubernetes. This instructor-led, live training (online or onsite) is aimed at professionals at the beginner to intermediate levels who wish to build reliable ML workflows using Kubeflow for government applications. Upon completion of this training, attendees will gain the skills to: - Navigate the Kubeflow ecosystem and its core components. - Build reproducible workflows with Kubeflow Pipelines. - Run scalable training jobs on Kubernetes. - Serve machine learning models efficiently using Kubeflow Serving. **Format of the Course** - Guided presentations and collaborative discussions. - Hands-on labs with real Kubeflow components. - Practical exercises to build end-to-end ML workflows. **Course Customization Options** - Customized versions of this training can be arranged to align with your team’s technology stack and project requirements for government use.

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 Austin (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 for government. 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 command line tools. - Gain hands-on experience from basic to advanced Kubernetes operations and administration.

In this instructor-led, live training in Austin (onsite or remote), participants will learn how to deploy a collection of sample servers within containers, then automate, scale, and manage their containerized servers within a Kubernetes cluster. The training progresses to more advanced topics, guiding participants through the process of securing, networking, and monitoring a Kubernetes cluster for government applications. By the end of this training, participants will be able to: - Set up and run a Docker container. - Deploy containerized databases and servers. - Establish a Docker and Kubernetes cluster. - Use Kubernetes to deploy and manage various environments under the same cluster. - Secure, scale, and monitor a Kubernetes cluster for government use.

This instructor-led, live training in Austin (online or onsite) is designed for intermediate to advanced developers, DevOps professionals, and architects who aim to design, deploy, and manage resilient applications using microservices, containers, and continuous integration/continuous deployment (CI/CD) pipelines. By the end of this training, participants will be able to: - Understand and implement microservices architecture. - Deploy and manage containerized applications with Docker and Kubernetes. - Set up and optimize CI/CD pipelines for automated deployments. - Apply best practices for security, monitoring, and observability in alignment with standards and guidelines for government.

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.

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.

This instructor-led, live training in [location] (online or onsite) is designed for beginner-level developers who wish to learn the fundamentals of Kubefirst and how it simplifies, secures, and accelerates Kubernetes and Swarm cluster management at enterprise scale for government. By the end of this training, participants will be able to: - Set up a Kubefirst development environment. - Write and run basic Kubefirst programs. - Annotate code with Kubefirst directives and clauses. - Utilize Kubefirst APIs and libraries. - Profile and debug Kubefirst programs.

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.

This instructor-led, live training in [location] (online or onsite) is aimed at intermediate-level system administrators who wish to effectively deploy, manage, and troubleshoot Hyper-V environments for government. By the end of this training, participants will be able to: - Understand virtualization concepts and configure Hyper-V. - Create and manage virtual machines, VM storage, and networking. - Utilize advanced Hyper-V features and secure Hyper-V environments. - Monitor and optimize Hyper-V performance.

This instructor-led, live training (online or onsite) is designed for government employees who are beginner to intermediate-level developers, system administrators, and DevOps engineers seeking 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 within a Kubernetes environment. - Debug common issues encountered in Kubernetes environments for government use.

This instructor-led, live training in Austin (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.

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

In this instructor-led, live training in [location] (onsite or remote), participants will learn how to create and manage Docker containers, then deploy a sample application within a container. They will also gain the skills to automate, scale, and manage their containerized applications within a Kubernetes cluster. The training further delves into advanced topics, guiding participants through securing, scaling, and monitoring a Kubernetes cluster for government use. 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 for government operations.

The Certified Kubernetes Administrator (CKA) program was developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF). Kubernetes has become a leading platform for container orchestration in modern computing environments. NobleProg has been providing Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have established ourselves as one of the premier training organizations globally in the field of containerization. Since 2019, we have also assisted our clients in validating their performance in Kubernetes environments by preparing them to pass the CKA and CKAD exams. This instructor-led, live training (available online or on-site) is designed for System Administrators and Kubernetes users who wish to confirm their expertise by passing the CKA exam. Additionally, the training focuses on gaining practical experience in Kubernetes administration, making it valuable even for those not planning to take the CKA exam. **Format of the Course:** - Interactive lectures and discussions. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options:** - To request a customized training program for government or other specific needs, please contact us to arrange. - For more information about CKA certification, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The objective of this practical course is to equip participants with the essential tools needed to address the practical aspects of Docker and Kubernetes. This ensures that participants will have the necessary skills for the effective management of these technologies for government use.

In this instructor-led, live training in Austin, 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 (online or onsite) is aimed at engineers wishing to automate, secure, and monitor containerized applications in a large-scale Kubernetes cluster for government. By the end of this training, participants will be able to: - Use Kubernetes to deploy and manage different environments under the same cluster. - Secure, scale, and monitor a Kubernetes cluster. **Format of the Course** - Interactive lecture and discussion - Extensive exercises and practice sessions - Hands-on implementation in a live-lab environment **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

The Certified Kubernetes Application Developer (CKAD) program has been developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), which hosts Kubernetes. This instructor-led, live training (online or onsite) is designed for Developers who wish to validate their skills in designing, building, configuring, and exposing cloud native applications for government use on Kubernetes. The training also emphasizes gaining practical experience in Kubernetes application development. We recommend participating in this course even if you do not plan to take the CKAD exam. NobleProg has been delivering Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the best-known training companies worldwide in the field of containerization. Since 2019, we have also been assisting our clients in confirming their proficiency in Kubernetes environments by preparing them and encouraging them to pass the CKA and CKAD exams. **Format of the Course** - Interactive lecture and discussion. - Numerous exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange. - For more information about CKAD, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

This instructor-led, live course in Austin offers participants a comprehensive overview of Rancher, tailored for government use. Through hands-on practice, attendees will learn how to effectively deploy and manage a Kubernetes cluster using Rancher, ensuring alignment with public sector workflows and governance requirements.

Istio is an open-source service mesh designed to run on Kubernetes, providing secure, observable, and manageable connectivity between microservices. By utilizing Istio’s Envoy-based sidecar proxies, teams can enforce policies, secure communications with mutual TLS (mTLS), achieve deep observability into traffic, and enhance reliability at scale. This instructor-led, live training (available online or onsite) is targeted at intermediate-level engineers who aim to deploy, secure, and manage microservices applications using Istio on Kubernetes for government. By the end of this training, participants will be able to: - Install and configure Istio on Kubernetes clusters. - Understand and apply service mesh concepts, including traffic management, security, and observability. - Deploy microservices applications within an Istio service mesh. - Secure service-to-service communications with mutual TLS (mTLS) and Zero Trust principles. - Monitor, trace, and troubleshoot microservices using Prometheus, Grafana, and Jaeger. - Integrate Istio with Calico for advanced network policies and security. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

EKS is a self-managed Kubernetes-as-a-service offering from AWS. EKS is fully scalable and customizable, enabling a Kubernetes deployment to mimic or integrate with an existing on-premise Kubernetes setup.

In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on EKS for government operations.

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

• Configure and manage Kubernetes on EKS
• Migrate an existing Kubernetes environment from on-premise to the AWS cloud
• Integrate Kubernetes with third-party continuous integration (CI) software
• Ensure high availability and disaster recovery in Kubernetes
• Understand and adopt the tools available to efficiently manage EKS for government use cases

Audience

• Developers
• System Administrators
• DevOps Engineers

Format of the Course

• Part lecture, part discussion, exercises, and extensive hands-on practice in a live-lab environment.

Note

• To request a customized training for this course, please contact us to arrange.

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 Austin (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.

In this instructor-led, live training for government participants, attendees 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 for government (onsite or remote), participants will learn how to install, configure, and manage OKD on-premises 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 environments. - Deploy containerized applications on OKD. - Monitor the performance of applications running in OKD. - Manage data storage solutions. - Quickly deploy applications on-premises or on a public cloud such as AWS.

This instructor-led, live training in [location] (online or onsite) is aimed at Kubernetes practitioners who wish to prepare for the Certified Kubernetes Security Specialist (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 training aligns with best practices for government agencies seeking to enhance their cybersecurity measures for government operations.

This instructor-led, live training (available online or on-site) is designed for engineers who wish to evaluate these services to make informed decisions about their deployment within their organization. By the end of this training, participants will be able to: - Establish a development environment that includes all necessary libraries, packages, and frameworks required to begin development. - Set up, configure, and deploy demonstration containers using various approaches. - Understand the architectural and design differences among different Docker/Kubernetes solutions available for government use 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.

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.

Apache Karaf is an OSGi-based runtime environment designed for deploying containerized applications.

In this instructor-led, live training (on-site or remote), participants will learn how to set up an OSGi-based project as they step through the deployment of a modular Java application using Apache Karaf.

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

• Install and configure Apache Karaf
• Understand the essential features of the OSGi runtime environment
• Develop a containerized application using the Apache Karaf runtime environment

Audience

• Architects
• Developers

Format of the Course

• Part lecture, part discussion, exercises, and extensive hands-on practice.

Note

• To request a customized training for government or other organizational needs, please contact us to arrange.

In this instructor-led, live training in Austin, we provide an overview of the architecture, components, and processes behind application virtualization. Participants will be guided step-by-step through the deployment of App-V and App-V applications in a live lab environment designed for government use. By the end of the course, participants will have gained the knowledge and hands-on practice necessary to install, configure, administer, and troubleshoot App-V, as well as create, package, and deploy their own App-V applications tailored for government workflows.

In this instructor-led, live training in Austin, we cover advanced techniques and troubleshooting for Microsoft Application Virtualization (App-V), with a particular focus on sequencing and packaging for government environments.

By the end of the course, participants will have a comprehensive understanding of App-V and be equipped to sequence, troubleshoot, and resolve complex issues for government workflows.

This 7-day program offers a comprehensive, hands-on exploration into designing, deploying, and operating cloud-native applications using modern DevOps practices for government agencies.

Participants will delve into the design of scalable microservices architectures, optimization of container environments, and management of production workloads with Kubernetes. The curriculum covers advanced deployment strategies, GitOps-based automation, and observability techniques to ensure system reliability and performance.

A significant emphasis is placed on addressing real-world operational challenges, such as incident response, failure simulation, and root cause analysis. The program concludes with an examination of AI-powered tools that support troubleshooting and enhance 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 for government operations.

DC/OS (Distributed Cloud Operating System) is an open-source distributed operating system built upon the Apache Mesos project. Apache Mesos was developed using principles similar to those of the Linux kernel, but at a different level of abstraction. The Mesos kernel operates on every machine and provides applications such as Hadoop, Spark, Kafka, and Elasticsearch with APIs for resource management and scheduling across entire data centers and cloud environments. Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual), enabling the creation and effective operation of fault-tolerant and elastic distributed systems.

DC/OS integrates Mesos with more than 30 applications into a cohesive system, similar to how a Linux distribution packages the Linux kernel with applications to create a functional operating system.

This course provides participants with an overview of Apache Mesos and DC/OS, demonstrating through hands-on practice how to deploy and manage a comprehensive Data Center Operating System for government use.

Audience

• System administrators
• DevOps engineers

Format of the course

• Part lecture, part discussion, with a strong emphasis on hands-on practice

This instructor-led, live training (online or onsite) is aimed at DevOps engineers and developers who wish to utilize Fedora CoreOS to reduce maintenance and upgrade costs associated with running containerized applications on Kubernetes for government operations. By the end of this training, participants will be able to: - Install and configure Fedora CoreOS. - Set up a Kubernetes cluster on Fedora CoreOS. - Run and manage Kubernetes deployments on Fedora CoreOS. - Automatically update Fedora OS with the latest improvements, bug fixes, and security updates.

This instructor-led, live training in Austin (online or onsite) is aimed at DevOps engineers who wish to establish, 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 advantages of GitOps over traditional CI/CD and Infrastructure-as-Code (IAC). - Transition from maintaining scripts to configuring and executing well-defined deployment processes. - Apply best practices for cloud-native deployment, management, and monitoring. - Recover deployments from partial failures without manual intervention. - Develop a GitOps strategy for application development that aligns with public sector workflows and governance standards for government.

This instructor-led, live training (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 for government. By the end of this training, participants will be able to: - Set up the necessary development environment for building Java applications. - Understand the features and architecture of Kubernetes. - Learn key concepts and tools relevant to DevOps practices. - Refresh their knowledge of Java programming fundamentals. - Containerize Java microservices using Docker. - Build, scale, and deploy Java applications on Kubernetes.

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.

The Red Hat OpenShift Administration II: Configuring a Production Cluster (DO280) course is designed to equip OpenShift Cluster Administrators with the skills necessary to manage daily administration tasks for clusters hosting applications from both internal teams and external vendors. This training enables administrators to facilitate self-service capabilities for users with varying roles and deploy applications that necessitate specific permissions, such as CI/CD tooling, performance monitoring, and security scanners. The course emphasizes configuring multi-tenancy and security features of OpenShift, as well as managing add-ons based on operators, ensuring robust and secure cluster operations for government and other organizational environments.

In this instructor-led, live training in Austin (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 [location] (online or onsite) is designed for DevOps engineers and developers who wish to utilize Podman to create, run, and manage containers and pods as a non-root user. By the end of this training, participants will be able to: - Install and configure Podman in rootless mode. - Build and run containers, container images, and pods. - Manage container networking and lifecycle. - Use Podman instead of Docker for creating and deploying containerized applications, ensuring alignment with best practices for government.

This in-depth technical course is designed to provide participants with the advanced skills needed to manage Proxmox VE-based virtualized infrastructure, focusing on storage, backup, high availability, security, and monitoring. Through theoretical lessons and numerous practical exercises, participants will learn how to:

• Manage local and remote storage, leveraging ZFS for advanced features and integrating Ceph for distributed storage scenarios.
• Implement backup and disaster recovery strategies using snapshots, replication, restore, and Proxmox Backup Server.
• Design and administer high-availability clusters, enabling live VM migration and load balancing.
• Apply best practices for security reinforcement, configure firewalls, and protect VMs and containers.
• Monitor performance and logs with integrable tools like Zabbix, Prometheus, and Grafana, for comprehensive visibility into the infrastructure.
• Develop real-world use cases in academic and corporate settings, including DevOps environments, production service hosting, and HPC clusters.

The course is highly practical and operational, with hands-on sessions guiding participants from initial configuration to failover scenario simulation.

This instructor-led, live training (available online or onsite) is designed for government penetration testers who wish to conduct network penetration tests using Kali Linux and Python. By the end of this training, participants will be able to: - Develop Python scripts to identify network vulnerabilities. - Utilize Kali web shells and shellcode in exploit development. - Employ a variety of Kali tools for comprehensive penetration testing. - Execute system exploitation using Python. This course is tailored to enhance the skills of professionals working in cybersecurity roles for government agencies, ensuring they are equipped with the latest techniques and tools for effective network security assessments.

This practical course is designed for system administrators, developers, embedded developers, and desktop users (including managers) who are interested in gaining an introduction to virtualization. Upon completion of this course, administrators will be equipped to create private clouds for use in production environments, while developers will be able to test their code across multiple operating systems without the need for a second PC or non-x86 hardware. We recognize that the topics covered in this course span a broad range of subjects and may not be equally relevant to all participants. When registering for this course, please specify your specific goals related to QEMU or KVM, and we will tailor the content by reallocating time from less pertinent areas to those that are most important for government use.

This instructor-led, live training in Austin (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.

This instructor-led, live training (conducted either online or onsite) is designed for government administrators who wish to utilize Veeam Backup and Replication to manage the backup, restoration, and replication of data. By the end of this training, participants will be able to: - Execute replication and restoration processes on virtual machines, servers, and workstations. - Test and verify backups to ensure recoverability. - Secure and protect Veeam backups from ransomware attacks, ensuring data integrity for government operations.

This instructor-led, live training (available online or onsite) is designed for intermediate-level virtualization administrators who wish to transition to open-source platforms from VMware. By the end of this training, participants will be able to: - Install and configure KVM, oVirt, and Proxmox VE. - Migrate virtual workloads from VMware to these open-source solutions. - Implement high availability and disaster recovery strategies for government environments. - Optimize performance in open-source virtualization environments to meet the needs of public sector workflows and governance.

Microsoft Azure provides robust infrastructure and deployment solutions for government agencies. These services are designed to support scalable, secure, and efficient operations that align with public sector workflows, governance, and accountability requirements. Azure's infrastructure ensures high availability and reliability, while its deployment tools facilitate seamless integration and management of resources, enhancing overall operational effectiveness for government use.