Monitoring Kubernetes with Prometheus and Grafana Training Course

This instructor-led, live training in US (online or onsite) is designed for advanced-level DevOps and Site Reliability Engineering (SRE) professionals who aim to enhance their alerting and automation skills using Grafana and Prometheus.

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

• Develop and manage sophisticated alerting rules in Prometheus.
• Integrate Prometheus Alertmanager with external systems through webhooks.
• Automate responses to alerts for more efficient issue resolution.
• Utilize Grafana to effectively visualize and manage alerts, ensuring optimal performance monitoring for government operations.

This instructor-led, live training (conducted online or onsite) is designed for intermediate-level DevOps and SRE professionals who aim to create impactful dashboards and optimize their monitoring practices using Grafana and Prometheus. By the end of this training, participants will be able to: - Understand best practices for designing effective dashboards. - Create and configure advanced Grafana dashboard elements. - Utilize Grafana templating to develop dynamic and reusable dashboards. - Implement alerting mechanisms to improve operational awareness and support decision-making processes for government operations.

This instructor-led, live training (available online or onsite) is designed for intermediate-level developers and DevOps engineers who aim to implement effective application monitoring by exporting and visualizing custom metrics using Prometheus and Grafana. By the end of this training, participants will be able to: - Recognize the significance of custom metrics in application monitoring. - Configure applications to export custom metrics for use with Prometheus. - Design and set up dashboards in Grafana to display custom metrics effectively. - Incorporate best practices for integrating monitoring into the development lifecycle, ensuring alignment with public sector workflows and governance for government.

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 (online or onsite) is designed for beginner-level IT professionals and DevOps practitioners who seek to gain foundational knowledge of Grafana and Prometheus.

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

• Comprehend the primary functions and key features of Grafana and Prometheus.
• Install and configure Grafana and Prometheus in a Linux environment for government use.
• Establish basic data sources and dashboards within Grafana.
• Monitor system metrics and visualize data using Prometheus.

This instructor-led, live training (online or onsite) is designed for intermediate-level cloud and DevOps engineers who aim to enhance cloud observability using Grafana and Prometheus for government applications.

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

• Understand the advantages of integrating Grafana and Prometheus with cloud platforms for government use.
• Set up Prometheus to monitor cloud-based resources effectively.
• Configure Grafana to visualize metrics from cloud services.
• Leverage cloud-native tools and integrations to ensure scalable monitoring solutions for government operations.

Grafana and Prometheus are industry-standard tools utilized for monitoring, visualizing, and alerting on IT infrastructure and application metrics through real-time dashboards and integrations. These tools are essential for maintaining the reliability and performance of systems used in various sectors, including those for government.

This instructor-led, live training (online or onsite) is designed for intermediate to advanced IT professionals who aim to integrate Grafana with Prometheus and multiple data sources, and to build actionable visualizations and alerts across distributed systems.

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

• Install and configure Grafana and Prometheus in production-ready setups.
• Integrate a variety of data sources, including SQL, Elasticsearch, InfluxDB, and cloud APIs.
• Create advanced dashboards incorporating variables, templating, transformations, and alerts.
• Implement best practices in data modeling, performance tuning, and user access control.

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 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 (online or onsite) is designed for beginner-level system administrators and DevOps engineers who wish to develop essential monitoring skills using Grafana and Prometheus for government applications.

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

• Comprehend the significance and role of monitoring in IT environments.
• Install and configure Grafana and Prometheus to perform basic monitoring tasks.
• Create simple dashboards and alerts to effectively visualize system performance.
• Implement best practices for ensuring system availability and performance monitoring.

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.

This instructor-led, live training in [location] (online or onsite) is designed for system administrators and developers who wish to utilize Prometheus for monitoring Kubernetes clusters. By the end of this training, participants will be able to: - Install and configure Prometheus. - Monitor dynamic cloud environments for government. - Gain better insight into their Kubernetes clusters. - Set up alerts that are precise and insightful.

This instructor-led, live training in US (online or onsite) is designed for system administrators and DevOps engineers who wish to utilize Prometheus to monitor systems and applications, whether natively or through highly dynamic microservices running in a cloud environment. By the end of this training, participants will be able to: - Install and configure Prometheus. - Understand the features, architecture, and core concepts of Prometheus. - Learn to query data using PromQL. - Build visualizations and dashboards with Grafana. - Set up systems monitoring and alerting rules. - Analyze and optimize system and application performance. - Facilitate secure integration with remote endpoints and existing systems for government.

This instructor-led, live training in US (online or onsite) is designed for advanced-level DevOps engineers and Site Reliability Engineers (SREs) who aim to effectively manage and scale Prometheus and Grafana for large environments.

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

• Design Prometheus and Grafana architectures suitable for large-scale and distributed environments.
• Enhance Prometheus performance in high-traffic systems.
• Set up Grafana to handle large datasets and intricate visualizations.
• Apply advanced troubleshooting and scalability techniques.

This training is tailored to support the specific needs of government agencies for government, ensuring optimal resource utilization and system reliability.