Monitoring Kubernetes with Prometheus Training Course

This instructor-led, live training in Uzbekistan (online or onsite) is tailored for advanced-level DevOps and SRE professionals looking to enhance their alerting and automation skills with Grafana and Prometheus.

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

• Develop and manage advanced alerting rules in Prometheus.
• Connect Prometheus Alertmanager with external tools using webhooks.
• Automate alert responses to resolve issues more quickly.
• Utilize Grafana to visualize and manage alerts efficiently.

Upon completion of this training, participants will be capable of:

• Creating custom Docker images.
• Deploying and managing a large number of Docker applications.
• Evaluating various container orchestration solutions to select the most appropriate one.
• Establishing a continuous integration process for Docker applications.
• Integrating Docker applications with existing continuous integration toolchains.
• Implementing security measures for Docker applications.
• Utilizing Kubernetes to deploy and manage diverse environments within a single cluster.
• Securing, scaling, and monitoring a Kubernetes cluster.

This instructor-led, live training in Uzbekistan (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:

• Master best practices for designing effective dashboards.
• Develop and configure advanced Grafana dashboard components.
• Utilize Grafana templating to create dynamic and reusable dashboards.
• Implement alerting systems to boost operational awareness.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to instrument their applications to export and monitor custom metrics effectively using Prometheus and Grafana.

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

• Understand the importance of custom metrics for application monitoring.
• Instrument applications to export custom metrics for Prometheus.
• Create and configure dashboards in Grafana to visualize custom metrics.
• Apply best practices for integrating monitoring into the development lifecycle.

DO180 offers a foundational guide to containers, the core principles of Kubernetes, and the concepts behind the Red Hat OpenShift platform, emphasizing practical, hands-on experience.

This instructor-led, live training session (available online or on-site) is designed for technical professionals at the beginner to intermediate level who aim to master container workflows, understand Kubernetes primitives, and learn how to deploy and manage applications on OpenShift.

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

• Construct and manage container images and registries, adhering to best practices for security and reproducibility.
• Deploy and administer Kubernetes objects, such as pods, deployments, and services, within OpenShift.
• Leverage OpenShift features like routes, buildconfigs, and the web console to accelerate application delivery.
• Implement persistent storage, configuration management, and secrets handling for stateful workloads.
• Apply fundamental security measures, RBAC, and monitoring practices to ensure the health of clusters and applications.

Course Format

• Interactive lectures and discussions.
• Daily hands-on labs conducted in a live OpenShift environment.
• Scenario-based exercises and troubleshooting workshops.

Customization Options

• For customized training arrangements for this course, please reach out to us.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for beginner-level IT professionals and DevOps practitioners aiming to learn the fundamentals of Grafana and Prometheus.

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

• Understand the purpose and key features of Grafana and Prometheus.
• Install and configure Grafana and Prometheus in a Linux environment.
• Set up basic data sources and dashboards in Grafana.
• Monitor system metrics and visualize data using Prometheus.

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

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

• Understand the advantages of integrating Grafana and Prometheus with cloud platforms.
• Set up Prometheus to monitor cloud-based resources.
• Configure Grafana for visualizing cloud service metrics.
• Utilize cloud-native tools and integrations for scalable monitoring.

Grafana and Prometheus are widely recognized as industry-standard tools for monitoring, visualizing, and alerting on IT infrastructure and application metrics through real-time dashboards and integrations.

This instructor-led, live training session (available online or onsite) is designed for intermediate to advanced IT professionals who aim to integrate Grafana with Prometheus and various data sources, while building 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 environments.
• Integrate multiple data sources, including SQL, Elasticsearch, InfluxDB, and cloud APIs.
• Create advanced dashboards using variables, templating, transformations, and alerts.
• Apply best practices in data modeling, performance tuning, and user access control.

Format of the Course

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

Course Customization Options

• To request a customized training session, please contact us for arrangements.

This instructor-led, live training in Uzbekistan (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 Uzbekistan (online or onsite) targets beginner-level system administrators and DevOps engineers who wish to develop core monitoring skills using Grafana and Prometheus.

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

• Understand the purpose and importance of monitoring in IT environments.
• Install and configure Grafana and Prometheus for basic monitoring tasks.
• Create simple dashboards and alerts to visualize system performance.
• Apply best practices for monitoring system availability and performance.

This guided, live training in Uzbekistan (online or on-site) is tailored for software developers and DevOps practitioners at beginner to intermediate levels who aim to master the setup and management of a local Kubernetes environment via Minikube.

Upon completing this training, participants will be equipped to:

• Install and configure Minikube on their local workstations.
• Grasp the fundamental concepts and architectural structure of Kubernetes.
• Deploy and oversee containers utilizing kubectl and the Minikube dashboard.
• Implement persistent storage and networking configurations for Kubernetes.
• Leverage Minikube for application development, testing, and debugging.

This instructor-led live training in Uzbekistan (online or onsite) is designed for intermediate-level developers and DevOps engineers who want to utilize Minikube as 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 Uzbekistan (online or onsite) is designed for advanced-level Kubernetes administrators and DevOps engineers who aim to enhance their monitoring expertise 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.

This instructor-led, live training in Uzbekistan (available online or on-site) is tailored for system administrators and DevOps engineers who wish to leverage Prometheus to monitor systems and applications either natively or through highly dynamic microservices operating within cloud environments.

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

• Install and configure Prometheus.
• Understand the features, architecture, and core concepts of Prometheus.
• Learn how to query data using PromQL.
• Create visualizations and dashboards with Grafana.
• Configure system monitoring and alerting rules.
• Analyze and optimize system and application performance.
• Establish secure integrations with remote endpoints and existing systems.

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

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

• Design Prometheus and Grafana for large-scale and distributed environments.
• Enhance Prometheus performance for high-traffic systems.
• Configure Grafana for handling large datasets and complex visualizations.
• Apply advanced troubleshooting and scalability strategies.