Monitoring Kubernetes with Prometheus Training Course

This instructor-led, live training in Taiwan (online or onsite) is aimed at advanced-level DevOps and SRE professionals who wish to enhance their alerting and automation skills with Grafana and Prometheus.

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

• Create and manage advanced alerting rules in Prometheus.
• Integrate Prometheus Alertmanager with external tools using webhooks.
• Automate responses to alerts for faster issue resolution.
• Use Grafana to visualize and manage alerts effectively.

This instructor-led, live training in Taiwan (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.

This instructor-led, live training in Taiwan (online or onsite) targets intermediate-level DevOps and SRE professionals who aim to develop impactful dashboards and optimize their monitoring practices using Grafana and Prometheus.

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

• Understand best practices for designing effective dashboards.
• Create and configure advanced Grafana dashboard elements.
• Leverage Grafana templating for dynamic and reusable dashboards.
• Implement alerting mechanisms to enhance operational awareness.

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

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

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

DO180 serves as an introduction to containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts, with a strong emphasis on developing hands-on skills.

This instructor-led, live training, available online or on-site, is designed for beginner to intermediate technical professionals seeking to understand container workflows, Kubernetes primitives, and the methods for deploying and operating applications on OpenShift.

Upon completing this training, participants will be capable of:

• Building and managing container images and registries, adhering to best practices for reproducibility and security.
• Deploying and managing Kubernetes objects, such as pods, deployments, and services, within OpenShift.
• Leveraging OpenShift features, including routes, build configurations, and the web console, to streamline application delivery.
• Implementing persistent storage, configuration management, and secrets handling for stateful workloads.
• Applying basic security, RBAC, and monitoring practices to maintain healthy clusters and applications.

Course Format

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

Course Customization Options

• For those requesting customized training for this course, please contact us to arrange details.

This guided, live session in Taiwan (available online or in-person) is designed for entry-level IT professionals and DevOps practitioners looking to grasp the fundamentals of Grafana and Prometheus.

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

• Comprehend the purpose and main features of Grafana and Prometheus.
• Install and configure Grafana and Prometheus on a Linux environment.
• Configure basic data sources and dashboards in Grafana.
• Monitor system metrics and visualize data using Prometheus.

This instructor-led, live training in Taiwan (online or onsite) is aimed at intermediate-level cloud and DevOps engineers who wish to enhance cloud observability with Grafana and Prometheus.

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

• Understand the benefits of integrating Grafana and Prometheus with cloud platforms.
• Set up Prometheus for monitoring cloud-based resources.
• Configure Grafana for visualizing cloud service metrics.
• Leverage cloud-native tools and integrations for monitoring scalability.

Grafana and Prometheus are industry-standard tools used to monitor, visualize, and alert on IT infrastructure and application metrics through real-time dashboards and integrations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level IT professionals who wish to integrate Grafana with Prometheus and multiple data sources, and 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 multiple data sources including SQL, Elasticsearch, InfluxDB, and cloud APIs.
• Create advanced dashboards with variables, templating, transformations, and alerts.
• Apply best practices in data modeling, performance tuning, and user access control.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• 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 Taiwan (online or onsite) is designed for engineers who want to leverage Helm to simplify the installation and management of Kubernetes applications.

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

• Install and configure Helm.
• Create reproducible builds of Kubernetes applications.
• Distribute applications as Helm charts.
• Run third-party applications packaged as Helm charts.
• Manage releases of Helm packages.

This instructor-led, live training in Taiwan (online or onsite) is aimed at 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 instructor-led, live training in Taiwan (online or onsite) is designed for beginner to intermediate software developers and DevOps professionals who want 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.

This instructor-led, live training in Taiwan (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 Taiwan (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.

This instructor-led live training in Taiwan (online or on-site) targets system administrators and DevOps engineers seeking to use Prometheus for monitoring systems and applications, either natively or through dynamic microservices 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 how to query data using PromQL.
• Build visualizations and dashboards with Grafana.
• Configure system monitoring and alerting rules.
• Analyze and optimize system and application performance.
• Enable secure integration to remote endpoints and existing systems.

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

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

• Architect Prometheus and Grafana for large-scale and distributed environments.
• Optimize Prometheus performance for high-traffic systems.
• Configure Grafana for large datasets and complex visualizations.
• Implement advanced troubleshooting and scalability strategies.