Monitoring Kubernetes with Prometheus and Grafana Training Course

This instructor-led live training, available in Denmark either online or onsite, is tailored for advanced-level DevOps and SRE professionals aiming to refine their alerting and automation capabilities using Grafana and Prometheus.

By the conclusion of this training, participants will be capable of:

• Developing and managing advanced alerting rules in Prometheus.
• Connecting Prometheus Alertmanager with external tools via webhooks.
• Accelerating issue resolution by automating alert responses.
• Utilizing Grafana to visualize and manage alerts efficiently.

This live, instructor-led session Denmark (available online or on-site) is tailored for intermediate DevOps and SRE professionals looking to develop high-impact dashboards and enhance their monitoring workflows through Grafana and Prometheus.

Once finished, participants will possess the skills to:

• Apply best practices for designing effective dashboards.
• Build and configure advanced Grafana dashboard elements.
• Use Grafana templating for creating dynamic and reusable dashboards.
• Implement alerting mechanisms to improve operational awareness.

This instructor-led, live training (online or onsite) in Denmark is designed for intermediate-level developers and DevOps engineers aiming to instrument their applications for effective custom metric exportation and monitoring via Prometheus and Grafana.

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

• Recognize the significance of custom metrics in application monitoring strategies.
• Instrument applications to publish custom metrics for Prometheus ingestion.
• Build and configure Grafana dashboards to present custom metric data.
• Adopt best practices for weaving monitoring into the development lifecycle.

This instructor-led live training, delivered Denmark either online or onsite, is tailored for entry-level IT professionals and DevOps practitioners seeking to master the basics of Grafana and Prometheus.

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

• Comprehend the purpose and key capabilities of Grafana and Prometheus.
• Install and configure Grafana and Prometheus on a Linux system.
• Configure basic data sources and build dashboards in Grafana.
• Monitor system metrics and visualize data via Prometheus.

This live, instructor-led training in Denmark (delivered online or onsite) targets intermediate-level cloud and DevOps professionals seeking to strengthen cloud observability using Grafana and Prometheus.

By the conclusion of this training, learners will have the ability to:

• Appreciate the benefits of integrating Grafana and Prometheus with cloud ecosystems.
• Configure Prometheus for the supervision of cloud resources.
• Adjust Grafana settings for the visualisation of service metrics.
• Deploy cloud-native tools and integrations to support scalable monitoring.

This instructor-led live training, delivered in Denmark (either online or on-site), is crafted for engineers seeking to utilize Helm to optimize the installation and administration of Kubernetes applications.

By the end of the session, attendees will be equipped to:

• Set up and configure Helm.
• Build reproducible versions of Kubernetes applications.
• Distribute applications through Helm charts.
• Execute third-party applications available as Helm charts.
• Handle the release cycle of Helm packages.

Tailored for entry-level system administrators and DevOps engineers seeking to build core monitoring capabilities with Grafana and Prometheus, this live training session can be delivered either online or on-site in Denmark.

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

• Comprehend the significance and purpose of monitoring within IT environments.
• Install and configure Grafana and Prometheus to handle fundamental monitoring tasks.
• Construct basic dashboards and alerts to visualize system performance.
• Apply best practices for monitoring system availability and performance.

This instructor-led, live training in Denmark (delivered online or onsite) is designed for beginner to intermediate-level software developers and DevOps professionals seeking to learn how to configure and manage a local Kubernetes environment using Minikube.

By the end of the session, participants will be able to:

• Install and configure Minikube on their local machines.
• Comprehend the core concepts and architecture of Kubernetes.
• Manage container deployment using kubectl and the Minikube dashboard.
• Establish persistent storage and networking configurations for Kubernetes.
• Apply Minikube to application development, testing, and debugging workflows.

This live, instructor-led training in Denmark (online or onsite) targets intermediate developers and DevOps engineers seeking to adopt Minikube in their development routines.

Upon completion, attendees will be equipped to:

• Establish and oversee a local Kubernetes environment through Minikube.
• Master the processes for deploying, overseeing, and troubleshooting applications within Minikube.
• Embed Minikube into existing continuous integration and deployment pipelines.
• Streamline development cycles by leveraging Minikube’s advanced capabilities.
• Implement industry-standard best practices for local Kubernetes development.

This live, instructor-led session in Denmark (online or onsite) targets system administrators and DevOps engineers seeking to utilize Prometheus for monitoring systems and applications, including native setups or dynamic microservices in cloud settings.

By the end of the session, learners will be able to:

• Install and configure Prometheus.
• Understand its features, architecture, and core principles.
• Query data effectively using PromQL.
• Develop visualizations and dashboards via Grafana.
• Set up monitoring and alerting rules.
• Analyze and optimize performance metrics for systems and applications.
• Enable secure connections to remote endpoints and current systems.

Targeted at advanced DevOps engineers and SREs, this instructor-led, live course in Denmark (online or onsite) provides the skills necessary to manage and scale Prometheus and Grafana within large-scale environments.

By the end of the session, participants will be able to:

• Build Prometheus and Grafana architectures for large-scale and distributed contexts.
• Boost Prometheus performance for high-traffic applications.
• Set up Grafana to process large datasets and complex visual elements.
• Execute advanced troubleshooting and scalability plans.