Course Code: grafanaprometheuscloud
Duration: 14 hours
Prerequisites:
  • Basic knowledge of Grafana and Prometheus
  • Familiarity with cloud platforms (AWS, Azure, or GCP)

Audience

  • Cloud engineers
  • DevOps engineers
Overview:

Integrating Grafana and Prometheus with cloud platforms enables teams to monitor and visualize cloud infrastructure and services effectively. This course provides a practical understanding of connecting Grafana and Prometheus with AWS, Azure, and GCP for building comprehensive monitoring solutions.

This instructor-led, live training (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.

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.
Course Outline:

Introduction to Cloud Monitoring

  • Challenges and opportunities in cloud monitoring
  • Overview of Grafana and Prometheus for cloud observability
  • Key features of AWS CloudWatch, Azure Monitor, and GCP Monitoring

Setting Up Prometheus in the Cloud

  • Deploying Prometheus on cloud platforms
  • Configuring Prometheus for cloud resource monitoring
  • Managing Prometheus storage and scaling in the cloud

Integrating Grafana with Cloud Services

  • Connecting Grafana to AWS CloudWatch, Azure Monitor, and GCP Monitoring
  • Creating dashboards for cloud resource visualization
  • Best practices for managing cloud metrics

Visualizing Cloud Metrics

  • Setting up Grafana panels for cloud service metrics
  • Using templates and variables for dynamic dashboards
  • Alerting on cloud service performance issues

Monitoring Multi-Cloud Environments

  • Integrating Grafana and Prometheus across multiple cloud platforms
  • Combining metrics from different clouds into unified dashboards
  • Scaling Grafana and Prometheus for multi-cloud use cases

Advanced Integrations

  • Integrating Grafana with Kubernetes in the cloud
  • Using cloud-native exporters with Prometheus
  • Customizing cloud monitoring workflows

Optimizing Performance and Costs

  • Reducing data ingestion and storage costs
  • Optimizing query performance in Grafana
  • Best practices for cost-efficient cloud monitoring

Summary and Next Steps

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