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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.
  • Setting up alerts for 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

Requirements

  • Fundamental knowledge of Grafana and Prometheus.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.

Target Audience

  • Cloud engineers.
  • DevOps engineers.
 14 Hours

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