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 Duration 14 hours

Course Outline

Fundamentals of Cloud Monitoring

  • Navigating the challenges and identifying opportunities in cloud observability
  • An introduction to the roles of Grafana and Prometheus in cloud visibility
  • Highlighting core features of AWS CloudWatch, Azure Monitor, and GCP Monitoring

Deploying Prometheus in Cloud Environments

  • Strategies for launching Prometheus instances on various cloud providers
  • Tuning Prometheus settings to track specific cloud resources
  • Handling data storage and scaling considerations within the cloud

Linking Grafana to Cloud Services

  • Establishing connections between Grafana and AWS CloudWatch, Azure Monitor, or GCP Monitoring
  • Designing dashboards that effectively represent cloud resource usage
  • Applying industry best practices for the management of cloud metrics

Effective Visualization of Cloud Metrics

  • Arranging Grafana panels to display critical service indicators
  • Leveraging templates and variables to create dynamic, adaptable views
  • Setting up alerts to flag performance degradation in cloud services

Observability in Multi-Cloud Setups

  • Coordinating Grafana and Prometheus across diverse cloud environments
  • Merging data from multiple clouds into cohesive, unified dashboards
  • Scaling infrastructure to accommodate complex multi-cloud scenarios

Advanced Integration Techniques

  • Connecting Grafana with Kubernetes workloads in the cloud
  • Implementing cloud-native exporters to feed data into Prometheus
  • Customizing monitoring workflows to fit specific organizational needs

Enhancing Performance and Managing Costs

  • Minimizing expenses related to data ingestion and long-term storage
  • Improving the speed and efficiency of Grafana queries
  • Adopting best practices for cost-effective cloud monitoring operations

Conclusion and Future Directions

Requirements

  • Fundamental understanding of Grafana and Prometheus
  • Working familiarity with at least one major cloud platform (AWS, Azure, or GCP)

Target Audience

  • Cloud Engineering professionals
  • DevOps Engineers

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