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Observability

Synthetic Monitoring

4 articles from official documentation

Practitioner4 articles
observabilitysyntheticPractitioner

Managing Synthetic Monitoring Checks as Code with Terraform and Grafana Cloud

Take control of your synthetic monitoring with Terraform and Grafana Cloud. Learn how to prototype checks in the Grafana UI and then export them as Terraform resources for seamless management. This approach ensures your monitoring checks are versioned and reproducible.

  • Prototype checks in the Grafana UI to validate configurations before exporting.
  • Configure the Terraform provider specifically for Grafana Cloud Synthetic Monitoring.
5 min read·Grafana Blog
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observabilitysyntheticPractitioner

Mastering Grafana Alerting: A Deep Dive into Synthetic Monitoring

Grafana Alerting is crucial for maintaining system reliability and performance. By leveraging alert rules and notification policies, you can effectively monitor your services. This article breaks down how to set up alert rules that fire based on specific conditions, ensuring you never miss critical issues.

  • Define alert rules that consist of queries and conditions to monitor critical metrics.
  • Utilize notification policies to manage alerts by team or service effectively.
5 min read·Grafana Docs
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observabilitysyntheticPractitioner

Mastering the Multi-Target Exporter Pattern for Observability

The multi-target exporter pattern is a game changer for monitoring diverse systems. It allows you to scrape metrics from multiple targets using a single exporter, simplifying your observability stack. Dive into how it works and what you need to know to implement it effectively.

  • Understand the multi-target exporter pattern to simplify metric collection.
  • Use the blackbox exporter for probing endpoints over various protocols.
5 min read·Prometheus Docs
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observabilitysyntheticPractitioner

Provisioning Grafana: Mastering Synthetic Monitoring

Provisioning Grafana is crucial for managing your observability stack effectively. With the ability to configure data sources using YAML files, you can streamline your monitoring setup. Learn how to leverage environment variables and the pruning feature to keep your Grafana instance clean and efficient.

  • Utilize YAML configuration files in the provisioning/datasources directory for managing data sources.
  • Enable the prune feature to automatically delete unlisted data sources and maintain a clean environment.
5 min read·Grafana Docs
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