• It can be complex to set up and configure for first-time users
• Limited built-in analytics requiring external tools for deeper data analysis
• Potential performance issues when handling very large data volumes
• Some advanced features require technical expertise to fully leverage
• Costs can escalate as data usage and storage increase

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Grafana team has launched a Cloud based APM which is not Open Source. It empowers teams with actionable insights through customized dashboards, seamless integrations with diverse data sources, and robust observability capabilities. Grafana stands out for its flexibility, enabling organizations to fine-tune their monitoring setup for optimal performance analysis and reliability.

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• Open Source: Grafana’s APM is not open source. This is only accessible within Grafana Cloud. 
• Language/Tech Stack Compatibility: Distributed Tracing: Yes, Grafana includes support for distributed tracing, making it suitable for monitoring microservice-based architectures. 
• Community Feedback: The Grafana community is large and active, with positive feedback on its flexibility, customizable dashboards, and rich visualization options. Some considerations include potential complexity with extensive configuration and an initial learning curve.
• Reduces mean time to resolution (MTTR) with efficient monitoring and alerting
• Combines telemetry data from applications, frontend, and infrastructure for comprehensive visibility
• Natively supports OpenTelemetry and Prometheus for seamless integration
• Provides customizable dashboards for real-time insights and easy data visualization
• Offers scalable observability solutions suitable for dynamic and growing environments

• Documentation: https://grafana.com/docs/grafana-cloud/monitor-applications/application-observability/
• Community: https://grafana.com/community/