Best of Observability — June 2024
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Community Picks·2y
How to profile a performance issue using Spring Boot profiling tools
This post explores the importance of profiling performance issues in Spring Boot applications and highlights the scenarios where profiling is crucial. It also discusses the built-in monitoring and observability tools in Spring Boot and introduces Digma as a tool for early detection and profiling of performance issues.
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Grafana Labs·2y
Java observability with OpenTelemetry, Grafana Cloud, and Digma.ai
Modern observability tools like OpenTelemetry and platforms such as Grafana Cloud are making it easier for developers to proactively monitor their application's performance. By integrating these tools with specialized solutions like Digma.ai, developers can shorten the feedback loop, identifying and addressing issues more swiftly. The post describes how to connect a Spring Boot application to Grafana Cloud and configure Digma.ai for continuous feedback within the IDE, enhancing the development lifecycle with runtime code analysis.
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Hacker News·2y
DrDroidLab/PlayBooks: Runbook automation platform with deep observability integrations & Jupyter-notebooks style interface
Enrich your Slack alerts with contextual observability data, automate preliminary investigations in production using PlayBooks. Configure a playbook to auto-trigger based on a Slack alert and receive automated investigation summary in the Slack thread. The tool supports fetching 50+ types of enrichment data from different sources. Access the PlayBooks portal at localhost.
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