Solution Corner #29: Central Log Management (Recording)

Distributed logs can make troubleshooting unnecessarily complex. Analysis often feels like a puzzle without a clear picture. Together with Marcin, you will explore different ideas and possible solutions. We will also look at typical challenges and discuss them together. Join us and bring in your perspective.

Centralized Log Management in Automic

Distributed logs can make troubleshooting in Automic environments unnecessarily complex. When information is spread across different systems, components, and log files, analysis can quickly feel like a puzzle without a clear overall picture.

In this PEM Automic webinar recording, Marcin shows how centralized log management can help you collect, search, correlate, and use logs more effectively for monitoring and alerting in Automic environments. The session is not only about individual tools, but also about practical approaches, typical challenges, and useful architectures for real-world Automic setups.

Topics covered in this recording

In this webinar, we cover topics such as:

  • Challenges of log management in Automic environments
  • Centralized log collection and analysis
  • Comparison of different log management solutions such as Elasticsearch / ELK Stack, Splunk, Dynatrace, Grafana with Loki, OpenTelemetry, New Relic, and Datadog
  • Demonstration of an OpenTelemetry, Loki, and Grafana setup for Automic logs
  • Dashboards, search, and log correlation across multiple systems and components
  • Alerting and monitoring for agents, databases, and traces

Why centralized log management matters for Automic

Automic environments often consist of many moving parts: the Automation Engine, agents, databases, AWI, integrations, jobs, workflows, and external systems. If each log has to be checked separately during troubleshooting, the process becomes time-consuming and makes root cause analysis much harder.

Centralized log management can help you find relevant information faster, make connections between components more visible, and monitor recurring issues more effectively. Especially in more complex Automic landscapes, this can be an important step toward more efficient operations, troubleshooting, and monitoring.

Who is this recording for?

This recording is intended for Automic administrators, operators, and technical teams working with operations, monitoring, troubleshooting, or platform stability. It is especially useful for anyone who wants to do more than just collect logs and instead make them searchable, actionable, and useful for dashboards and alerts.

Keywords

Automic, Automic Automation, PEM Automic, log management, centralized logs, monitoring, alerting, OpenTelemetry, Grafana, Loki, ELK Stack, Elasticsearch, Splunk, Dynatrace, Datadog, New Relic, Automic DB, agent monitoring, trace monitoring, dashboarding

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