Teams using opentelemetry in production
📰 Reddit r/devops
Learn how teams using OpenTelemetry in production still face challenges in observability despite having logs, metrics, and traces
Action Steps
- Identify gaps in your current observability setup using OpenTelemetry
- Investigate questions that still require manual investigation despite having logs, metrics, and traces
- Configure OpenTelemetry to collect more relevant data for your specific use case
- Apply filtering and aggregation techniques to reduce noise in your telemetry data
- Test and refine your OpenTelemetry setup to improve observability
Who Needs to Know This
DevOps teams and engineers can benefit from understanding the limitations of OpenTelemetry in production to improve their observability practices
Key Insight
💡 Even with OpenTelemetry, observability can still fall short in practice, and teams need to continually refine their setup to improve visibility
Share This
🚀 Still can't answer some questions with OpenTelemetry? 🤔 Share your challenges and learn from others in the DevOps community! #OpenTelemetry #DevOps
Key Takeaways
Learn how teams using OpenTelemetry in production still face challenges in observability despite having logs, metrics, and traces
Full Article
What's something you still can't easily answer even with traces? I mean an actual question that still takes time to investigate despite having logs, metrics & traces available. I want to understand where observability still falls short in practice. submitted by /u/outgrownman <a href="https://www.reddit.com/r/devops/comments/1tr72g8/teams_using_opentelemetry_in_p
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