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ivom2gi

↗ HN profile [ 61.0 ms ] full profile
Karma
291
Created
December 8, 2011 (14y ago)
Submissions
0
  1. Distributed Tracing in Practice (plumbr.io)
    1 points 0
  2. Distributed Tracing for Dummies (plumbr.io)
    1 points 0
  3. How to build a performance model using system monitoring and tracing (plumbr.io)
    2 points 0
  4. Druid upgrade walkthrough. Resulting in 10x+ drop in error rate and tail latency (plumbr.io)
    3 points 0
  5. Debugging a memory issue in Docker – oomkiller in action (plumbr.io)
    3 points 0
  6. Background TABs in browser load 20 times slower compared to foreground TABs (plumbr.io)
    1 points 0
  7. APMs help you with root cause detection. But this is just scratching the surface (plumbr.io)
    2 points 0
  8. Busting the myths in APM domain – monitoring will not make your app faster (plumbr.io)
    4 points 0
  9. Setting meaningful and measurable requirements to performance and availability (plumbr.eu)
    3 points 0
  10. Show HN: Monitor Your Angular/React/Vue.js/ SPAs with Plumbr Browser Agent (plumbr.eu)
    1 points 0
  11. Java version adoptions 2013-2017, stats from real world deployments of Plumbr (plumbr.eu)
    1 points 0
  12. Garbage Collection: in-depth handbook (plumbr.eu)
    2 points 0
  13. Visualizing layered graphs using Sugiyama method (plumbr.eu)
    2 points 0
  14. How going off-heap got rid of the latency hiccups and halved our Amazon AWS bill (plumbr.eu)
    1 points 0
  15. How we changed our architecture to process 100B events/day (plumbr.eu)
    3 points 0
  16. Time in distributed systems: working around the complexity (plumbr.eu)
    1 points 0
  17. Staying on top of crashing JVMs (plumbr.eu)
    2 points 0
  18. Most popular databases used in applications deployed upon JVM (plumbr.eu)
    1 points 0
  19. Why is troubleshooting so hard? (plumbr.eu)
    2 points 0
  20. Show HN: Monitoring the user experience of an individual user (plumbr.eu)
    1 points 0
  21. Most commonly detected performance issues in Java applications (plumbr.eu)
    3 points 0
  22. Leaking abstractions: concurrency issues in HashMap (plumbr.eu)
    1 points 2
  23. Applying TF-IDF algorithm in practice (using MapReduce programming model) (plumbr.eu)
    2 points 0
  24. How we automated our build, test and release process (plumbr.eu)
    1 points 0
  25. Applying AWS auto-scaling in practice (plumbr.eu)
    3 points 0