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Introdução a Monitoramento - DEM09 - Sao Paulo Summit

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Aproveitando a infraestrutura dinâmica disponível por meio de provedores e containers da nuvem, podemos dimensionar como nunca antes. Entretanto, ao aumentar nossa escala, o monitoramento se tornou mais complicado e precisamos ajustar nossa estratégia de monitoramento de acordo. Nesta sessão, aprenda a dimensionar sua estratégia de monitoramento. Mostramos a você como enquadrar suas métricas para determinar quais dados coletar e como interpretá-los. Essa sessão é oferecida pelo parceiro AWS, Datadog.

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Introdução a Monitoramento - DEM09 - Sao Paulo Summit

  1. 1. MONITORING BASICSHOW WE THINK ABOUT MONITORING AT DATADOG
  2. 2. @realscottdixon Solutions Engineer @datadoghq SaaS-based monitoring Trillions of data points per day http://jobs.datadoghq.com
  3. 3. @realscottdixon @datadoghq
  4. 4. COLLECTING DATA IS CHEAP; NOT HAVING IT WHEN YOU NEED IT CAN BE EXPENSIVE SO INSTRUMENT ALL THE THINGS! @realscottdixon @datadoghq
  5. 5. COLLECTING DATA IS CHEAP; NOT HAVING IT WHEN YOU NEED IT CAN BE EXPENSIVE SO INSTRUMENT ALL THE THINGS! @realscottdixon @datadoghq
  6. 6. 4 QUALITIES OF GOOD METRICS NOT ALL METRICS ARE EQUAL @realscottdixon @datadoghq
  7. 7. 1. WELL UNDERSTOOD
  8. 8. 1. WELL UNDERSTOOD
  9. 9. 1. WELL UNDERSTOOD
  10. 10. TW: @gitbisect @datadoghq 2. SUFFICIENT GRANULARITY
  11. 11. 1 second Peak 46% 1 minute Peak 36% 5 minutes Peak 12%
  12. 12. 1 second Peak 46% 1 minute Peak 36% 5 minutes Peak 12%
  13. 13. 1 second Peak 46% 1 minute Peak 36% 5 minutes Peak 12%
  14. 14. 3. TAGGED & FILTERABLE @realscottdixon @datadoghq
  15. 15. Query Based Monitoring “What’s the average throughput of application:nginx per version ?” “How many requests per second is my role:accounting-app running application:postgresql hosted in region:us-west-1 compared to region:us- east-1?” @realscottdixon @datadoghq
  16. 16. WHAT FACETS/CHARACTERISTI CS ARE IMPORTANT TO YOU? MAKE THEM TAGS! @realscottdixon @datadoghq
  17. 17. 4. LONG-LIVED @realscottdixon @datadoghq
  18. 18. M T W TH FM T W TH FM T W TH FM T W TH F
  19. 19. M T W TH FM T W TH FM T W TH FM T W TH F OUTAGE? TUESDAY HOLIDAY?
  20. 20. M T W TH FM T W TH FM T W TH FM T W TH F
  21. 21. TYPES OF METRICS A FRAMEWORK @realscottdixon @datadoghq
  22. 22. @realscottdixon @datadoghq
  23. 23. @realscottdixon @datadoghq
  24. 24. P.S. - June 1! Mark your calendar! @realscottdixon @datadoghq
  25. 25. @realscottdixon @datadoghq
  26. 26. @realscottdixon @datadoghq WHAT TO PAGE ON?
  27. 27. @realscottdixon @datadoghq WHAT TO PAGE ON?
  28. 28. RECURSE UNTIL YOU FIND THE TECHNICAL CAUSES @realscottdixon @datadoghq
  29. 29. -Future You
  30. 30. RECURSE UNTIL YOU FIND THE TECHNICAL CAUSES @realscottdixon @datadoghq
  31. 31. ALERT ON WORK METRICS, BUT RESOURCE METRICS BECOME WORK METRICS? ALERT ON EVERYTHING? @realscottdixon @datadoghq
  32. 32. WHO TO ALERT? eadership @realscottdixon @datadoghq
  33. 33. WHO TO ALERT? Engineers @realscottdixon @datadoghq
  34. 34. WHO TO ALERT? DB Team (Ops/SRE) @realscottdixon @datadoghq
  35. 35. WHO TO ALERT? Ops/SRE @realscottdixon @datadoghq
  36. 36. BE AWARE OF ROLLUPS @realscottdixon @datadoghq
  37. 37. 15m = 30s blocks
  38. 38. 1hr = 1m blocks
  39. 39. 4hrs = 2m blocks
  40. 40. 1 Day = 20m blocks
  41. 41. QUESTIONS?SCOTT DIXON @realscottdixon scott.dixon@datadoghq.com @DATADOGHQ

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