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Nagios Conference 2014 - David Josephsen - Alert on What You Draw
This document discusses various topics related to cloud computing including: - The challenges of maintaining virtual, multi-tenant systems running on massive infrastructure and the need for compulsory maintenance. - How cloud systems are designed to be resilient by running services atop unreliable systems and allowing them to be scaled and changed dynamically. - The importance of monitoring metrics from within services to understand latency, queues, workers and ensure any engineer can access performance data and create new metrics. - Examples of open source tools like Heka and Riemann that can be used to collect and analyze metrics.
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Nagios Conference 2014 - David Josephsen - Alert on What You Draw
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- 2. hi. dave@librato.com @davejosephsen github: djosephsen Graphing
- 3. Alert on Whatyou Draw dave@librato.com @davejosephsen github: djosephsen
- 4. Alert on Whatyou Draw
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- 14. Developer cat Wantsto change things Change control Says no.
- 15. You guys ok? YUP YUP
- 16. Process Oriented Model Given a finite number of reliable systems, and full environmental control, run processes for as long as possible
- 17. The Cloud VVirirtutuaall Maintenance
- 18. The Cloud Virtual Maintenance
- 19. The Cloud Virtual Multi-Tenant Maintenance
- 20. The Cloud Virtual Multi-Tenant Massive Infrastructure
- 21. The Cloud Virtual Multi-Tenant Massive Infrastructure Compulsory Maintenance
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- 28. US-EAST AZ-1 AZ-2 AZ-3
- 29. US-EAST AZ-1 AZ-2 AZ-3
- 30. US-EAST AZ-1 AZ-2 AZ-3
- 31. US-EAST AZ-1 AZ-2 AZ-3
- 32. US-EAST AZ-1 AZ-2 AZ-3 X X X X
- 35. Services Oriented Model Design reliable services atop an infinite number of unreliable, and uncontrollable systems.
- 42. here’s a logline wrapped in an http GET request
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- 52. It Scales IIt’s
- 53. It Scales It’sresilient I
- 54. It Scales It’sResilient I can change how it works
- 56. I Latency, Queues,Workers Summarized
- 57. I Latency, Queues,Workers Monitored from within..
- 58. I Latency, Queues,Workers Monitored from within.. …by Developers
- 59. I Latency, Queues,Workers Monitored from within.. …by Developers Summarized at the service level
- 60. Summarized at theservice level I
- 61. Can be polledexternally I State Data about hosts the order of minutes Operations controls and configures hosts and services Must be instrumented internally Performance Data about services the order of seconds Any engineer can create new ad-hoc metrics
- 62. internally instrumented Imetrics measured every few seconds write-accessible by every engineer
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- 66. Undermines Credibility Silo’sKnowledge I Multiplies
- 67. Undermines Credibility ISilo’s Knowledge Multiplies Burden
- 71. Heka http://hekad.readthedocs.org/en/v0.7.2/ Riemann http://riemann.io/
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