Why You Definitely Don’t Want to Build Your Own Time Series Database

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At Outlyer, an infrastructure monitoring tool, we had to build our own TSDB back in 2015 to support our service. Two years later, we decided to take a different direction after seeing for ourselves how hard it is to build and scale a TSDB. This talk will review our journey, the challenges we hit trying to scale a TSDB for large customers and hopefully talk some people out of trying to build one themselves because it is not easy!

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—Ludwig Wittgenstein, Tractatus Logico-
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—Kyle Kingsbury, Carly Rae Jepsen and the
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Tooling
Spark
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Graphite
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http://netflix.github.io/atlas/slides/atlas_ov
erview.pdf

Conclusi
onWriting a TSDB is
HARDWriting a TSDB is
FUNTry Outlyer!
https://www.outlyer.
com

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原版仿制(uob毕业证书)英国伯明翰大学毕业证本科学历证书原版一模一样

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APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024

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APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024

Why You Definitely Don’t Want to Build Your Own Time Series Database

1. WRITE YOUR OWN Do not

2. collecti on metri csmetri csmetri cs storageanalytic s

3. 12billion data points per day

6. SCALABILI TY Grow capacity with demand AVAILABI LITY Remain operational despite failures PERFORM Enable interactive analysis

10. https://dalmatiner. Write optimized ZFS Riak core

11.

12. 1 second UNLIMIT ED retentio n! MetricCHURN

13.

14. Sequence of data points in time

15. Can be MILLIO NS of

16. Dimensions Atlas Telemetry: A Platform Begets an Ecosystem ∏ = 2 million

17. http://www.vldb.org/pvldb/vol8/p1816- teller.pdf

18.

19. Read pattern: many series small time https://fabxc.org/t sdb

20. Read pattern: one series, large time interval

21. Read pattern: many series, large time

22. Write pattern: many small increment

23. Non-ACID No user data is stored, so no transactional semantics Sequentia l Write pattern and read pattern Compress Values cluster

24. A simple data model

25. File per metric

26.

27. Sharing a file

28. CPU (Host = A)CPU (Host = B)CPU (Host = C)CPU (Host = D) Mstore

29. Writing data

30.

31. Query languageThe limits of my language mean the limits of my world. —Ludwig Wittgenstein, Tractatus Logico- Philosophicus (1922)

32.

33. SELECT max( max(cpu.usage_user FROM bucket WHERE (hostname = 'host_1' OR hostname = 'host_2'), 1m) BETWEEN "2016-01-16T13:00:24Z" AND "2016-01-17T13:00:24Z"

34. SELECT avg( cpu.usage_user FROM bucket GROUP BY $hostname USING avg, 1h) AS $hostname.cpu.usage_user LAST 1d

35.

36.

37. DFlow Analytic query optimizer

38. Distributing data Hey I just met you The network’s laggy But here’s my data So store it maybe —Kyle Kingsbury, Carly Rae Jepsen and the perils of network partitions (2013)

39.

40.

41. Data Replication

42.

43. Testing partial failures, can it

44. https://github.com/worstcase/blockade

45. Tooling Spark OpenTSDB Bulk export Bulk import Prometheus exposition Grafana Graphite Metrics 2.0 Influx wire

46.

47.

48. Importing data into running cluster via Spark

49. Metric churn

50. Container s create many short lived series