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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学费单西班牙UMH文凭米格尔·埃尔南德斯·德埃尔切大学成绩单
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Virtualization Trends Streamlining Operations in Telecom with David Bernard ...
Virtualization Trends Streamlining Operations in Telecom with David Bernard ...David Bernard Ezell The telecommunications industry is undergoing a significant transformation driven by virtualization technologies. Virtualization, which involves the abstraction of hardware resources and the creation of virtual instances of software-based functions, is revolutionizing the way telecom operators design, deploy, and manage their networks. In this blog, we delve into the latest virtualization trends that are reshaping operations in the telecom sector, driving efficiency, agility, and innovation.
34 Global Mobile Commerce_ Strategies, Implementation and Case Studies (Premi...
34 Global Mobile Commerce_ Strategies, Implementation and Case Studies (Premi...Nguyễn Minh Thương mại điện tử
34 Turban Electronic Commerce 2018_ A Managerial and Social Networks Perspect...
34 Turban Electronic Commerce 2018_ A Managerial and Social Networks Perspect...Nguyễn Minh Thương mại điện tử
Why You Definitely Don’t Want to Build Your Own Time Series Database
- 6. SCALABILI TY Grow capacity with demand AVAILABI LITY Remain operational despite failures PERFORM Enable interactive analysis
- 16. Dimensions Atlas Telemetry: A Platform Begets an Ecosystem ∏ = 2 million
- 23. Non-ACID No user data is stored, so no transactional semantics Sequentia l Write pattern and read pattern Compress Values cluster
- 25. File per metric
- 27. Sharing a file
- 28. CPU (Host = A)CPU (Host = B)CPU (Host = C)CPU (Host = D) Mstore
- 29. Writing data
- 31. Query languageThe limits of my language mean the limits of my world. —Ludwig Wittgenstein, Tractatus Logico- Philosophicus (1922)
- 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
- 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)
- 41. Data Replication
- 45. Tooling Spark OpenTSDB Bulk export Bulk import Prometheus exposition Grafana Graphite Metrics 2.0 Influx wire
- 48. Importing data into running cluster via Spark
- 49. Metric churn
- 52. Starting over * without rewriting a TSDB
- 53. databas e S3 for durability Atlas for time ser EC2 for scaling Kafka for replication Consul for consensus
- 59. Data placement
- 62. Long term
- 65. Query BLENDIN
- 67. Conclusi onWriting a TSDB is HARDWriting a TSDB is FUNTry Outlyer! https://www.outlyer. com