- Time series data can be defined as a sequence of numerical data points collected chronologically from the same source – usually at a fixed interval. As such, this kind of data, when represented in a graphical form, will plot the evolution of the data through time, with the x-axis being time and the y-axis the data value.
- A timestamp, a value, and tags/labels.
- The write-ahead log (WAL).
- The default is 2h and should not be changed.
- A float64 value and a timestamp with millisecond precision.
- Histograms are especially useful for tracking bucketed latencies and sizes (for example, request durations or response sizes) as they can be freely aggregated across different dimensions. Another great use is to generate heatmaps (the evolution of histograms over time).
Summaries without quantiles are quite cheap to generate, collect, and store...
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You're reading from Hands-On Infrastructure Monitoring with Prometheus
Joel Bastos is an open source supporter and contributor, with a background in infrastructure security and automation. He is always striving for the standardization of processes, code maintainability, and code reusability. He has defined, led, and implemented critical, highly available, and fault-tolerant enterprise and web-scale infrastructures in several organizations, with Prometheus as the cornerstone. He has worked at two unicorn companies in Portugal and at one of the largest transaction-oriented gaming companies in the world. Previously, he has supported several governmental entities with projects such as the Public Key Infrastructure for the Portuguese citizen card. You can find his blogs at kintoandar and on Twitter with the handle @kintoandar.
Read more about Joel Bastos
Pedro Arajo is a site reliability and automation engineer and has defined and implemented several standards for monitoring at scale. His contributions have been fundamental in connecting development teams to infrastructure. He is highly knowledgeable about infrastructure, but his passion is in the automation and management of large-scale, highly-transactional systems. Pedro has contributed to several open source projects, such as Riemann, OpenTSDB, Sensu, Prometheus, and Thanos. You can find him on Twitter with the handle @phcrva.
Read more about Pedro Araújo
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Joel Bastos is an open source supporter and contributor, with a background in infrastructure security and automation. He is always striving for the standardization of processes, code maintainability, and code reusability. He has defined, led, and implemented critical, highly available, and fault-tolerant enterprise and web-scale infrastructures in several organizations, with Prometheus as the cornerstone. He has worked at two unicorn companies in Portugal and at one of the largest transaction-oriented gaming companies in the world. Previously, he has supported several governmental entities with projects such as the Public Key Infrastructure for the Portuguese citizen card. You can find his blogs at kintoandar and on Twitter with the handle @kintoandar.
Read more about Joel Bastos
Pedro Arajo is a site reliability and automation engineer and has defined and implemented several standards for monitoring at scale. His contributions have been fundamental in connecting development teams to infrastructure. He is highly knowledgeable about infrastructure, but his passion is in the automation and management of large-scale, highly-transactional systems. Pedro has contributed to several open source projects, such as Riemann, OpenTSDB, Sensu, Prometheus, and Thanos. You can find him on Twitter with the handle @phcrva.
Read more about Pedro Araújo