{"id":110625,"date":"2023-10-05T15:10:13","date_gmt":"2023-10-05T13:10:13","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-victoriametrics-1-94-subd-dlya-postroeniya-sistem-monitoringa"},"modified":"2023-10-05T15:10:13","modified_gmt":"2023-10-05T13:10:13","slug":"vypusk-victoriametrics-1-94-subd-dlya-postroeniya-sistem-monitoringa","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sv\/blog\/news\/vypusk-victoriametrics-1-94-subd-dlya-postroeniya-sistem-monitoringa","title":{"rendered":"Utgivning av VictoriaMetrics 1.94, en databas f\u00f6r \u00f6vervakningssystem","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Version 1.94.0 of the VictoriaMetrics platform is now available, providing a database for storing and processing time series data (a record forms time and a set of values corresponding to that time, for example, obtained through periodic polling of sensor states or metric collection), optimized for monitoring tasks. The project competes with solutions such as InfluxDB, TimescaleDB, Thanos, Cortex, and Uber M3, and features higher performance. The database can be used as a long-term data store connected to Prometheus and Grafana, as well as a transparent replacement for InfluxDB. The code is written in Go and is distributed under the Apache 2.0 license. <\/p>\n

I prestandatester \u00f6vertr\u00e4ffar VictoriaMetrics InfluxDB och TimescaleDB vid ins\u00e4ttning och h\u00e4mtning av data upp till 20 g\u00e5nger, samtidigt som den anv\u00e4nder 10 g\u00e5nger mindre RAM \u00e4n InfluxDB och 7 g\u00e5nger mindre \u00e4n Prometheus, Thanos och Cortex vid hantering av miljoner unika tidsserier. Att lagra data i komprimerad form g\u00f6r att 7 g\u00e5nger fler poster kan lagras i samma utrymme j\u00e4mf\u00f6rt med Prometheus, Thanos och Cortex, och 70 g\u00e5nger fler j\u00e4mf\u00f6rt med TimescaleDB. Specifika optimeringar finns f\u00f6r lagring med h\u00f6g latens och l\u00e5g intensitet f\u00f6r in-\/utdataoperationer (t.ex. h\u00e5rddiskar och molnlagring fr\u00e5n AWS, Google Cloud och Microsoft Azure). <\/p>\n

DBMS:et \u00e4r utformat som en enda k\u00f6rbar fil med minimala inst\u00e4llningar som \u00f6verf\u00f6rs via kommandoraden vid start. All data lagras i en enda katalog som anges vid start med hj\u00e4lp av flaggan '\u2013storageDataPath'. MetricsQL anv\u00e4nds som fr\u00e5gespr\u00e5k, en utvidgad version av PromQL-spr\u00e5ket som anv\u00e4nds i \u00f6vervakningssystemet Prometheus. F\u00f6rutom kontinuerlig bearbetning av inkommande data finns det \u00e4ven m\u00f6jlighet att ladda upp tidigare insamlade historiska data. <\/p>\n

Tools are provided to ensure the integrity of the storage against data corruption, such as during emergency power outages (the storage takes the form of a journal-structured tree with merging), as well as a simple snapshot-based backup system. It is possible to combine VictoriaMetrics nodes into a horizontally scalable cluster that supports high availability mechanisms. <\/p>\n

Among the new features added in this release: <\/p>\n