How much disk space does Prometheus use?

How much disk space does Prometheus use?

Prometheus has a sophisticated local storage subsystem. For indexes, it uses LevelDB. For the bulk sample data, it has its own custom storage layer, which organizes sample data in chunks of constant size (1024 bytes payload).

How long does Prometheus store metrics?

retention. time flag that you can set when you start Prometheus. It defines how long data is kept in the time-series database (TSDB). The default is 15 days.

What is compaction in Prometheus?

The compactor component of Thanos applies the compaction procedure of the Prometheus 2.0 storage engine to block data stored in object storage. It is generally not semantically concurrency safe and must be deployed as a singleton against a bucket.

Is Prometheus a Tsdb?

Prometheus is the mostly widely used application for scraping cloud native application metrics. Prometheus and OpenEBS together provide a complete open source stack for monitoring. In this solution, OpenEBS is used as Prometheus TSDB, where all the metrics are permanently stored on local Kubernetes cluster.

What database is used by Prometheus?

disk time series database
Prometheus includes a local on-disk time series database, but also optionally integrates with remote storage systems.

How does Windows calculate disk space?

To a hard disk manufacturer, one KB is 1000 bytes, one MB is 1000 KB, and one GB is 1000 MB. Essentially, if a hard disk is advertised as 500GB, it contains 500 * 1000 * 1000 * 1000 = 500,000,000,000 bytes of space. The hard disk manufacturer thus advertises the disk as a 500 GB hard disk.

What is Prometheus Alertmanager?

The Alertmanager handles alerts sent by client applications such as the Prometheus server. It takes care of deduplicating, grouping, and routing them to the correct receiver integration such as email, PagerDuty, or OpsGenie. It also takes care of silencing and inhibition of alerts.

Where is the data stored in Prometheus?

2 Answers. As you can check the Prometheus Dockerfile on Github (https://github.com/prometheus/prometheus/blob/master/Dockerfile#L24), the working directory is /prometheus and that where you will find all the metrics and data.

How does Prometheus work?

Prometheus can scrape metrics from jobs directly or, for short-lived jobs by using a push gateway when the job exits. The scraped samples are stored locally and rules are applied to the data to aggregate and generate new time series from existing data or generate alerts based on user-defined triggers.

What are the options for storage retention in Prometheus 2.7?

As of Prometheus 2.7 and 2.8 there’s new flags and options. 2.7 introduced an option for size-based retention with –storage.tsdb.retention.size, that is specifying a maximum amount of disk space used by blocks. This is still a bit best effort though as it does not (yet) include the space taken by the WAL or blocks being populated by compaction.

How to plan the capacity of a Prometheus server?

Thus, to plan the capacity of a Prometheus server, you can use the rough formula: To lower the rate of ingested samples, you can either reduce the number of time series you scrape (fewer targets or fewer series per target), or you can increase the scrape interval.

How does Prometheus store time series on disk?

Prometheus stores time series and their samples on disk. Given that disk space is a finite resource, you want some limit on how much of it Prometheus will use. Historically this was done with the –storage.tsdb.retention flag, which specifies the time range which Prometheus will keep available.

How many hours of data are in a Prometheus block?

Backfilling will create new TSDB blocks, each containing two hours of metrics data. This limits the memory requirements of block creation. Compacting the two hour blocks into larger blocks is later done by the Prometheus server itself.