prometheus cpu memory requirements prometheus cpu memory requirements

Recently, we ran into an issue where our Prometheus pod was killed by Kubenertes because it was reaching its 30Gi memory limit. How to set up monitoring of CPU and memory usage for C++ multithreaded application with Prometheus, Grafana, and Process Exporter. This issue has been automatically marked as stale because it has not had any activity in last 60d. Please provide your Opinion and if you have any docs, books, references.. This provides us with per-instance metrics about memory usage, memory limits, CPU usage, out-of-memory failures . However, reducing the number of series is likely more effective, due to compression of samples within a series. When Prometheus scrapes a target, it retrieves thousands of metrics, which are compacted into chunks and stored in blocks before being written on disk. Step 2: Create Persistent Volume and Persistent Volume Claim. However, supporting fully distributed evaluation of PromQL was deemed infeasible for the time being. Indeed the general overheads of Prometheus itself will take more resources. Use at least three openshift-container-storage nodes with non-volatile memory express (NVMe) drives. go_gc_heap_allocs_objects_total: . Prometheus Architecture The tsdb binary has an analyze option which can retrieve many useful statistics on the tsdb database. Can airtags be tracked from an iMac desktop, with no iPhone? Do anyone have any ideas on how to reduce the CPU usage? Memory and CPU use on an individual Prometheus server is dependent on ingestion and queries. Building An Awesome Dashboard With Grafana. It may take up to two hours to remove expired blocks. Currently the scrape_interval of the local prometheus is 15 seconds, while the central prometheus is 20 seconds. Just minimum hardware requirements. When a new recording rule is created, there is no historical data for it. Why is there a voltage on my HDMI and coaxial cables? The core performance challenge of a time series database is that writes come in in batches with a pile of different time series, whereas reads are for individual series across time. Click to tweet. Blocks must be fully expired before they are removed. Promtool will write the blocks to a directory. High-traffic servers may retain more than three WAL files in order to keep at Note that on the read path, Prometheus only fetches raw series data for a set of label selectors and time ranges from the remote end. configuration itself is rather static and the same across all Because the combination of labels lies on your business, the combination and the blocks may be unlimited, there's no way to solve the memory problem for the current design of prometheus!!!! I tried this for a 1:100 nodes cluster so some values are extrapulated (mainly for the high number of nodes where i would expect that resources stabilize in a log way). storage is not intended to be durable long-term storage; external solutions Citrix ADC now supports directly exporting metrics to Prometheus. strategy to address the problem is to shut down Prometheus then remove the Then depends how many cores you have, 1 CPU in the last 1 unit will have 1 CPU second. . You can also try removing individual block directories, The first step is taking snapshots of Prometheus data, which can be done using Prometheus API. You do not have permission to delete messages in this group, Either email addresses are anonymous for this group or you need the view member email addresses permission to view the original message. The Prometheus Client provides some metrics enabled by default, among those metrics we can find metrics related to memory consumption, cpu consumption, etc. My management server has 16GB ram and 100GB disk space. available versions. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Easily monitor health and performance of your Prometheus environments. If there is an overlap with the existing blocks in Prometheus, the flag --storage.tsdb.allow-overlapping-blocks needs to be set for Prometheus versions v2.38 and below. Prometheus is known for being able to handle millions of time series with only a few resources. For comparison, benchmarks for a typical Prometheus installation usually looks something like this: Before diving into our issue, lets first have a quick overview of Prometheus 2 and its storage (tsdb v3). You will need to edit these 3 queries for your environment so that only pods from a single deployment a returned, e.g. Actually I deployed the following 3rd party services in my kubernetes cluster. Careful evaluation is required for these systems as they vary greatly in durability, performance, and efficiency. prometheus.resources.limits.cpu is the CPU limit that you set for the Prometheus container. The minimal requirements for the host deploying the provided examples are as follows: At least 2 CPU cores. More than once a user has expressed astonishment that their Prometheus is using more than a few hundred megabytes of RAM. CPU:: 128 (base) + Nodes * 7 [mCPU] Basic requirements of Grafana are minimum memory of 255MB and 1 CPU. It is only a rough estimation, as your process_total_cpu time is probably not very accurate due to delay and latency etc. Please provide your Opinion and if you have any docs, books, references.. 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. If you're wanting to just monitor the percentage of CPU that the prometheus process uses, you can use process_cpu_seconds_total, e.g. With these specifications, you should be able to spin up the test environment without encountering any issues. I'm using a standalone VPS for monitoring so I can actually get alerts if New in the 2021.1 release, Helix Core Server now includes some real-time metrics which can be collected and analyzed using . These can be analyzed and graphed to show real time trends in your system. Now in your case, if you have the change rate of CPU seconds, which is how much time the process used CPU time in the last time unit (assuming 1s from now on). Contact us. In previous blog posts, we discussed how SoundCloud has been moving towards a microservice architecture. database. or the WAL directory to resolve the problem. By default, the promtool will use the default block duration (2h) for the blocks; this behavior is the most generally applicable and correct. How is an ETF fee calculated in a trade that ends in less than a year? Sure a small stateless service like say the node exporter shouldn't use much memory, but when you want to process large volumes of data efficiently you're going to need RAM. b - Installing Prometheus. The use of RAID is suggested for storage availability, and snapshots Here are I previously looked at ingestion memory for 1.x, how about 2.x? If you are on the cloud, make sure you have the right firewall rules to access port 30000 from your workstation. What is the correct way to screw wall and ceiling drywalls? A quick fix is by exactly specifying which metrics to query on with specific labels instead of regex one. There are two prometheus instances, one is the local prometheus, the other is the remote prometheus instance. Since the remote prometheus gets metrics from local prometheus once every 20 seconds, so probably we can configure a small retention value (i.e. If there was a way to reduce memory usage that made sense in performance terms we would, as we have many times in the past, make things work that way rather than gate it behind a setting. Prometheus Authors 2014-2023 | Documentation Distributed under CC-BY-4.0. Ira Mykytyn's Tech Blog. From here I take various worst case assumptions. It's the local prometheus which is consuming lots of CPU and memory. The CPU and memory usage is correlated with the number of bytes of each sample and the number of samples scraped. Kubernetes has an extendable architecture on itself. Trying to understand how to get this basic Fourier Series. How to match a specific column position till the end of line? Prometheus includes a local on-disk time series database, but also optionally integrates with remote storage systems. Have a question about this project? . the following third-party contributions: This documentation is open-source. Written by Thomas De Giacinto Find centralized, trusted content and collaborate around the technologies you use most. All the software requirements that are covered here were thought-out. As a baseline default, I would suggest 2 cores and 4 GB of RAM - basically the minimum configuration. Prometheus is a polling system, the node_exporter, and everything else, passively listen on http for Prometheus to come and collect data. a - Retrieving the current overall CPU usage. If you run the rule backfiller multiple times with the overlapping start/end times, blocks containing the same data will be created each time the rule backfiller is run. The output of promtool tsdb create-blocks-from rules command is a directory that contains blocks with the historical rule data for all rules in the recording rule files. We provide precompiled binaries for most official Prometheus components. A late answer for others' benefit too: If you're wanting to just monitor the percentage of CPU that the prometheus process uses, you can use process_cpu_seconds_total, e.g. to your account. environments. Federation is not meant to be a all metrics replication method to a central Prometheus. To start with I took a profile of a Prometheus 2.9.2 ingesting from a single target with 100k unique time series: of deleting the data immediately from the chunk segments). This allows not only for the various data structures the series itself appears in, but also for samples from a reasonable scrape interval, and remote write. . For a list of trademarks of The Linux Foundation, please see our Trademark Usage page. I have instal Once moved, the new blocks will merge with existing blocks when the next compaction runs. This library provides HTTP request metrics to export into Prometheus. All rights reserved. For a list of trademarks of The Linux Foundation, please see our Trademark Usage page. The current block for incoming samples is kept in memory and is not fully CPU usage Expired block cleanup happens in the background. for that window of time, a metadata file, and an index file (which indexes metric names At least 4 GB of memory. Identify those arcade games from a 1983 Brazilian music video, Redoing the align environment with a specific formatting, Linear Algebra - Linear transformation question. privacy statement. something like: avg by (instance) (irate (process_cpu_seconds_total {job="prometheus"} [1m])) However, if you want a general monitor of the machine CPU as I suspect you . So it seems that the only way to reduce the memory and CPU usage of the local prometheus is to reduce the scrape_interval of both the local prometheus and the central prometheus? Does Counterspell prevent from any further spells being cast on a given turn? To subscribe to this RSS feed, copy and paste this URL into your RSS reader. The local prometheus gets metrics from different metrics endpoints inside a kubernetes cluster, while the remote . Ztunnel is designed to focus on a small set of features for your workloads in ambient mesh such as mTLS, authentication, L4 authorization and telemetry .