Prometheus reduce memory usage Jun 12, 2023 · See if the following link will help you in finding the cuase of the memory usage you will need to run the tools described on this page as the root cause is probably how may labels you have in memory. 11. Feb 11, 2025 · Hi! I’m using Prometheus in my homelab Kubernetes cluster and I noticed that it has quite high memory usage (~1GB). Sep 7, 2020 · The answer is no, Prometheus has been pretty heavily optimised by now and uses only as much RAM as it needs. 1 doesn't have a couple of memory usage improvements we made in the remote write path. But I don’t need those recording rules to be calculated so fast, I want it to use less memory and take longer time to finish the calculation. I see /prometheus/wal directory is at ~12G. If you still see the same issue with 2. The pmm was going down and was raising false alerts for all the servers being monitored, we increased the system resources to 8cpu and 16gb ram and are not facing the issue now Nov 13, 2023 · High Memory and CPU Usage in Prometheus Prometheus can be resource-intensive, mainly when dealing with many metrics or high ingestion rates. Here is a graph from Cortex with block storage, where not only the memory usage is reduced, but so are the spikes in memory every 2 hours. Did you expect to see some different? Expected lower memory usage, considering the number of pods monit Jun 14, 2019 · If you're seeing that much of a memory usage difference between 2. If you need reducing memory usage for Prometheus, then the following actions can help: Increasing scrape_interval in Prometheus configs. Keep only essential metrics and labels. vmagent memory footprint was significantly lower and hasn’t changed since the previous test. 29. Feb 15, 2022 · Ingestion Memory - memory used by Prometheus to ingest data - load and process it from targets? Do I understand correctly Cardinality Memory and Ingestion Memory? Is my calculation process correct? Is there better way how to estimate memory for Prometheus? Using Prometheus in docker prometheus:v2. Jun 16, 2024 · Hi everyone, I need help with the constantly increasing CPU usage on our Prometheus server (v2. 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. One specific tenant is continuously growing, and we can’t seem to stop this growth in terms of resources. Jan 11, 2016 · I'm seeing an issue when running prometheus, it's currently using more CPU than it has in the past and more than i would expect it to. Class Loading and Reflection Nov 25, 2021 · This helped us identify the memory-hogging metrics, lower the usage, and stabilize Prometheus because it wasn’t pushing out the infra node in the cluster out of memory occasionally. A common solution is to Jun 18, 2019 · I thought about calculating the 0. Jan 22, 2025 · By effectively tracking CPU and memory usage, you can troubleshoot performance issues, optimize application performance, and reduce costs by preventing resource over-provisioning. Accordingly to prometheus_operator_managed_resources, 16 services and pods are monitored. This lack of detail forces you to investigate dashboards or logs to identify the problematic instance, adding delays to your response time. Feb 9, 2022 · Memory usage graphs showed the RAM growing steadily over a period of about 5 hours; at that point, it was under so much memory pressure I couldn't log in to diagnose, and was forced to reboot. However, by aggregating data to the job level, it obscures which specific instance is causing the high memory usage. The advantage of doing this is that memory-mapped chunks don’t use memory unless TSDB needs to read them. When turned on, you can control how much memory (RAM) the browser can use Jan 2, 2017 · A common question around Prometheus client libraries is how much RAM they'll use on a busy process. NET Core 3. 4g to 5. Is there a better cache indicator expiration strategy? Jun 10, 2020 · The improvements are not limited to Prometheus. Labels in metrics have more impact on the memory usage than the metrics itself. What we learned. Oct 23, 2024 · Monitor Metaspace and Off-Heap Usage: Regularly monitor metaspace, off-heap memory, and native memory usage to detect unusual growth patterns. Oct 30, 2018 · I am new to Prometheus and Micrometer. However since node_exporter is only returning the overall RAM on the host, not per-container, I can't tell which of the many containers running on that . My server has 2GB memory and there are other services running on this machine. Find min/max/average memory used by pod using promethus. For each series in the WAL, the remote write code caches a mapping of series ID to label values, causing large amounts of series churn to significantly increase memory usage. Do note that it would also still be necessary for the samples currently being sent by a worker to be finished before a request with data from a moved queue can be sent. This can be done by adjusting the --storage. Importance of Monitoring CPU and Memory Usage. Jul 25, 2024 · To calculate the memory usage percentage for the web-app pod, let’s leverage two key metrics: container_memory_working_set_bytes and kube_pod_container_resource_limits. retention. Promtheus TSDB tunning: Increase scrape intervals to reduce data volume. Upgrading to newer releases can often provide Oct 7, 2021 · After I removed the prometheus golang client and stopped collecting metrics, I found that the service memory usage dropped from 600MB to 300MB. 9. GitLab Rails uses jemalloc as a memory allocator. Sep 28, 2024 · Recently, we encountered this issue: high memory usage was slowing down our monitoring system, prompting us to take action. 0 May 6, 2019 · Prometheus 2. Reducing the number of scrape targets and/or scraped metrics per target. Path: Copied! Products Open Source Solutions Learn Docs Pricing; Jul 10, 2019 · The increase in memory usage in the graph you posted above may be related to an issue I fixed in . 3. If it's possible I'd like to limit prometheus memory usage. Configure how GitLab handles memory. (all internal to Prometheus). 10. 5. Monitoring CPU and memory usage in Kubernetes is crucial for various reasons: I installed Prometheus Operator via Kube Prometheus Stack. The 70% warning will be suppressed with inhibition since it is redundant when the critical 90% alert is already firing. Use --storage. The Go profiler is a nice Feb 16, 2018 · How do I write a query that outputs average memory usage for instances over the past 24 hours? The following query displays the current memory usage 100 * (1 - ((node Dec 1, 2023 · In my prometheus server, I have 2000-4000 recording rules calculated per 5 minutes. This time I'm also going to take into account the cost of cardinality in the head block. According to [1] we should have a max block duration around 1-2% of the retention period, therefore we set it to 7 days. container_memory_usage_bytes. To reduce the memory usage of remote write, you could reduce the max # of shards or max samples per send, or add relabel rules to drop some metrics from remote write. tmp files but that Mar 3, 2023 · Since all these chunks are stored in memory Prometheus will try to reduce memory usage by writing them to disk and memory-mapping. Nov 20, 2024 · For example, if you've set up your Prometheus server to warn at 70% memory usage and alert at 90%, you will get two alerts if your application rapidly spikes to 95%. Nov 4, 2024 · We are using Prometheus as the monitoring component in our Kubernetes cluster to observe incoming requests to our pods and assist in autoscaling when requests exceed the predefined threshold. So it is possible for you to see an Jan 10, 2021 · The process_resident_memory_bytes metric that prometheus exposes do not really reflect the memory usage of prometheus, this metric may indicate on a higher memory usage then the prometheus is actually using. Feb 26, 2019 · I have installed Prometheus on google Cloud through the gcloud default applications. [1] prometheus/prometheus#4110 Feb 17, 2025 · How to use Resource controls in Microsoft Edge to limit RAM usage. May 12, 2023 · @vermaprateek695 i would recommend adding a filter strategy in to the target allocator configuration which will drop targets that aren't being scraped which should help reduce memory usage. Resource controls is a new feature of Microsoft Edge. - alert: P1 - Percentage of heap memory usage on environment mor Nov 2, 2022 · While Prometheus is running, the memory usage is +- 8gb. Prometheus Jul 19, 2019 · I'm assuming it's OOM'ing every 2 hours or so when truncation/checkpointing happens, which will increase memory usage while those processes occur. The dashboards automatically got deployed with the installation. Reduce the Retention Period. >1 year), and the max block duration is not set (which defaults to 10% of the retention period). Older data blocks are mmaped from disk, so the OS has more control here over what data to page in/out based on memory pressure, so there's more elasticity there. These managed pieces are divided in "heap" and "non-heap" (the area tag) on a first level and can be further drilled down into by the id tag. Due to several improvements I made as a consequence of these loadtests, these results apply only to Prometheus 1. To see which series use the most memory, you can check the TSDB (time series database) status page in the Prometheus UI. It reports all the containers ok if we using this query: (container_memory_usage_bytes / container_spec_memory_limit_bytes) * 100 > 90 However works ok if container does not have a memory limit defined. It is wise to reduce the retention size to provide a buffer, ensuring that older entries will be removed before the allocated storage for Prometheus becomes full. Can someone help with the expressions for these scenarios? How to reduce the use of Prometheus active series. Identify anomalies and reduce toil. This follows my previous… we spent some day working on a prometheus installation and we found that we "leave" too many labels for the metrics, some are even duplicates. com/2021/03/03/prometheus-memory/ Nov 4, 2024 · For Prometheus to scrape request metrics, we annotate the pods as needed. If it runs out of memory, we’re not monitoring our infrastructure anymore. May 13, 2019 · This article explains why Prometheus may use big amounts of memory during data ingestion. Apr 14, 2020 · Memory Usage: When scraped by Prometheus, this store will read all these files, get all the values and aggregate them. So what is the problem? In one (only one!) of our environments, Prometheus needs a LOT of memory during startup: Dec 20, 2021 · The problem is: when I am running my app in a docker container locally, it shows pretty good results, but when I am doing stress test in a kubernetes cluster I see high memory usage by pod where my app is running. However, even after removing certain annotations, we are not seeing a significant reduction in memory usage—only a minimal decrease. Photo by Markus Spiske on Unsplash. Base The Prometheus monitoring system and time series database. Environment. Oct 29, 2024 · One potential solution could be allocating more memory to Prometheus and analyzing why the WAL is getting clogged up. I thought that it is a memory leak and checked docker stats while stresstesting my app locally and it was using 80-90 MiB of ram. 7. But, you can remediate the memory issue by tunning Prometheus TSDB or Horizontal scaling it. Using remote write increases the memory footprint of Prometheus. Prometheus in kubernetes 1. We have 3 environments (1 Prometheus for each environment) and the memory usage is +- the same across all, nothing wrong here. jemalloc preallocates memory in bigger chunks that are also being held for longer periods in order to improve performance All groups and messages The Prometheus monitoring system and time series database. Jun 12, 2023 · I am using Prometheus v2. - Reduce memSeries memory usage by decoupling metadata · prometheus/prometheus@7be071c Apr 24, 2018 · Some Prometheus users reported high CPU and memory usage if high retention periods are used (e. 5 servicing release, where the native buffer allocation pattern in EventPipe was causing an internal heap fragmentation in glibc's internal data structure used in the implementation of malloc. I was able to achieve a significant reduction in what “Top 10 series count by metric names” reports (and I also ran topk(20, count by (__name__, job Jan 17, 2024 · So, if the system constantly reaches high memory usage even on idle, I recommend upgrading your RAM. Memory usage was still high at 45G. Apr 26, 2023 · In this article, I will explain how I analyzed and configured my Prometheus setup in order to significantly reduce its resource usage and worked around cardinality issues. 1, please try again with 2. Then we find the number of goroutines is growing with the memory usage: Then we hacked the prometheus golang client lib to use only 1 go routine in Gather(): Oct 2, 2020 · Looking for example how to monitor Container Memory Usage with Prometheus. Prometheus version: 2. Its large memory requirements lead to it being a single risky point of failure. x. Nov 17, 2020 · Learn some tricks to analyze and optimize the usage that you are doing of the TSDB and save money on your cloud deployment. Oct 15, 2020 · Memory-mapping full chunks of head block offloads the chunks to disk regularly and only loads them in the memory when required — hence effectively reducing the memory usage. time to shorten data retention. Mar 5, 2019 · Get total memory usage per node in prometheus. To use it against a local Prometheus server to investigate memory usage, ensure you have a working Go install and then run: Steps to Fix High Memory Usage 1. Sep 12, 2019 · What happened? The cached memory usage of the prometheus operator pods has been gradually increasing over time. Jan 23, 2019 · From your question, I think you actually are not looking for "memory usage of the Java Garbage Collector" but actually for the managed memory usage of the JVM. Yesterday, I spent some time trying to optimise it by deleting metrics I wasn’t using, mostly default Kubernetes ones. Jan 24, 2021 · Accordingly to prometheus_operator_managed_resources, 16 services and pods are monitored. 1), which I’ve been struggling with recently. Mean memory usage (RSS) of Grafana Agent was 30% higher than memory usage of Prometheus agent. P. S. 3g then crashed If there’s anyway to reduce memory usage of Prometheus or my Jan 21, 2024 · I'm setting up Grafana alerts and need guidance on the conditions. For example, here is a screenshot of the prometheus container we have running: Here is the config we are using to run prometheus: After I removed the prometheus golang client and stopped collecting metrics, I found that the service memory usage dropped from 600MB to 300MB. 5. Memory usage is around 420-440MiB. For Prometheus to scrape request metrics, we annotate the pods as needed. In our organization, we run Prometheus for several tenants, deployed via Prometheus Operator in a Kubernetes cluster. System information: Standard docker containers, on docker kubelet on linux. 10k series Prometheus metrics; 500 VUh k6 testing; 50 GB logs, traces, and profiles Monitor Pod CPU and Memory usage. Each tenant has a pair Aug 26, 2019 · The container is configured for a 120GB memory limit. Upgrade at 09:27, the memory usage drops on the graph after then are from container restarts due to OOM. 1. This way, you will have free memory available when necessary. 10 please open a new issue and I'll be happy to dig into it with you. tsdb. 2. Below, I’ve included our current Prometheus configuration for review. - Storage: reduce memory allocations when merging series sets · prometheus/prometheus@22e1a4d . We have notice this can have a noticeable effect on memory usage for your app. I want two separate alerts to trigger if, over the last 10 minutes, the average CPU usage in any pod (across all namespaces) exceeds 90% of the respective pod's CPU limit, and similarly for Memory usage. time flag in your Prometheus configuration. Everytime I delete the wal, The memory usage occpied by Prometheus will increase from 4. We recommend you test this in a realistic usage scenario to make sure you won't hit any memory limits your app may have. g. Your system uses virtual memory, taken from the storage devices, to store unused excess data from the RAM. x head blocks. From this I've been able to distil some simple rules to help guide you in sizing your Prometheus for ingestion. We are not sure 100% by but we think its related to Golang implementation and OS kernel behavior of releasing memory. One of the first steps to mitigate high memory usage is to reduce the retention period for your metrics. If adding more RAM is not possible, you can always increase VRAM. Screenshots below. 2 ingesting from a single target with 100k unique time series: Jun 15, 2018 · Right now Prometheus service's memory usage is increasing constantly as time goes by. I have removed all *. May 6, 2020 · Prometheus deployed on kubernetes using prometheus operator is eating too much memory and it is at present at ~12G. Double check this figure, I scaled the operator deployment to 0, and indeed, the total system usage was reduced by this much. Furthermore, I want to display CPU and memory utilization of application/component in below format using promql promql Reduce harvest time by lowering emitter_harvest_period. Memory seen by Docker is not the memory really used by Prometheus. I tried to reduce the cache memory but Oct 29, 2024 · Track Memory Usage: v1/status/tsdb # Monitor memory usage in real-time container_memory_usage_bytes{container="prometheus"} labels and reduce unnecessary ones May 8, 2020 · I think that would be a reasonable approach, but as you say, analyze total queue capacity and memory usage since many Prometheus instances rarely/never run at max shards. x, with many performance improvements. Is there any parameter can control the memory usage of recording rules calculation? Or any metric can Oct 7, 2021 · After I removed the prometheus golang client and stopped collecting metrics, I found that the service memory usage dropped from 600MB to 300MB. https://source. It is notable that both Grafana Agent and Prometheus Agent memory usage fluctuated every 10 minutes, while vmagent memory usage was stable. Mar 13, 2019 · For CPU percentage. Mar 3, 2021 · Pod memory usage was immediately halved after deploying our optimization and is now at 8Gb, which represents a 375% improvement of the memory usage. You might see your system's memory usage spiking or receive alerts like container_memory_usage_bytes that indicate Prometheus is using more memory than allocated. Jan 15, 2025 · This rule calculates average memory usage for each job and alerts if usage exceeds 90%. As you can see, the usage went from around 24G of memory usage down to approximately 14G, which is much more practical. 41. Currently it's ~15GB. Mar 18, 2020 · While most organizations don’t have this many series, we increasingly need to vertically scale the node that runs Prometheus to deal with growing memory usage. At present, we recommend setting the retention size to, at most, 80-85% of your allocated Prometheus disk space. May 16, 2023 · Hello！ I’m using docker-compose to run a single Prometheus, everything goes well in the first two weeks; then I saw the Prometheus container restart while grafana and alertmanager container were up in a few days. How to reduce the use of Prometheus active series. Is there a better cache indicator expiration strategy? Jun 12, 2017 · Little late to the game here, but I suffered the same issue with a containerised Spring Boot application on Docker. Jun 12, 2018 · Memory usage, possibly driven by queries, has considerably increased. 0 for monitoring a large environment of nodes，I've noticed that the Prometheus process consumes more and more memory，How should I limit the memory of Prometheus? Thanks! Aug 22, 2022 · dashpole changed the title Reduce memory usage of Prometheus Receiver start time tracking Reduce memory usage of Prometheus Receiver caches Aug 22, 2022 This was referenced Aug 22, 2022 Understanding high memory usage of otelcol (prometheusreceiver / prometheusexporter) #9998 Mar 27, 2024 · Memory usage graph. 8. 2 and 2. GitLab consists of many components (written in Ruby and Go), with GitLab Rails being the biggest one and consuming the most of memory. Optimize Storage and Scraping: Regularly optimize Prometheus' storage, scraping, and remote write configurations to reduce memory usage. Aug 9, 2016 · Not sure what the memory bytes/sample or bytes/series roughly is for Prometheus 2. And with having chunks on disk, we can skip a lot of samples from the WAL during replay and reduce the restart time. 95 percentile every x time (let's say 30min) and label it p95_memory_usage and in the query use p95_memory_usage instead of container_memory_usage_bytes, so that i can reduce the amount of points the query has to go through. ) Since metrics are sent more often, memory consumption is reduced. However, even after removing certain annotations, we are not seeing a significant reduction in memory usage—only a minimal Aug 23, 2023 · To reduce memory consumption, Prometheus can be configured to store fewer time series, by scraping fewer metrics or by attaching fewer labels to the time series. May 13, 2019 · This article explains why Prometheus may use big amounts of memory during data ingestion. container_memory_rss relation with node memory used. Nov 23, 2021 · Memory usage is reduced a little. The bare minimum you'll get away with is around 72M total memory on the simplest of Spring Boot applications with a single controller and embedded Tomcat. Other projects in the Prometheus ecosystem like Cortex and Thanos, which import the Prometheus TSDB, also benefit from this change. Nov 30, 2021 · I'm using Prometheus 2. I am trying to alert when the heap memory usage of the JVM is exceeding a certain treshold. In previous posts, we discussed how the storage layer worked for Prometheus and how effective it was. Collect metrics less frequently by increasing scrape_duration to reduce both memory consumption and CPU usage. There tends to be disbelief when we say it's the same as an inactive server. 14. I can see that the spikes in process_resident_memory_bytes are matched by increases in go_memstats_heap_alloc_bytes and the recovery (when it recovers and doesn't OOM) results in an an increase in go_memstats_heap_released_bytes as memory is freed and an increase in go_memstats_gc_sys_bytes Aug 10, 2020 · I want to display pod details in the following format using promql/Prometheus. Essentially, we need to investigate what changed to suddenly cause this spike in memory usage in our once serene environment. Is there a better cache indicator expiration strategy? Prometheus is linked with pprof, a Go profiling tool that makes it easy to look at CPU and memory usage. Most users report ~25% increased memory usage, but that number is dependent on the shape of the data. Nov 4, 2024 · For Prometheus to scrape request metrics, we annotate the pods as needed. x has a very different ingestion system to 1. coveo. Oct 29, 2024 · Running Prometheus close to its memory limit is risky due to dynamic garbage collection and limited room for unexpected cardinality spikes or queries. 0 installed via the kube-prometheus-stack helm chart with the following values: prometheus: prometheusSpec: retention: 30d retentionSize: 49GiB storageSpec TLDR: You can't set a maximum memory usage for Prometheus. Proposal by adding the following configuration we can remove some of the label which have high Jan 30, 2020 · The ram and cpu usage were for prometheus process, the pmm is running on a dedicated remote machine. (The default value is 1s, and the interval cannot be smaller than 200ms. The Head Chunk is never memory-mapped, it’s always stored in memory. The first metric provides the current memory usage in bytes, while the second gives us the memory limits configured for the pod. 7. 50. We've also found that increasing the time that the collector is pulling configuration from the target allocator decreases target allocator memory usage. For example, to set the retention period to 15 days, you can modify your Feb 8, 2025 · Hi Team, I am new to Prometheus I have written PromQL to calculate cpu and memory usage when it is more than 80% CPU Usage Expression sum(rate(container_cpu_usage Aug 1, 2017 · We find that using statsd_exporter, the memory usage always grows and the average memory used by each metric doesn't feel right. When it is calculated, I can see a spike of Memory usage as below. Our goal was clear: clean up our metrics by removing unnecessary ones. avg((sum (rate (container_cpu_usage_seconds_total {container_name!="" ,pod="<Pod name>" } [5m])) by (namespace , pod, container ) / on (container Jan 9, 2017 · I've been doing loadtests to better understand how Prometheus behaves in both big and small deployments. To start with I took a profile of a Prometheus 2.
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