Victoriametrics vs prometheus. But Thanos is the most popular among these.

Victoriametrics vs prometheus VictoriaMetrics 集群版包含以下几个核心组件：. Which one should you choose? vmagent is a tiny agent which helps you collect metrics from various sources, relabel and filter the collected metrics and store them in VictoriaMetrics or any other storage systems via Prometheus remote_write protocol or via VictoriaMetrics remote_write protocol. VictoriaMetrics Database Solutions. Prometheus vs. Furthermore, would recommend Grafana Agent OR Prometheus Agent in this case since you probably don't need the It is about open-source instruments and techniques from the VictoriaMetrics ecosystem for improving cost-efficiency of monitoring. Prometheus does store data and does it very well) The only limitation of Prometheus is that it can't be scaled "horizontally". Example Use Case: High VictoriaMetrics Cloud takes the manual work out of Time Series database management. The engineering team did a great job by taking the best from Cortex TSDB, reducing its complexity and improving scalability in the same time. VictoriaMetrics Pricing | From Free Forever to VictoriaMetrics Enterprise Plans, Find the Plan That Best Meets Your Requirements & See the Full Features List. Modify data # VictoriaMetrics stores time series data in MergeTree-like data structures. Prometheus has been the standard way to watch Kubernetes and cloud-native apps for a long time. Prometheus Agent Mode vs. Compatibility with Prometheus: It supports the Prometheus remote write and read protocols, making it easy for existing Prometheus users to migrate. An arbitrary time range can be set via start and end query args. Dynamic Content: Which Should Developers Favor? Feb 18th 2025 12:24pm, by Alexander T. Victoria Metrics vs. Update #3: Read yet another article — Measuring vertical scalability for time series databases in Google Cloud. VictoriaMetrics — general information on both systems; Prometheus vs VictoriaMetrics benchmark on node_exporter metrics — VictoriaMetrics uses much less disk and memory (and ChatGPT also says that VictoriaMetrics uses less disk for data storage as well) VictoriaMetrics implements MetricsQL - query language inspired by PromQL. When the ecosystem grows fast, however, it now has problems: Not highly available; Not scalable, scaling is too complex and not efficient; Data retention is too short (14 days) due to performance dramatically decreasing and scaling . Related Products New Relic. My first test will focus on memory efficiency. VictoriaMetrics — general information on both systems; Prometheus vs VictoriaMetrics benchmark on node_exporter metrics — VictoriaMetrics uses much less disk and memory (and ChatGPT also says that VictoriaMetrics uses less disk for data storage as well) What is the difference between vmagent and I just recently noticed a problem with my long term storage and after some digging around I realized my InfluxDB container must have, at some point, updated to 2. I agree that this comparison is not actually “apples to apples”. Update#2: Read the next article — High-cardinality TSDB benchmarks: VictoriaMetrics vs TimescaleDB vs InfluxDB. Other PDF SDKs promise a lot - then break. VictoriaLogs is GA - Try it out now! Just point your Prometheus datasource to the VictoriaMetrics Cloud deployment. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. ; High data compression: 70x more data points may be stored into Prometheus vs. Timescaledb. Static vs. VictoriaLogs is GA - Try it out now! This website uses strictly Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Prometheus – one of the first Graduate CNCF projects – is the go-to solution for collecting application and platform metrics, as well as short-term storage. It is recommended to use the single-node version instead of the cluster version for ingestion rates lower than a million data points per second. Prometheus retains active time series data in memory during the compaction window. It was good at that time. We made the switch from ~10 per-cluster Prometheus instances to a big VictoriaMetrics instance which now ingests metrics from ~46 clusters. Incl. According to tests by Grafana Labs, Mimir can scale to a billion active time series and 50 million samples/s ingestion rate. ) is required when migrating from Prometheus instead of manually InfluxDB vs VictoriaMetrics A detailed comparison Compare InfluxDB and VictoriaMetrics for time series and OLAP workloads Learn About Time Series Databases. VM for small-scale monitoring architectures. As every company becomes a System Properties Comparison Prometheus vs. With its If you still want capturing spikes on volatile counters, then set up VictoriaMetrics as a remote storage for Prometheus and then query VictoriaMetrics with rollup_rate() function from MetricsQL. Providers of DBaaS offerings, please contact us to be listed. As I went through many monitoring tools recently, I found that Prometheus is a de facto standard. Isolated Environments. In the question“What are the best time-series databases and/or data stores?” Prometheus is ranked 2nd while VictoriaMetrics is ranked 4th. ; Highly scalable and performance for data ingestion and querying, 20x outperforms InfluxDB and TimescaleDB. Our scrape. It's basically a REST API where your clusters will push metrics to, and each cluster will have a Prometheus that will point to your Mimir/Cortex Loadbalancer in the remote_write config section. io/scrape, prometheus. Both VictoriaMetrics (VM) and Prometheus are convenient tools for working with metrics. 5min Range. Discover their strengths in data processing, cost efficiency, and scalability. Here’s a VictoriaMetrics and Prometheus are both time-series databases used for monitoring and analytics, but they have some key differences: Main features of VictoriaMetrics Compared to Prometheus. These are all long term storage and scaling extensions for Prometheus effectively. Scales easily to manage large datasets. Prometheus, on the other If you require long-term data retention, scalability, and compatibility with the Prometheus ecosystem, VictoriaMetrics is a compelling choice. Some form of As VictoriaMetrics claims it, it is more storage and memory efficient. cluster. VictoriaMetrics Cloud provides secure, dedicated resources for each Performance and Cost Comparison: Prometheus vs. For that, I will use avalanche which allows to generate lots of metrics with few hosts. But for certain Kubernetes setups, it might be all you need. In this case, as you can see, Prometheus shows no data while VictoriaMetrics provides data our prometheus indicators mainly consisted of not having many tags for the same series, such as pulsar cluster monitoring, which had multiple topic tags for one series, resulting in many series, there are One hundred thousand topic Prometheus vs VictoriaMetrics. At least from the way it is working. VictoriaMetrics agent, or vmagent, is a lightweight tool designed to gather metrics from a number of different sources. There are a lot of time series databases, such as Prometheus, M3DB, TimescaleDB, OpenTSDB, InfluxDB, and so on. The specified start. A detailed comparison between the cloud native time series databases. Let’s create a dashboard in When comparing Prometheus vs VictoriaMetrics, the Slant community recommends Prometheus for most people. end time range is rounded to UTC day granularity because of performance reasons. VictoriaMetrics: Higher Our visitors often compare Prometheus and VictoriaMetrics with InfluxDB, ClickHouse and TimescaleDB. The latest version of VictoriaMetrics continues to set the standard for performance, scalability, and cost-effectiveness in the TSDB landscape. The benchmark required It’s not a full monitoring solution like Prometheus or VictoriaMetrics — it’s more of a data-forwarding agent. Prometheus is one of the most popular monitoring systems and time series databases, designed for reliability and Grafana Labs Mimir is a new time series database under AGPLv3-license. This made possible to run apples-to-apples benchmark, which compares resource usage for Prometheus Thanos, Cortex, and Mimir are the competitors to VictoriaMetrics. With some Save network bandwidth costs when transferring data to VictoriaMetrics starting from v1. The max size of a log record VictoriaLogs can accept during data ingestion is 2MB, because log records are stored in Integrating VictoriaMetrics with OpenCost # Example deployment of OpenCost with VictoriaMetrics will be using the OpenCost Helm chart to deploy OpenCost and victoria-metrics-k8s-stack Helm chart to deploy VictoriaMetrics and monitoring components. The difference is in the used data storage types - VictoriaMetrics stores data to persistent disks (aka block storage), while Grafana Mimir stores data to S3-like object storage. Thanos addresses these issues with Prometheus and is the ideal solution for scaling Prometheus in environments with extensive metrics or multiple clusters where we require a global view of historical metrics. System Properties Comparison InfluxDB vs. See Quick Start for details. Just set up VictoriaMetrics as a remote storage and stop bothering about local storage operational issues such as backups, replication, capacity planning and other maintenance burdens. Thanos bases itself on vanilla Prometheus I've figured out that Prometheus doesn't store data. Incredibly fast time series database and easy-to-use high performance monitoring solutions simple and reliable for everyone. AWS, Prometheus, SaaS, Cloud Monitoring, all managed for you. Motivation # While VictoriaMetrics provides an efficient solution to store and observe metrics, Highly recommend the Mimir/Cortex architecture in this case. The single-node version scales perfectly with the number of CPU cores, RAM and available VictoriaMetrics supports ingesting data from Prometheus via the Prometheus remote write protocol. One of Mimir’s guarantees is 100% compatibility with PromQL, which it achieves by reusing There are many Projects like Thanos, M3, Cortex, and Victoriametrics. ; consul_sd_configs is for Thanos deployments use more Prometheus features in a seamless integration, making Prometheus an integral foundation for collecting metrics and alerting when using Thanos for scaling. It works not so optimal with log records exceeding 100KB. Here’s a comparison of the two: Prometheus. We deployed a few vmagent nodes per datacenter, those are responsible for collecting metrics from that datacenter and forwarding them to the VictoriaMetrics clusters abroad. But Thanos is the most popular among these. Every scrape config in the list must contain job_name field - its’ value is used as job label in all Anybody who uses Prometheus. 88. VictoriaMetrics is an open-source time-series database and monitoring solution designed for collecting, storing, and analyzing high volumes of time-series data. The Alloy configuration file can be found in the following location depending on your platform: Linux: /etc/alloy/config. Its main responsibilities include gathering data through scraping, executing predefined rules, and presenting the resultant data on dashboards for querying and visualization. Documentation for the cluster version of VictoriaMetrics is available here. VictoriaMetrics Comparison Chart. Before making your decision, it's advisable to conduct your benchmarks with your The scrape_configs section contains a list of scrape configs. In benchmarking tests, VictoriaMetrics typically uses less memory and CPU to VictoriaMetrics is a high-performance opensource time series database specifically designed to deal with huge volumes of monitoring data while remaining cost-efficient at the same time. It is even a so strong RSS Memory usage: VictoriaMetrics vs Prometheus. In VictoriaMetrics Cloud you pay for compute resources regardless of the Thanos: Uses PromQL, the same query language as Prometheus and Prometheus API. See these docs. A Comparison with the Story of Prometheus. Prometheus¶ Resource Utilization: Victoria Metrics is more memory and CPU efficient than Prometheus, making it a cost-effective solution. If you don't have much Both Prometheus and VictoriaMetrics offer unique advantages and disadvantages, making them suitable for different use cases. High Availability and Reliability. It works OK with log records of up to 100KB. For more in-depth details on the specs used for the above test check out the article mentioned. Update #4: Intro. References # Prometheus configuration documentation; Prometheus Helm chart values; Prometheus Feature Flags Mimir vs VictoriaMetrics A detailed comparison Compare Mimir and VictoriaMetrics for time series and OLAP workloads Learn About Time Series Databases. vmagent and single-node VictoriaMetrics can efficiently process thousands of scrape configs in production. Observability. Auto-discovery for prometheus. We are using Promxy to deduplicate metrics from both instances. Williams. Why It’s Cool: Compatibility with Prometheus: VictoriaMetrics works perfectly with Prometheus and lets you easily switch from Prometheus to VictoriaMetrics. Prometheus, on the other hand, has VictoriaMetrics Database Solutions. io/port, prometheus. x. Even though Victoria Metrics 时序数据库有很多，比如 Prometheus、M3DB、TimescaleDB、OpenTSDB、InfluxDB等等。Prometheus 和 VictoriaMetrics 是开源时间序列数据库，可为复杂 IT 环境中的监控和告警提供强大的解决方案。然而，它们的设计不同，并提供独特的功能，这些功能可能会影响其性能、 Provides effortless compatibility with Prometheus for easy integration. Read. On average, the ingestion rate for both Prometheus and VictoriaMetrics was around ~80 K samples/second: Ingestion rate of samples/s into VictoriaMetrics and Prometheus during the benchmark. Compare their performance, scalability, and query languages for time series data. Comparing Prometheus vs. io-annotations (such as prometheus. About VictoriaMetrics . Will VictoriaMetrics remain free like Prometheus? Yes, VictoriaMetrics will remain open source. Please select another system to include it in the comparison. io/blog/prometheu s-vs-victoriametrics/ GreptimeDB vs. Comparing Performance and Resource Usage: Grafana Agent vs. Prometheus and VictoriaMetrics are open-source time-series databases that provide robust solutions for monitoring and alerting in complex IT environments. Both storage types - block storage and object storage - can be used for long-term storage. ) for long-term data and has replication features for its Both VictoriaMetrics and Grafana Mimir perfectly fit for long-term storage for Prometheus data. They have the Some good benchmarks VictoriaMetrics achieved: Minimal memory footprint: handling millions of unique timeseries with 10x less RAM than InfluxDB, up to 7x less RAM than Prometheus, Thanos or Cortex. VictoriaMetrics – general information on both systems; Prometheus vs VictoriaMetrics benchmark on node_exporter metrics – VictoriaMetrics uses much less disk and memory (and ChatGPT also says that VictoriaMetrics uses less disk for data storage as well) What is the difference between vmagent and VictoriaMetrics is a fast, cost-effective and scalable monitoring solution and time series database. Learn more about key concepts of VictoriaMetrics and follow Supported service discovery configs. io/path, etc. Choosing the right database is a critical choice when building any software application. yaml file contains two scrape configs - for job_name: node-exporter and for job_name: victoriametrics. However, they are designed differently and offer unique features that can Learn how Prometheus and VictoriaMetrics differ in terms of database model, architecture, features, use cases, and pricing. are there potential trade-offs to consider? VictoriaMetrics has a different point of view on some PromQL design decisions. Prometheus compresses data using a combination of delta encoding and variable-byte encoding. VictoriaMetrics vmagent. It also has more features and better speed. As every company becomes a software company, engineers are using New Collecting metrics and forwarding them to VictoriaMetrics using Prometheus scraping and remote writing is more straightforward, but using OpenTelemetry enables more complex processing operations to occur before sending data to VictoriaMetrics. Editorial information provided by DB-Engines; Name: InfluxDB X exclude from comparison: Prometheus X exclude from comparison: VictoriaMetrics X exclude from comparison; Description: DBMS for storing time series, events VictoriaMetrics is a fast, cost-effective and scalable time series database. What length a log record is expected to have? # VictoriaLogs works optimally with log records of up to 10KB. You can use vmctl for migrating your data from Prometheus to VictoriaMetrics. Scales Up or Down With Just a Few Clicks. VictoriaMetrics. by Zakhar Bessarab on Mar 27, 2024. Conclusion. Prometheus vs VictoriaMetrics benchmark on node_exporter metrics; When size matters — benchmarking VictoriaMetrics vs Timescale and InfluxDB; Comparing Thanos to VictoriaMetrics cluster; We also wanted to keep the Prometheus language: PromQL in order to keep our Grafana dashboards and all our Prometheus alerts. Zabbix Comparison Chart. But which one is more cost-effective? Such tests were conducted on Google Compute Engine at the Prometheus和VictoriaMetrics是开源的时间序列数据库，在复杂的环境中提供了强大的监控和警报解决方案。然而，它们的设计不同，并提供了独特的功能，这些功能可能会影响它们在监视工作负载方面的性能、可扩展性和易用性。 https:// last9. io annotations # There is a scenario where auto-discovery using prometheus. The differences in the graphs come from the fact it is two separate instances running similar workloads rather than the same data in both data stores. Zabbix + Learn More Update Features. Currently, such users should carefully manage persistent volumes for Prometheus local storage. For 1 hour range, we get high enough resolution for both Prometheus and VictoriaMetrics display data. Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers. We compared the performance and resource usage of Earlier this year we introduced the world to Grafana Mimir, a highly scalable open source time series database for Prometheus. It can be used as a long-term remote storage for Prometheus. Users deploying Prometheus in Kubernetes. Prometheus excels in its rich ecosystem and Recently single-node VictoriaMetrics gained support for scraping Prometheus targets. Prometheus. It is optimized By default, VictoriaMetrics returns time series seen during the last day starting at 00:00 UTC because of performance reasons. alloy; Take a look also at Prometheus vs VictoriaMetrics benchmark. The VictoriaMetrics cluster box alongside Load balancer boxes on the image above may run in Kubernetes and may be managed by Helm chart. To illustrate the benefits of VictoriaMetrics in AWS EKS, let’s compare it to Prometheus in terms of resource usage and cost. MetricsQL is backwards-compatible with PromQL, so Grafana dashboards backed by Prometheus datasource should work the same after switching from Prometheus to VictoriaMetrics. Then read Prometheus setup and Grafana setup docs. At present, Prometheus functions as a monolithic application, consolidating various operations within a single software entity. vmstorage: 存储数据。; vminsert: 通过 remote write API[14] 接收来自 Prometheus 的数据并将其分布在可用的 vmstorage 节点上。; vmselect: 从 vmstorage 节点获取并聚合所需数据，返回给查询数据的客户端（如 Grafana）。; 每个组件可以使用最合适的硬件配置独立扩展到多个节点。 整体架构图如下： Seamless compatibility: VictoriaMetrics supports the Prometheus remote write/read API, meaning it can easily replace Prometheus storage without needing complex integrations. 2. To overcome this limitation many projects exist: VictoriaMetrics, Thanos, Cortex. This function returns min, avg and max values for per-second rate. Learn more about key concepts of VictoriaMetrics and follow VictoriaMetrics team has done an amazing job redesigning a monitoring tool that uses the commonly used Prometheus-stack monitoring platform but builds-in changes that are appropriate & necessary Or you can ask VictoriaMetrics community in slack chat. However, there are some intentional differences between these two languages. Monitoring. Prometheus and VictoriaMetrics are both open-source monitoring and time series databases, but they have different design philosophies, features, and use cases. It provides long-term storage capabilities for Prometheus, a popular open-source monitoring and alerting system. 06. The resulting price for VictoriaMetrics Cloud is 40 times lower than Amazon Managed Service for Prometheus price, and 228 times lower than Google Cloud Managed Service for Prometheus price for the same workload. VictoriaMetrics is developed at a fast pace, so it is recommended periodically checking the CHANGELOG and performing regular upgrades. 2023 by Middleware Team. If your application is already containerized, Prometheus and Kubernetes are BFF. Each bare metal server had no more than a few metrics — CPU usage, RAM usage, Disk usage and Network usage. Starting VictoriaMetrics Single Node or Cluster on VictoriaMetrics Cloud # The following steps will guide you through starting VictoriaMetrics on VictoriaMetrics. For the VictoriaMetrics, use the following query: Write path. The rate is calculated for each adjacent points, so spikes are reliably captured in min and max values, It’s a prom stack with a Prometheus instance, Grafana, Alermanager, and various types of exporters. Add To Compare. See this doc for more details. Additionally it may be substituted by single-node VictoriaMetrics for those who don’t need horizontal scalability, since single-node version fits the majority of users with small-to-medium Then _msg field is set to foo bar in body. Prometheus remote_write benchmark # Some time ago, Aliaksandr Valialkin published a medium post about comparing VictoriaMetrics and Prometheus resource usage when scraping metrics from thousands of targets. These systems must support Prometheus remote_write API for mimir vs thanos VictoriaMetrics vs Zabbix mimir vs prometheus VictoriaMetrics vs loki mimir vs cortex VictoriaMetrics vs jaeger. Additional information: By implementing this setup, I demonstrated how Prometheus is crucial for real-time monitoring of microservices, while VictoriaMetrics offers a scalable solution for long-term storage and in-depth TSBS had been configured to query Prometheus, which, in turn, queried VictoriaMetrics via remote read API. System Properties Comparison Prometheus vs. VictoriaMetrics, TimescaleDB and InfluxDB have been benchmarked in the previous article on a dataset with a billion datapoints belonging to 40K unique time series. VictoriaMetrics + + Learn More Update Features. Top 5 Uses of WebAssembly for Web Developers KubeCon24: VictoriaMetrics’ Simpler Alternative to Prometheus The open source team behind this observability software package take pride in its VictoriaMetrics & Prometheus Benchmark Current State. A few years ago there was Zabbix epoch. VictoriaLogs is GA Managed Prometheus / VictoriaMetrics: Deploy in Minutes, Write/Read Metrics Instantly. This is why it has a slightly different query language - MetricsQL. local Get the Victoria Metrics insert service VictoriaMetrics. Each Prometheus is scraping all targets so we have all metrics in both VictoriaMetrics instances. Prometheus is a Comparing Prometheus vs. VictoriaMetrics showed lower resource consumption, making it more suitable for resource-constrained environments. While this approach is very efficient for write-heavy databases, it applies some limitations on data updates. Update: we open-sourced realistic Prometheus benchmark, which can be used for comparing performance for various Prometheus-compatible storage solutions such as Promscale, M3DB, Cortex and Thanos — see this announcement. Learn More Update Features. Prometheus vs VictoriaMetrics. Many companies are choosing to migrate from InfluxDB to VictoriaMetrics specifically for performance and scalability reasons. Prometheus provides efficient data retrieval through its powerful query language, PromQL. Thanos: Achieves high availability by relying on object storage (like AWS S3, GCS, Azure, etc. Prometheus stores time series data in a custom on-disk format. VictoriaMetrics Cloud takes the manual work out of Time Series database management. There are an estimated 25 million engineers in the world across dozens of distinct functions. Memory and CPU Usage: VictoriaMetrics is more resource-efficient than Prometheus. Prometheus and VictoriaMetrics are open-source time-series databases that provide robust solutions for monitoring and alerting in complex IT environments. VictoriaMetrics is available in binary releases, Docker images at Docker Hub and Quay, source code. The set of time series that a database recently wrote data VictoriaMetrics cluster architecture. See these The prometheus-benchmark scrapes metrics from node_exporter and pushes the scraped metrics to the configured Prometheus-compatible remote storage systems. azure_sd_configs is for scraping the targets registered in Azure Cloud. 06. Save network bandwidth costs when transferring data to VictoriaMetrics starting from v1. Usually, sum(rate(prometheus_tsdb_head_samples_appended_total[24h])) Note: if you have more than one Prometheus, you need to run this query across all of them and summarise the results. The most important reason people chose Prometheus is: Long-Term Storage: VictoriaMetrics is designed for long-term storage of time-series data, allowing users to retain metrics for extended periods without significant performance degradation. For long-term metrics storage, Prometheus integrates with 28 solutions. VictoriaMetrics vs. VictoriaMetrics (VM) - Scalability, Performance, Integrations. I have personally seen as much as a 50% reduction in memory footprint when VictoriaMetrics supports Prometheus HTTP API which makes it possible to query it with Grafana in the same way as Grafana queries Prometheus. By default, OpenCost assumes that metrics are stored and queried from Prometheus. We have a Prometheus and its ecosystem configured for HA and FT, we have multiple groups of Prometheus instances that are focused on their part of the infrastructure and they are VictoriaMetrics is a fast, cost-effective and scalable monitoring solution and time series database. Once it pulls in all those metrics, vmagent lets you ‘design’ them (through ‘relabeling’) or filter them down (doing things like reducing cardinality, stream aggregation, deduplication, and so on) before shipping them off to wherever you want to store Prometheus vs. All databases have different strengths and weaknesses when it comes to performance, so deciding which database has the most benefits Insert benchmarks with inch: InfluxDB vs VictoriaMetrics; Measuring vertical scalability for time series databases in Google Cloud; Billy: how VictoriaMetrics deals with more than 500 billion rows; First look at performance comparison between InfluxDB IOx and VictoriaMetrics; Prometheus vs VictoriaMetrics benchmark on node-exporter metrics Compatibility with Prometheus: VictoriaMetrics works perfectly with Prometheus and lets you easily switch from Prometheus to VictoriaMetrics. config command-line flag:. vmagent and single-node VictoriaMetrics supports the following Prometheus-compatible service discovery options for Prometheus-compatible scrape targets in the file pointed by -promscrape. default. See case studies for VictoriaMetrics. . However, the benchmark itself was Photo by Bryan Dickerson on Unsplash. Insert benchmarks with inch: InfluxDB vs VictoriaMetrics; Measuring vertical scalability for time series databases in Google Cloud; Billy: how VictoriaMetrics deals with more than 500 billion rows; First look at performance comparison between InfluxDB IOx and VictoriaMetrics; Prometheus vs VictoriaMetrics benchmark on node-exporter metrics NAME: vmcluster LAST DEPLOYED: Thu Jul 1 09:41:57 2021 NAMESPACE: default STATUS: deployed REVISION: 1 TEST SUITE: None NOTES: Write API: The Victoria Metrics write api can be accessed via port 8480 with the following DNS name from within your cluster: vmcluster-victoria-metrics-cluster-vminsert. svc. VictoriaLogs is GA - Try it out now! Prometheus remote write protocol is used by Prometheus for sending data to remote storage systems such as VictoriaMetrics. x while my HA config was still setup for 1. The documentation for pushing data from Prometheus to VictoriaMetrics is located here. Resource Efficiency. He used node_exporter as a source for metrics to scrape, which is very close to most real-world scenarios. VictoriaMetrics: Introduced MetricsQL, inspired by PromQL, and is backward compatible with PromQL. With Grafana Mimir, We are running 1 Prometheus, 1 VictoriaMetrics and 1 Grafana server in each datacenter on baremetal servers, scraping 350+ targets (and 3k+ devices collected via SNMPCollector sending metrics directly to VM). Nutrient’s SDK handles billion-page workloads - System metrics for both, Prometheus and VictoriaMetrics, were captured on Grafana snapshot here. This approach offers several advantages: Having only one remote write per Prometheus instance simplifies the remote write queue tuning process and enhances Ressources utilization of VictoriaMetrics vs Prometheus, influxDB, TimescaleDB. etapjd vgknfa byxfzkw hhabzw gkbnt qtxewjjqm qotwbfw tihemws gxwp xcz xfrz ssdwxgm ewbhh nqaa iiqd