* [Datanami: Why Roblox Picked VictoriaMetrics for Observability Data Overhaul](https://www.datanami.com/2023/05/30/why-roblox-picked-victoriametrics-for-observability-data-overhaul/)
* [Grammarly: Better, Faster, Cheaper: How Grammarly Improved Monitoring by Over 10x with VictoriaMetrics](https://www.grammarly.com/blog/engineering/monitoring-with-victoriametrics/)
* [CERN: CMS monitoring R&D: Real-time monitoring and alerts](https://indico.cern.ch/event/877333/contributions/3696707/attachments/1972189/3281133/CMS_mon_RD_for_opInt.pdf)
* [CERN: The CMS monitoring infrastructure and applications](https://arxiv.org/pdf/2007.03630.pdf)
* [Forbes: The (Almost) Infinitely Scalable Open Source Monitoring Dream](https://www.forbes.com/sites/adrianbridgwater/2022/08/16/the-almost-infinitely-scalable-open-source-monitoring-dream/)
* [Forbes: The Agility In Cloud Observability](https://www.forbes.com/sites/adrianbridgwater/2023/07/05/the-agility-in-cloud-observability/)
* [Bedrock: Monitoring at scale with Victoria Metrics](https://tech.bedrockstreaming.com/2022/09/06/monitoring-at-scale-with-victoriametrics.html)
* [Percona: Optimizing the Storage of Large Volumes of Metrics for a Long Time in VictoriaMetrics](https://percona.community/blog/2022/06/02/long-time-keeping-metrics-victoriametrics/)
* [Percona: Foiled by the Firewall: A Tale of Transition From Prometheus to VictoriaMetrics](https://www.percona.com/blog/2020/12/01/foiled-by-the-firewall-a-tale-of-transition-from-prometheus-to-victoriametrics/)
* [Percona: Observations on Better Resource Usage with Percona Monitoring and Management v2.12.0](https://www.percona.com/blog/2020/12/23/observations-on-better-resource-usage-with-percona-monitoring-and-management-v2-12-0/)
* [Percona: How do We Keep Metrics for a Long Time in VictoriaMetrics](https://www.youtube.com/watch?v=SGZjY7xgDwE)
* [Miro: Prometheus High Availability and Fault Tolerance strategy, long term storage with VictoriaMetrics](https://medium.com/miro-engineering/prometheus-high-availability-and-fault-tolerance-strategy-long-term-storage-with-victoriametrics-82f6f3f0409e)
* [ZERODHA: Infrastructure monitoring with Prometheus at Zerodha](https://zerodha.tech/blog/infra-monitoring-at-zerodha/)
* [ZERODHA: Monitoring K8S with VictoriaMetrics](https://docs.google.com/presentation/d/1g7yUyVEaAp4tPuRy-MZbPXKqJ1z78_5VKuV841aQfsg/edit)
* [Criteo: VictoriaMetrics, a stress-free Prometheus Remote Storage for 1 Billion metrics](https://medium.com/criteo-engineering/victoriametrics-a-prometheus-remote-storage-solution-57081a3d8e61)
* [Abios Gaming: Choosing a Time Series Database for High Cardinality Aggregations](https://abiosgaming.com/press/high-cardinality-aggregations/)
* [Cybozu: Monitoring Kubernetes clusters with VictoriaMetrics and Grafana](https://blog.cybozu.io/entry/2021/03/18/115743)
* [Razorpay: Scaling to trillions of metric data points](https://engineering.razorpay.com/scaling-to-trillions-of-metric-data-points-f569a5b654f2)
* [Nordic APIs: Monitoring with Prometheus, Grafana, AlertManager and VictoriaMetrics](https://nordicapis.com/api-monitoring-with-prometheus-grafana-alertmanager-and-victoriametrics/)
* [Smarkets: How we improved our Kubernetes monitoring at Smarkets, and how you could too](https://smarketshq.com/monitoring-kubernetes-clusters-41a4b24c19e3)
* [Mist: Kubernetes and VictoriaMetrics in Mist v4.6](https://mist.io/blog/2021-11-26-kubernetes-and-victoriametrics-in-Mist-v4-6)
* [Kintone: Multi-tenancy monitoring system for Kubernetes cluster using VictoriaMetrics and operators](https://blog.kintone.io/entry/2021/03/31/175256)
* [Alteos: Observability, Availability & DORA’s Research Program](https://medium.com/alteos-tech-blog/observability-availability-and-doras-research-program-85deb6680e78)
* [Brewblox: InfluxDB to Victoria Metrics](https://www.brewblox.com/dev/decisions/20210718_victoria_metrics.html)
* [Techetio: Evaluating Backend Options For Prometheus Metrics](https://www.techetio.com/2022/08/21/evaluating-backend-options-for-prometheus-metrics/)
* [Monitoring of multiple OpenShift clusters with VictoriaMetrics](https://medium.com/ibm-garage/monitoring-of-multiple-openshift-clusters-with-victoriametrics-d4f0979e2544)
* [Percona: Better Prometheus rate() function with VictoriaMetrics](https://www.percona.com/blog/2020/02/28/better-prometheus-rate-function-with-victoriametrics/)
* [Percona: Percona monitoring and management migration from Prometheus to VictoriaMetrics FAQ](https://www.percona.com/blog/2020/12/16/percona-monitoring-and-management-migration-from-prometheus-to-victoriametrics-faq/)
* [Percona: Compiling a Percona Monitoring and Management v2 Client in ARM: Raspberry Pi 3 Reprise](https://www.percona.com/blog/2021/05/26/compiling-a-percona-monitoring-and-management-v2-client-in-arm-raspberry-pi-3/)
* [Percona: Tame Kubernetes Costs with Percona Monitoring and Management and Prometheus Operator](https://www.percona.com/blog/2021/02/12/tame-kubernetes-costs-with-percona-monitoring-and-management-and-prometheus-operator/)
* [Making peace with Prometheus rate()](https://blog.doit-intl.com/making-peace-with-prometheus-rate-43a3ea75c4cf)
* [Disk usage: VictoriaMetrics vs Prometheus](https://stas.starikevich.com/posts/disk-usage-for-vm-versus-prometheus/)
* [Benchmarking time series workloads on Apache Kudu using TSBS](https://blog.cloudera.com/benchmarking-time-series-workloads-on-apache-kudu-using-tsbs/)
* [What are Open Source Time Series Databases?](https://www.iunera.com/kraken/fabric/time-series-database/)
* [Evaluating performance and correctness](https://www.robustperception.io/evaluating-performance-and-correctness)
* [Running VictoriaMetrics on Raspberry PI](https://stas.starikevich.com/posts/raspberry-pi-4-prometheus/)
* [Calculating the Error of Quantile Estimation with Histograms](https://linuxczar.net/blog/2020/08/13/histogram-error/)
* [Monitoring private clouds with VictoriaMetrics at LeroyMerlin](https://www.youtube.com/watch?v=74swsWqf0Uc)
* [Monitoring Kubernetes with VictoriaMetrics+Prometheus](https://speakerdeck.com/bo0km4n/victoriametrics-plus-prometheusdegou-zhu-surufu-shu-kubernetesfalsejian-shi-ji-pan)
* [Cloud Native Model Driven Telemetry Stack on OpenShift](https://cer6erus.medium.com/cloud-native-model-driven-telemetry-stack-on-openshift-80712621f5bc)
* [Push Prometheus metrics to VictoriaMetrics or other exporters](https://pythonawesome.com/push-prometheus-metrics-to-victoriametrics-or-other-exporters/)
* [How we tried using VictoriaMetrics and Thanos at the same time](https://medium.com/@uburro/how-we-tried-using-victoriametrics-and-thanos-at-the-same-time-48803d2a638b)
* [VictoriaMetrics and Open Cosmos boldly takes edge computing to the edge of space](https://www.iot-now.com/2022/07/19/122423-victoriametrics-and-open-cosmos-boldly-takes-edge-computing-to-the-edge-of-space/)
* [Time Series in the Multiverse of Madness (in Korean)](https://www.youtube.com/watch?v=OUyXPgVcdw4), plus [these slides](https://deview.kr/data/deview/session/attach/%5B2B4%5DVictoriaMetrics_%E1%84%89%E1%85%B5%E1%84%80%E1%85%A8%E1%84%8B%E1%85%A7%E1%86%AF_%E1%84%83%E1%85%A6%E1%84%8B%E1%85%B5%E1%84%90%E1%85%A5_%E1%84%83%E1%85%A2%E1%84%92%E1%85%A9%E1%86%AB%E1%84%83%E1%85%A9%E1%86%AB%E1%84%8B%E1%85%B4_%E1%84%86%E1%85%A5%E1%86%AF%E1%84%90%E1%85%B5%E1%84%87%E1%85%A5%E1%84%89%E1%85%B3_Kor+Eng.pdf)
* [VictoriaMetrics: an overview and its use instead of Prometheus](https://rtfm.co.ua/en/victoriametrics-an-overview-and-its-use-instead-of-prometheus/)
* [Solving metrics at scale with VictoriaMetrics](https://sarthak-acoustic.medium.com/solving-metrics-at-scale-with-victoriametrics-ac9c306826c3)
* [VictoriaMetrics: a comprehensive guide](https://medium.com/@seifeddinerajhi/victoriametrics-a-comprehensive-guide-comparing-it-to-prometheus-and-implementing-kubernetes-03eb8feb0cc2)
* [Unleashing VM histograms for Ruby: Migrating from Prometheus to VictoriaMetrics with vm-client](https://hackernoon.com/unleashing-vm-histograms-for-ruby-migrating-from-prometheus-to-victoriametrics-with-vm-client)
* [Observe and record performance of Spark jobs with Victoria Metrics](https://medium.com/constructor-engineering/observe-and-record-performance-of-databricks-jobs-11ffe236555e)
* [VictoriaMetrics — creating the best remote storage for Prometheus](https://faun.pub/victoriametrics-creating-the-best-remote-storage-for-prometheus-5d92d66787ac)
* [Anomaly Detection in VictoriaMetrics](https://victoriametrics.medium.com/anomaly-detection-in-victoriametrics-9528538786a7)
* [When size matters — benchmarking VictoriaMetrics vs Timescale and InfluxDB](https://valyala.medium.com/when-size-matters-benchmarking-victoriametrics-vs-timescale-and-influxdb-6035811952d4)
* [High-cardinality TSDB benchmarks: VictoriaMetrics vs TimescaleDB vs InfluxDB](https://valyala.medium.com/high-cardinality-tsdb-benchmarks-victoriametrics-vs-timescaledb-vs-influxdb-13e6ee64dd6b)
* [Insert benchmarks with inch: InfluxDB vs VictoriaMetrics](https://valyala.medium.com/insert-benchmarks-with-inch-influxdb-vs-victoriametrics-e31a41ae2893)
* [Measuring vertical scalability for time series databases in Google Cloud](https://valyala.medium.com/measuring-vertical-scalability-for-time-series-databases-in-google-cloud-92550d78d8ae)
* [Billy: how VictoriaMetrics deals with more than 500 billion rows](https://valyala.medium.com/billy-how-victoriametrics-deals-with-more-than-500-billion-rows-e82ff8f725da)
* [First look at performance comparison between InfluxDB IOx and VictoriaMetrics](https://victoriametrics.medium.com/first-look-at-perfomance-comparassion-between-influxdb-iox-and-victoriametrics-e590f847935b)
* [Prometheus vs VictoriaMetrics benchmark on node-exporter metrics](https://valyala.medium.com/prometheus-vs-victoriametrics-benchmark-on-node-exporter-metrics-4ca29c75590f)
* [Promscale vs VictoriaMetrics: resource usage on production workload](https://valyala.medium.com/promscale-vs-victoriametrics-resource-usage-on-production-workload-91c8e3786c03)
* [How VictoriaMetrics makes instant snapshots for multi-terabyte time series data](https://medium.com/@valyala/how-victoriametrics-makes-instant-snapshots-for-multi-terabyte-time-series-data-e1f3fb0e0282)
* [WAL Usage Looks Broken in Modern TSDBs](https://valyala.medium.com/wal-usage-looks-broken-in-modern-time-series-databases-b62a627ab704)
* [mmap may slow down your Go app](https://valyala.medium.com/mmap-in-go-considered-harmful-d92a25cb161d)
* [VictoriaMetrics: achieving better compression than Gorilla for time series data](https://faun.pub/victoriametrics-achieving-better-compression-for-time-series-data-than-gorilla-317bc1f95932)
* [Stripping dependency bloat in VictoriaMetrics Docker image](https://valyala.medium.com/stripping-dependency-bloat-in-victoriametrics-docker-image-983fb5912b0d)
* [Speeding up backups for big time series databases](https://valyala.medium.com/speeding-up-backups-for-big-time-series-databases-533c1a927883)
* [Improving histogram usability for Prometheus and Grafana](https://valyala.medium.com/improving-histogram-usability-for-prometheus-and-grafana-bc7e5df0e350)
* [Why irate from Prometheus doesn't capture spikes](https://valyala.medium.com/why-irate-from-prometheus-doesnt-capture-spikes-45f9896d7832)
* [How to migrate data from Prometheus to VictoriaMetrics](https://medium.com/@romanhavronenko/victoriametrics-how-to-migrate-data-from-prometheus-d44a6728f043)
* [VictoriaMetrics: how to migrate data from Prometheus. Filtering and modifying time series.](https://medium.com/@romanhavronenko/victoriametrics-how-to-migrate-data-from-prometheus-filtering-and-modifying-time-series-6d40cea4bf21)
* [How to use relabeling in Prometheus and VictoriaMetrics](https://valyala.medium.com/how-to-use-relabeling-in-prometheus-and-victoriametrics-8b90fc22c4b2)
* [How to monitor Go applications with VictoriaMetrics](https://victoriametrics.medium.com/how-to-monitor-go-applications-with-victoriametrics-c04703110870)
* [How ClickHouse inspired us to build a high performance time series database](https://www.youtube.com/watch?v=p9qjb_yoBro). See also [slides](https://docs.google.com/presentation/d/1SdFrwsyR-HMXfbzrY8xfDZH_Dg6E7E5NJ84tQozMn3w/edit?usp=sharing)
* [OSA Con 2022: Specifics of data analysis in Time Series Databases](https://www.youtube.com/watch?v=_zORxrgLtec)
* [OSMC 2022. VictoriaMetrics: scaling to 100 million metrics per second](https://www.youtube.com/watch?v=xfed9_Q0_qU). See also [slides](https://www.slideshare.net/NETWAYS/osmc-2022-victoriametrics-scaling-to-100-million-metrics-per-second-by-aliaksandr-valialkin)
* [CNCF Paris Meetup 2022-09-15 - VictoriaMetrics - The cost of scale in Prometheus ecosystem](https://www.youtube.com/watch?v=gcZYHpri2Hw). See also [slides](https://docs.google.com/presentation/d/1jhZuKnAXi15M-mdBP5a4ZAiyrMeHhYmzO8xcZ6pMyLc/edit?usp=sharing)
* [VictoriaMetrics Meetup December 2022](https://www.youtube.com/watch?v=Mesc6JBFNhQ). See also [slides for "VictoriaMetrics 2022: new features" talk](https://docs.google.com/presentation/d/1jI7XZoodmuzLymdu4MToG9onAKQjzCNwMO2NDupyUkQ/edit?usp=sharing).
* [How to reduce expenses on monitoring slides](https://www.slideshare.net/RomanKhavronenko/how-to-reduce-expenses-on-monitoringpdf) and [video](https://www.youtube.com/watch?v=lnVnF79XdoE)
