# Articles


## Our articles

* [Open-sourcing VictoriaMetrics](https://medium.com/@valyala/open-sourcing-victoriametrics-f31e34485c2b)
* [How we created VictoriaMetrics](https://medium.com/devopslinks/victoriametrics-creating-the-best-remote-storage-for-prometheus-5d92d66787ac)
* [VictoriaMetrics vs TimescaleDB vs InfluxDB benchmarks on 40K unique time series](https://medium.com/@valyala/when-size-matters-benchmarking-victoriametrics-vs-timescale-and-influxdb-6035811952d4)
* [VictoriaMetrics vs TimescaleDB vs InfluxDB benchmarks on 400K, 4M and 40M unique time series](https://medium.com/@valyala/high-cardinality-tsdb-benchmarks-victoriametrics-vs-timescaledb-vs-influxdb-13e6ee64dd6b)
* [Insert benchmarks for VictoriaMetrics vs InfluxDB on high-cardinality data](https://medium.com/@valyala/insert-benchmarks-with-inch-influxdb-vs-victoriametrics-e31a41ae2893)
* [Measuring vertical scalability for time series databases in Google Cloud](https://medium.com/@valyala/measuring-vertical-scalability-for-time-series-databases-in-google-cloud-92550d78d8ae)
* [How VictoriaMetrics creates instant snapshots](https://medium.com/@valyala/how-victoriametrics-makes-instant-snapshots-for-multi-terabyte-time-series-data-e1f3fb0e0282)
* [Prometheus Subqueries in VictoriaMetrics](https://medium.com/@valyala/prometheus-subqueries-in-victoriametrics-9b1492b720b3)
* [Why irate from Prometheus doesn't capture spikes](https://medium.com/@valyala/why-irate-from-prometheus-doesnt-capture-spikes-45f9896d7832)
* [Why mmap'ed files in Go may hurt performance](https://medium.com/@valyala/mmap-in-go-considered-harmful-d92a25cb161d)
* [WAL Usage Looks Broken in Modern TSDBs](https://medium.com/@valyala/wal-usage-looks-broken-in-modern-time-series-databases-b62a627ab704)
* [Analyzing Prometheus data with external tools](https://medium.com/@valyala/analyzing-prometheus-data-with-external-tools-5f3e5e147639)
* [Stripping dependency bloat in VictoriaMetrics Docker image](https://medium.com/@valyala/stripping-dependency-bloat-in-victoriametrics-docker-image-983fb5912b0d)
* [PromQL tutorial for beginners](https://medium.com/@valyala/promql-tutorial-for-beginners-9ab455142085)
* [Achieving better compression for time series data than Gorilla](https://medium.com/@valyala/victoriametrics-achieving-better-compression-for-time-series-data-than-gorilla-317bc1f95932)
* [Comparing Thanos to VictoriaMetrics cluster](https://medium.com/@valyala/comparing-thanos-to-victoriametrics-cluster-b193bea1683)
* [Speeding up backups for big time series databases](https://medium.com/@valyala/speeding-up-backups-for-big-time-series-databases-533c1a927883)
* [Evaluation performance and correctness: VictoriaMetrics response](https://medium.com/@valyala/evaluating-performance-and-correctness-victoriametrics-response-e27315627e87)
* [Improving histogram usability for Prometheus and Grafana](https://medium.com/@valyala/improving-histogram-usability-for-prometheus-and-grafana-bc7e5df0e350)
* [Prometheus storage: tech terms for humans](https://medium.com/@valyala/prometheus-storage-technical-terms-for-humans-4ab4de6c3d48)
* [Billy: how VictoriaMetrics deals with more than 500 billion rows](https://medium.com/@valyala/billy-how-victoriametrics-deals-with-more-than-500-billion-rows-e82ff8f725da)


## Third-party articles

* [Better Prometheus rate() function with VictoriaMetrics](https://www.percona.com/blog/2020/02/28/better-prometheus-rate-function-with-victoriametrics/)
* [Infrastructure monitoring with Prometheus at Zerodha](https://zerodha.tech/blog/infra-monitoring-at-zerodha/)
* [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)
* [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/)