Operations | Monitoring | ITSM | DevOps | Cloud

August 2024

Open Source Software Licenses vs Revenue Growth Rates

I don’t understand why pure open-source licenses, such as Apache2, MIT or BSD, should be replaced with a source available license in order to increase profits from enterprise support contracts. That’s why we at VictoriaMetrics aren’t going to change the Apache2 license for our products. Our main goal is to provide good products to users, and to help users use these products in the most efficient way.

Haley Wang - VictoriaMetrics At KubeCon China 2024

Haley Wang, a software engineer at VictoriaMetrics, presented at KubeCon China 2024 on August 22nd, 2024! In her talk, "Building a High-Performance Time Series #Database from Scratch: Optimization Strategies," Haley shared valuable insights and strategies for optimizing time series databases.

Strategies for Efficient Log Management in Large-Scale Kubernetes Clusters

Aliaksandr Valialkin, #VictoriaMetrics CTO present "Strategies for Efficient hashtag#LogManagement in Large-Scale hashtag#Kubernetes Clusters" at hashtag#FrOSCon. Large #Kubernetes clusters can generate significant volumes of logs, especially when housing thousands of running pods. This may demand substantial CPU, RAM, disk IO, and disk space for storing and querying large log volumes. In this talk, we will look into different strategies of storing those logs in #ElasticSearch, Grafana Loki and #VictoriaLogs and examine how we can save 10x or more on infrastructure costs.

VictoriaMetrics Cloud reduces monitoring costs by 5x

We’re happy to announce VictoriaMetrics Cloud, a hosted monitoring platform and managed service for metrics that allows organizations to monitor and store large amounts of time-series data, without having to run the underlying infrastructure. At a time when almost every enterprise relies on complex data to run, VictoriaMetrics Cloud delivers the power of the popular VictoriaMetrics open-source time series solution, which has reached 750 million downloads, with enterprise features.

Troubleshooting Time Series Databases: Where Did My Metrics Go?

Complex modern applications rely heavily on observability, and metric monitoring is a crucial part of observability. The most common process of metric monitoring, which includes data scraping, processing, storage, and visualization, can be summarized in the diagram below: If an issue arises, for example, when users ask, “I have already recorded metrics in the application, why can’t I see my metrics on Grafana?”, how should we troubleshoot it?