High-Availability
How vmstorage Turns Raw Metrics into Organized History
This article walks through how data flows from collection to storage, explaining how vmstorage processes incoming metrics, assigns unique IDs to time series, and organizes everything into different types of storage parts. The whole system is pretty clever - it uses in-memory buffers for speed, smart compression to save space, and has various watchdogs keeping an eye on things like disk space and data retention.
How vmagent Collects and Ships Metrics Fast with Aggregation, Deduplication, and More
VictoriaMetrics agent, or vmagent, is a lightweight tool designed to gather metrics from a number of different sources. 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 them.
How to Choose a Scalable Open Source Time Series Database: The Cost of Scale
When looking for a most scalable open source time series database, what are the criteria to care about? Read this blog to get our recommendations.
vmagent High-Availability Examples
Three examples of vmagent high-availability setup for pull and push models