Operations | Monitoring | ITSM | DevOps | Cloud

In case you haven’t heard about it yet, FOSDEM (Free and Open Source Software Developers’ European Meeting) is a huge, free, gathering for open-source software enthusiasts that happens every February in Brussels, Belgium. It’s a non-profit event put together by the community, and it’s one of the biggest of its kind - we’re talking about around 10,000 people from all over the world coming to hang out and talk about all things open source.

What happens if we put OpenTelemetry, Prometheus 2.x, Prometheus 3.x, and vmagent together for comparison in scraping and pushing data to remote storage?

Once you’re comfortable with net/rpc from previous article (From net/rpc to gRPC in Go Applications), it’s probably a good idea to start exploring HTTP/2, which is the foundation of the gRPC protocol. How HTTP/2 Works and How to Enable It in Go This piece leans a bit more on the theory side, so heads-up, it’s text-heavy. We’ll focus on understanding HTTP/2 and then briefly touch on enabling it in Go. So, grab a coffee, settle in, and let’s break it down.

It’s been an exciting journey since we launched VictoriaMetrics Cloud, empowering many with a managed, simple, reliable, and efficient monitoring solution to reduce monitoring costs by up to 5x. Designed to eliminate the overhead of running infrastructure, VictoriaMetrics Cloud has proven to be a game-changer, offering the scalability and power of the popular VictoriaMetrics open-source time-series database but, this time, fully managed.

We’re happy to announce that VictoriaMetrics, open source time-series database and monitoring solution, and IHI Terrasun Solutions, a leading energy storage system integrator, have partnered on one of North America’s largest clean energy projects! The Gemini Solar + Storage project, which is carefully situated on less than 5,000 acres, is designed to provide clean energy for up to 10% of Nevada’s electricity needs during peak use times.

vmstorage is the component in VictoriaMetrics that handles long-term storage of monitoring data. It receives data from vminsert, organizes the data into efficient storage structures, and manages how long data is kept. Before vminsert even sees the data, agents are out there collecting it, these agents gather metrics from different sources, hold onto the data briefly, and then send it over to vminsert in batches.