VictoriaMetrics Observability Blog

Roman Khavronenko
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GPU Observability with the OpenLIT Collector and the VictoriaMetrics observability stack

Monitor NVIDIA, AMD, and Intel GPUs with the OpenLIT OpenTelemetry GPU Collector and the VictoriaMetrics stack: eBPF CUDA kernel tracing, OTel hardware semantic conventions, MetricsQL queries, recording rules, and alerts.

Alerting Best Practices

Proper alerting is an art. It is all about foreseeing bad scenarios before they happen, so you can prepare for them. In this article, we go through practical recommendations of approaching the alerting to reduce alerting fatigue and avoid false positives.

Don’t default to microservices: You’ll thank us later!

We believe microservices shouldn’t be the default and that companies should start with monoliths until reality actually demands they scale and shift from one node to a cluster of nodes. As a result, we offer clustering on an open source basis because we want to support realistic growth. Read on for details!

FOSDEM 2025 recap

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. See more in our recap!

How to reduce expenses on monitoring: be smarter about data

This blog post is the second in the series of the blog posts based on the talk about ‘How to reduce expenses on monitoring’, stackconf 2023. It is about open-source instruments and techniques from the VictoriaMetrics ecosystem for improving cost-efficiency of monitoring.

How to reduce expenses on monitoring: Swapping in VictoriaMetrics for Prometheus

This blog post is the first in the series of the blog posts based on the talk about ‘How to reduce expenses on monitoring’, stackconf 2023. It is about open-source instruments and techniques from theVictoriaMetrics ecosystem for improving cost-efficiency of monitoring.

Performance optimization techniques in time series databases: sync.Pool for CPU-bound operations

This blog post is the fourth in the series of blog posts based on the talk about ‘Performance optimizations in Go’, GopherCon 2023. It is dedicated to various optimization techniques used in VictoriaMetrics for improving performance and resource usage.

Performance optimization techniques in time series databases: Limiting concurrency

This blog post is a third in the series of the blog posts based on the talk about ‘Performance optimizations in Go’, GopherCon 2023. It is dedicated to various optimization techniques used in VictoriaMetrics for improving performance and resource usage.

Performance optimization techniques in time series databases: function caching

This blog post is a second in the series of the blog posts based on the talk about ‘Performance optimizations in Go’, GopherCon 2023. It is dedicated to various optimization techniques used in VictoriaMetrics for improving performance and resource usage.