🤖 Did you know @Nvidia and @CoreWeave use VictoriaMetrics for #monitoring? CoreWeave sells an AI cloud that includes #GPU clusters, managed Kubernetes, and storage. The company rents GPUs to AI labs for training and serving models. CoreWeave exposes infrastructure #telemetry to its customers as part of the platform, and the company describes its VictoriaMetrics deployment as one of the largest in the world. NVIDIA Cloud Functions (#NVCF) is NVIDIA’s platform for running GPU workloads as functions. You package an inference model, and NVCF routes requests to GPU workers that can serve it. NVIDIA’s self-managed edition brings the same platform to your own #Kubernetes clusters, and NVCF Release 1.0.1 ships with a single-node VictoriaMetrics chart as the default for #metrics storage. NVIDIA hasn’t said why it picked VictoriaMetrics as the default, but here are a few likely reasons 🪶 Simplicity: VictoriaMetrics runs as a single binary with no external dependencies. ⚡ Efficiency: A metrics store that uses less RAM and disk than Prometheus leaves more free resources on the cluster for work. 🛡️ Reliability: Metrics need to be reliable. If the backend is down, scaling stops. That makes VictoriaMetrics a critical moving part of NVCF. VictoriaMetrics is designed to survive unclean shutdowns without corrupting data and to restart in seconds. 📜 License: VictoriaMetrics is Apache 2.0 Curious how NVIDIA uses metrics to drive GPU autoscaling, and how CoreWeave plugged an AI agent into its metrics? 👉 Read the full blog post: hubs.li/Q04BV5LG0 #Observability

#VictoriaLogs now runs in production everywhere, and many teams running it have told us the same thing: everyone wants new features, but upgrading their logging backend every few weeks is hard. They want the mix of stability and up-to-date security that only #LTS releases can satisfy. We’re happy to announce VictoriaLogs v1.52.1, our first Long Term Support release for Enterprise logs users. The latest version brings: 📆 12 months of security and bug-fix backports 🛠️ #Go toolchain update 🔒 Deletion #API hardening 📤 #vlinsert shutdown ⚖️ Cluster rerouting 🛑 Query cancellation 🔀 Sort order 🐛 vlagent collection fixes Read the full blog post today hubs.li/Q04BV2lS0 #LogManagement #Logs

¡Enhorabuena, España! 🇪🇸🚀 VictoriaMetrics is heading to Torremolinos for @jotbconf 2026, and we're proud to be a Bronze Sponsor! 🥉 Our DevRel, @DianavTodea, will take the stage with her talk: 🎤 How to Defeat OTel’s Silent Killer: The Performance Overhead Ever watched your pipeline silently eat up CPU and memory, without any obvious errors? That's the silent killer of #OpenTelemetry: performance overhead. Excessive instrumentation, unoptimized exporters, and high-cardinality data can lead to resource spikes, latency, and unexpected costs. We'll break down the sources of OpenTelemetry overhead, show how to measure and visualize its impact, and walk through practical techniques for reducing it. From sampling strategies to batching, from smarter exporters to #backend tuning, the audience will learn in a live demo how to keep the benefits of #OTel without burning your infrastructure budget. By the end, attendees will have concrete strategies to optimize their own observability pipelines for both performance and cost. Where? 📍 Palacio de Congresos de Torremolinos, Malaga. Spain When?⏰ October 30th at 04:40 PM CEST Save your spot: hubs.li/Q04BzjM60 #Monitoring #metrics #techevents #DevOps

🚀 VictoriaMetrics September Product Updates are here, and this is what #vmestimator 0.1.16  provides: 📊 New churn ratio and churn interval metrics 📈 Improved #Cardinality Estimations dashboard Explore the new features and learn how to get started 👇 hubs.li/Q04BwhwC0 #Monitoring #DevOps #Observability

VictoriaMetrics 1.153.0 and  1.152.0 are here. Here's what shipped this month 👇 🚨 Skip pending state on vmalert restarts ⚡ Opt-in page cache hints for improved storage efficiency (try it & share feedback)”. 📋 HTTP headers in vmauth access logs 🧮 Accurate unused-metrics reporting in cluster 🛠️ 11 bug fixes, 3 security fixes, and more… Read the latest updates and discover what's new across the #VictoriaMetrics ecosystem. hubs.li/Q04BcgVV0 #Monitoring #DevOps #Prometheus

🇺🇸 Salt Lake City is Ready for the Observability Community! #VictoriaMetrics is a Silver Sponsor at #KubeCon North America 2026. Join us to explore the world of #observability and monitoring, including #logs, #traces & time-series #databases for Kubernetes users, and more. 📍 November 10–12 | Booth #218 🔹 Observability Day: November 9 | Table OBS7 🎤 Catch our talks & panel! 🔹 Observability Day | November 9 An Ode to Metrics: Is OpenTelemetry Moving Away from #Prometheus? @DianavTodea, our DevRel, together with Reese Lee 🕐 2:40–3:05 PM MST 📍 Observability Day | Room 2 🔹 OpenTelemetry ContribFest | November 10 Diana Todea will participate in the #OpenTelemetry ContribFest panel. 🕐 11:30 AM–12:50 PM MST 📍 Salt Palace | Level 2 | 255 D 🔹 KubeCon North America | November 11 Zero-Trust Telemetry: Stopping AI-Powered Poisoning Attacks on Observability Pipelines Diana Todea, together with Chad M. Crowell 🕐 4:10–4:40 PM MST 📍 Hyatt Regency | Level 2 | Salt Lake Ballroom DE 👉 hubs.li/Q04zQJTH0 (hubs.li/Q04zQJTH0) See you in Salt Lake City! #TechConference #OpenSource #CloudNativeCon

VictoriaMetrics is heading to P99!  The event for developers who care about high-performance, low-latency applications. 🚀 Our Co-Founder, @hagen1778, will present, “Writing a TSDB from Scratch: Performance Optimization.” Application Performance #Monitoring and #Kubernetes monitoring in their current state are pretty expensive. The average VictoriaMetrics installation processes 2-4 million samples/s on the ingestion path and 20-40 million samples/s on the read path. The largest installations handle 100 million samples/s on the ingestion path. This requires being very clever with data pipelines to keep them efficient and scalable as resources scale. In this session, we’ll explore essential optimizations to maintain database speed, such as string interning, caching results, goroutine management and understanding sync.pool.  📆 October 21st 📍 Online This session is great for you if you want to learn how to optimize your database effectively. hubs.li/Q04zJNpr0  #DevOps

🚀 Did you miss the @AgenticAIFdn? @DianavTodea, our DevRel, presented her talk, “MCPs for #Observability Stacks”. We use #MCP servers in production every day. But how are we using them with a complex observability stack? In this session, you'll see: 🟣 How two MCP servers collaborate to deliver accurate operational insights 🟣 How to operate cloud deployments  🟣 Detecting anomalies with AI-assisted workflows 🟣 Find information on #logs and #metrics Watch on demand today 👇 hubs.li/Q04xxs3k0  #Observability #Anomaly #Detection #SRE #DevOps