🌏 New Region Alert! 🚀 Now supporting #VictoriaMetrics #Cloud in Asia Pacific (AWS ap-southeast-1, Singapore 🇸🇬)! Enjoy lower latency, better performance, and regional data sovereignty. More details in our blog 👇 hubs.li/Q03x1Bfb0 #Observability #AsiaPacific

In #VictoriaMetrics #Cloud ☁️, #MCP Server now supports nearly all read-only APIs 📡 — just like the #VMUI 🖥️, but via natural language 💬! 📊 #Query metrics 🧾 Export data 🧠 #Trace queries 🛠️ Debug configs 🚨 Inspect alerts 📉 Explore cardinality ⚙️ Check usage Find more

According to @TrueFoundry… “After side‑by‑side testing on a 500 GB/7‑day workload, #VictoriaLogs cut query latencies by 94 %, shrank storage by ≈40 %, and used < 50 % of the CPU & RAM we previously allocated to #Loki.” Learn more about VictoriaLogs, our #log management

🚀 Tech Talk #7 is here. Join us for Part 2 of our series, "Applying #AI/#ML in #Observability," where we focus on vmanomaly. Special guest Fred Navruzov will join Mathias and Marc, the lead developer of vmanomaly. Fred will join Mathias and Marc to share insider tips and expert

🚀 Exciting news! #VictoriaMetrics #Cloud now supports a new integration type: Alerting & Recording Rules! 🎯 Compatible with: 🖥️ #Node Exporter 📦 Kube State Metrics 📊 #cAdvisor Powered by #OpenSource #Prometheus Alerts, you can now select rules & alerts directly from the

🚀 As #Kubernetes adoption grows, so does the need for scalable, efficient #observability. Peter Zaitsev, founder of Percona and Co-founder of coroot, recently highlighted #VictoriaMetrics as one of the top emerging tools for Kubernetes environments. Why? VictoriaMetrics is

🚀 Scaling @pingcap #TiDB #observability from #Prometheus to #VictoriaMetrics has been a game-changer! Thanks to the PingCAP team for sharing their experience! ✅ 50% lower CPU usage ✅ 35% less memory, eliminating OOM crashes ✅ Query time reduced from 40 mins to 3 mins

#VictoriaMetrics is looking for a technical content enthusiast! 🔍 We’re #hiring a Technical Product Marketing Writer to help shape our company's voice. As our Technical Product Marketing Writer, you’ll create technical content and marketing materials highlighting our

🚀 Prepare for Tech Talk #7 – the second part of our series on "Applying #AI/#ML in #Observability"! This session will focus on vmanomaly and feature a special guest: Fred Navruzov, the main developer of this tool. Fred will join Mathias and Marc to share expert insights and

Wall Clock vs. Monotonic Clock in Go Modern systems use two clocks: 🕒 Wall Clock = Real-world time (can jump: NTP, DST) ⏱️ Monotonic Clock = Always moves forward, great for measuring durations Go 1.9+ combines both for reliable time handling. 🕒 Use a wall clock for scheduling

Why @PingCap TIDB Switched from Prometheus to VictoriaMetrics for #Monitoring? As #TiDB grew to handle more demanding workloads and the changing needs of their internal teams and cloud customers, they decided to move to #VictoriaMetrics after careful consideration. The results

🚀 New Feature Alert! We've added Prometheus Histogram support (with le buckets) to the VictoriaMetrics/metrics package! 🔧 Highlights: ✅ Switch to a lightweight metrics library ✅ Choose between classical #Prometheus or precise #VictoriaMetrics histograms ✅ Fully compatible

🎇 Set an alarm - Tomorrow's the day! Join us for Tech Talk #7 – Part 2 of "Applying AI/#ML in Observability" 🎙️ Featuring Fred Navruzov, lead dev of vmanomaly, with Mathias & Marc 🕙 10 AM PDT | 6 PM BST | 7 PM CEST 📺 Live on YouTube: hubs.li/Q03wB4mR0 A must-watch for

🟣 We're live in 15 minutes – Tech Talk #7 is about to begin! 🎙️ Fred Navruzov, lead developer of vmanomaly, joins Mathias and Marc to share insider tips, expert advice, and real-world use cases to help you maximize anomaly detection. If you're into #AI, #ML, or #Observability,

Learn more about Anomaly Detection in our Tech Talk #7. Live now on our YouTube Channel! youtube.com/live/Uuix_glPf… An anomaly in Time Series data refers to a single data point or a pattern that deviates significantly from the expected behavior. These anomalies can appear as

What is anomaly detection (AD)? AD in time series data involves identifying unusual data points, patterns, and behaviors within a given time frame. Learn more about Anomaly Detection in our Tech Talk #7. Live now on our YouTube Channel! youtube.com/live/Uuix_glPf… #TimeSeries

More updates are coming in Anomaly Detection and #VictoriaMetrics. Learn more about AD in our Tech Talk #7. Live now on our YouTube Channel! youtube.com/live/Uuix_glPf… #TimeSeries #Monitoring #Observability #TechEvent

#vmanomaly is used for: -Reduce MTTR for #Observability use cases. -To simplify maintenance of alerting rules and thresholds -To handle complex metrics where the usage of constant thresholds or simpler models doesn't work. to address anomalies in interconnected metrics. Learn

🚀 Announcing the new 🆕 victoriametrics-cloud-api-go — an official #Go client 🧑‍💻 for #VictoriaMetrics Cloud! Simplify managing your monitoring setup with first-class support for deployments, access tokens, cloud info, and account details. Perfect for #CI/#CD, automation, and

🔒 #Security at #VictoriaMetrics #Cloud just got stronger! We've enabled ✅ #TLS 1.3 on all load balancers.. More details in our latest blog 👇 hubs.li/Q03yJYJG0 #TimeSeries #DevOps #Monitoring