GreptimeDB: Powering Both PromQL and SQL for Modern Observability 🚀 Not all observability and analytics use cases are the same: • PromQL — Great for real-time monitoring, dashboards, and alerts.(Favored by SREs and DevOps with Prometheus & Grafana) • SQL — Perfect for

"Pull, Query, Alert, Repeat! 🔄" Prometheus simplifies monitoring with its pull-based architecture and PromQL for real-time insights. 💡 How do you balance scalability and reliability in your monitoring tools?

Prometheus is an open-source monitoring system that collects, stores, and queries time-series data from various targets, using a pull-based model and a flexible query language called PromQL

🚨Tools change, the languages stay. • Ansible uses YAML. • Terraform uses HCL. • Kubernetes uses YAML. • Docker uses Dockerfile syntax. • Jenkins pipelines use Groovy. • GitHub Actions uses YAML. • GitLab CI uses YAML. • Prometheus uses PromQL. • Grafana dashboards use

I'm getting ready to talk about Observability Query Languages. @QuesmaOrg Splunk, Search Processing Language, PromQL by Prometheus in Grafana, Datadog query, Sumo Logic, Elastic ES|QL, CNCF, Google BigQuery pipe SQL and much more.

🚫🔍 No #PromQL? No problem. Say goodbye to endless queries — and hello to faster insights. The recent updates to #Grafana Metrics Drilldown help you pinpoint what matters most: ✅ Filter by prefixes, suffixes, and rules ✅ Group by labels ✅ Sort by dashboards and alerts

Wrapped up Cohort 3 Week 32.1 Continued with Prometheus & Grafana (Part 2) Visualized scraped metrics in Prometheus UI, used PROMQL for tables & graphs, then moved to Grafana the real power of monitoring. Linked it with the app, created dashboards & alerts

.@shukawamさん .@ystkfujiiさん .@k6s4i53rx さんと執筆した「俺たちのxQL完全ガイド - PromQL / LogQL / TraceQL 編 -」を.@grafana のAnthony Woodsさんにプレゼントし、一緒に写真を撮っていただきました🔥 (BBQLもなぜか気に入ってくれました笑) #o11yconjp

Direct Contract - Devops Engineer - System Monitoring & Observability (PromQL, Grafana, Linux etc) at SRT Marine Systems plc, Cardiff/Remote, 6 Months, £Day Rate (Outside IR35) https://t.co/wKMer1GMco Join @contractspy #IT #contracts

Inutile donc indispensable ; j'ai réussi à exposer le résultat de queries PromQL dans des badges présents dans le README de mon dépôt Homelab 😁

As a kid I would've killed for an endless list of entertaining, technical puzzles. On a long train journey and messing with PromQL thinking it's cool how I'm almost never bored now.

J'aurais bien lutté avec les croquettes #PromQL 😜 Mais !... #Dashboard par #VM avec allocations #CPU + #RAM. Et utilisation des ressources de chaque #conteneur par rapport à la VM 🤠

LLMs struggle to generate correct PromQL queries from natural language due to lack of system-specific knowledge and complex reasoning needs. This paper introduces PromAssistant to address this. Solves it using a knowledge graph and LLMs for synergistic reasoning. 📌 Knowledge

"Cloud Monitoring has achieved even greater compatibility with the open-source monitoring ecosystem with our GA release of PromQL-based alerting policies, and our command-line tool for importing dashboards from Grafana!" https://t.co/7z60VIYl9Q

🔥 Why waste time hunting for Prometheus & PromQL tutorials when the co-founder of Prometheus made a full playlist himself? This isn’t just another tutorial it’s the holy grail 🏆 If you're not learning from the source, you’re doing it wrong. https://t.co/3UKR1hklRw

I’m excited to be presenting at PromCon later today: “the weirdest PromQL you’ll ever see. PromQL for reporting, analytics and BI” Catch the live stream at https://t.co/X6G4cEYSgd: I’m up at 13:45 UTC

做了一个 PromQL 和 MetricsQL 的格式化工具。明天去适配 yaml 里面的 expr 把我们的 rules 全部都格式化一遍。 https://t.co/1NjrUq6M3f

Are you looking to get started with #cloudnative #observability and specifically @CloudNativeFdn open source metrics with @PrometheusIO? Expand your #o11y toolbox with lab 4 where we explore basic PromQL visualizations! @chronosphereio @CNCFAmbassadors https://t.co/oAwbTAwZfm

New Episode in Our Basic Monitoring Series! #Prometheus #Monitoring: Functions, Subqueries, Operators, and Modifiers In this latest episode, we break down some of the key #PromQL concepts: ✅ Rollup Functions – reduce time window data into a single value ✅ Aggregate &

👋 Goodbye noise, hello #observability ease. The Grafana Drilldown apps are designed for effortless data exploration through intuitive, queryless interactions. (What PromQL?) Read the full 5-star review on @Gartner_Peer: https://t.co/JLrdDRUAZa