📣 Great news! SQL expressions are now available in public preview in Grafana OSS and Grafana Cloud! This is a versatile and powerful feature that opens up all sorts of creative possibilities by manipulating and combining data from different data sources. See how you can start putting them to use today: https://lnkd.in/gRAXZvSg
Grafana Labs
Software Development
New York, NY 251,758 followers
Open observability cloud
About us
Grafana Labs provides an open and composable observability stack built around Grafana, the leading open source technology for dashboards and visualization. There are 5,000+ Grafana Labs customers, including Bloomberg, Citigroup, Dell Technologies, Salesforce, and TomTom, and 25M+ Grafana users around the world. Grafana Labs helps companies achieve their observability goals with the LGTM Stack, which features scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo) as well as extensive enterprise data source plugins, dashboard management, alerting, reporting, and security. The fully managed Grafana Cloud offering helps organizations get observability up and running easier and faster, with turnkey solutions for Kubernetes and infrastructure monitoring, incident response management, load testing, application observability, and more. Grafana Labs is backed by leading investors Lightspeed Venture Partners, Lead Edge Capital, GIC, Sequoia Capital, Coatue, J.P. Morgan, and CapitalG. Follow Grafana Labs on LinkedIn and Twitter or visit grafana.com.
- Website
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https://grafana.com
External link for Grafana Labs
- Industry
- Software Development
- Company size
- 1,001-5,000 employees
- Headquarters
- New York, NY
- Type
- Privately Held
- Specialties
- Monitoring, Observability, and Dashboards
Products
Grafana Labs
Cloud Monitoring Tools
The Grafana Stack by Grafana Labs helps companies manage their observability strategies with LGTM (Loki, Grafana, Tempo, and Mimir), which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise offerings, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo) as well as extensive enterprise data source plugins, dashboard management, alerting, reporting, and security. Grafana Cloud is the fully managed offering that's the easiest way to get started with observability. Extend your observability with turnkey solutions for K8s monitoring, load testing, IRM, application observability, and more.
Locations
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Primary
Get directions
29 Broadway
Penthouse
New York, NY 10006, US
Employees at Grafana Labs
Updates
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Grafana Labs reposted this
At MiQ, our team had to juggle various systems to see what was going on across our 8 Kubernetes clusters. By moving to Grafana Cloud, we now have unified visibility and can empower our developers to troubleshoot issues independently. Really proud of the work that’s gone into this, and excited to see debugging time go from nearly an hour to just under 15 minutes. Thank you to Adrian Tan, Bradley Pettit, Jim Katsos & the team at Grafana Labs for helping us to streamline a complex ecosystem and evolve our observability journey. Ambarish Kumar Singh and I shared our experience in a case study, which you can read here: https://lnkd.in/ggUtxCyM
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👋 We can't wait to see you all at #KubeCon + CloudNativeCon North America 2025! See the sessions we're leading around Prometheus, OTel, and more, and swing by booth #444 in the sponsor solutions showcase to meet the team and score some swag: https://lnkd.in/g_Cy3zvt
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🛜 Telecom company C Spire achieved a 30% reduction in CPU usage and 95% adoption across its App Dev teams — spanning over 1,000 services and VMs. ... And they did it all alongside regular development work. That’s the power of Grafana Cloud and open standards. “[Grafana Cloud’s Application Observability] was what finally 100% sold us on moving to the cloud — it gave us request, error, and duration metrics automatically, something we never had before.” — Zachary Sistrunk, C Spire Hear the full story 👉 https://lnkd.in/gJKtQJKt
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🛑 Stop thinking about observability in terms of siloed pillars. With Grafana Cloud's opinionated solutions, you can combine your signals to optimize performance, minimize waste, and help you focus on the data that truly matters: https://lnkd.in/guPp6gRS
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Grafana Labs reposted this
AI has a slop problem. Every day we scroll past the same thing: ✨ “AI demo” videos with perfect music ✨ Screen-less “magic” workflows ✨ Zero real context, zero real users ✨ Hype wrapped in a story about a future product It looks impressive, but it doesn’t ship. It doesn’t scale. It doesn’t solve anyone’s real problem. At Grafana, we take a different path: We build actually useful AI — not demos. AI that runs in real environments, under real pressure, in real workflows. AI that helps engineers investigate incidents, understand systems, and ship with confidence. Not a cinematic prototype — a product that works today. No slow-motion B-roll. No mystical voiceovers. Just real work, real users, real results. Useful > Viral. Shipped > Schemed. Working > Wishing. The industry doesn’t need more AI theater. It needs useful AI that makes life easier — starting now.
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🕑 It’s 2:17 a.m. A subtle spike appears that wouldn’t trip any thresholds, but it doesn’t go unnoticed. Before the on-call engineer’s phone can buzz, a host of AI agents embedded in Grafana Cloud are already at work. In The AI Journal, Hannah Algar explores how AI agents in Grafana Cloud can connect the dots — analyzing data, suggesting fixes, and logging every step for the human on-call — all before alerts can even fire. At Grafana Labs, we’re building actually useful AI, with Grafana Assistant and Assistant Investigations helping teams make incident response more autonomous, transparent, and human.
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🧩 Configuring Grafana Alloy is like assembling LEGO blocks. Each component can be mixed and matched to build your observability pipeline! In Episode 3 of Grafana Alloy for Beginners, Lisa Jung breaks down the Alloy configuration language used to instruct Alloy how to collect, process, and export telemetry data. 🎥 Watch now for a crash course on the fundamentals you need to start building your observability pipelines! https://lnkd.in/eXZhBUnt
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