Open source observability for metrics, logs, traces, and dashboards
Grafana is an observability and data visualization platform for engineers who need to monitor infrastructure, applications, and services.
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AI Editor ApprovedApproved and published by our AI Editor-in-Chief after full panel analysis.In practice, users connect Grafana to one or more data sources, then construct dashboards using a panel editor that supports a wide range of visualization types—time series charts, heatmaps, tables, stat panels, and more. Queries can be written in the native query language of each data source (PromQL, LogQL, TraceQL, SQL, etc.) and transformed within the panel before rendering. Dashboards can be shared across teams, templated with variables, and organized into folders with access controls.
Grafana's distinguishing capability is its composable observability stack. Beyond dashboards, the platform ships with Grafana Alerting for rule-based notifications, Grafana IRM for on-call scheduling and incident coordination, SLO management, synthetic monitoring, and k6-based load testing. On the data side, Grafana maintains purpose-built open source backends: Loki for logs, Mimir for metrics (Prometheus-compatible), Tempo for distributed traces, and Pyroscope for continuous profiling. Grafana Alloy is the OpenTelemetry collector distribution used to ship telemetry into these backends. Grafana Beyla provides eBPF-based auto-instrumentation without code changes.
Grafana targets software engineers, DevOps and platform teams, and SREs responsible for operating applications and infrastructure. Grafana OSS is free and self-hosted under the AGPL license. Grafana Cloud offers a free tier and paid plans starting at usage-based pricing, with enterprise tiers available under a commercial license. Competitors in the observability and dashboarding space include Datadog, New Relic, Dynatrace, and open source alternatives such as Prometheus with its own UI.
Grafana Cloud runs as a managed SaaS platform accessible via web browser. The self-hosted OSS version runs on Linux, macOS, Windows, and in containers/Kubernetes. The platform exposes HTTP APIs for automation, supports provisioning via configuration files, and integrates with hundreds of data sources through official and community-built plugins.
Machine-learning-driven alerting that dynamically adjusts alert thresholds based on observed data patterns rather than static rules.
An AI assistant and automated incident investigation tool (Sift) that analyzes error patterns and assists with root-cause investigation during incidents.
Maps and displays relationships between services and resources in Grafana Cloud to provide topology context during investigation and monitoring.
Allows users to define, track, and manage service level objectives within Grafana Cloud's alerting and IRM workflows.
Users can define alert rules, configure notification routing, and manage alerts across their observability data in both Grafana OSS and Grafana Cloud.
Provides on-call schedules, escalation policies, and incident coordination workflows to manage and respond to production incidents.
Users can create and use interactive dashboards with multiple visualization types to display metrics, logs, traces, and profiles from connected data sources.
Enables synthetic uptime checks and k6-based load and performance testing to proactively validate service availability and performance.
Grafana consolidates metrics (Mimir/Prometheus), logs (Loki), distributed traces (Tempo), and continuous profiles (Pyroscope) into a single platform for full-stack observability.
Offers prebuilt integrations for infrastructure and services, plus fleet management tooling to configure and manage collectors and telemetry pipelines at scale.
Prebuilt monitoring workflows for Kubernetes clusters and cloud providers (AWS, Azure, GCP) using integrations and dashboards in Grafana Cloud.
Grafana Beyla uses eBPF to automatically instrument applications and ship telemetry without requiring code changes.
Perfect for personal projects, exploring new ideas, and early-stage startups. No charges ever.
Ready for scaling with more retention, basic support, and usage-based pricing. $19/month platform fee plus usage above free tier limits.
Full-service offering for companies with security, compliance, and deployment requirements. Starts at $25,000/year spend commitment.
Grafana is the default observability stack — open source, battle-tested, hard to displace.
“Dominant in the category with a free OSS tier, a $19/month cloud entry point, and FedRAMP-certified enterprise tier. The only real tradeoff is setup complexity versus Datadog's plug-and-play.”
Grafana isn't a startup bet. It's the observability standard that Datadog, New Relic, and Dynatrace compete against. The composable stack — Loki, Mimir, Tempo, Pyroscope — means you can go deep without vendor lock-in, and the free tier with 10k active metric series gives real evaluation room before any spend. That's a defensible position at every level of the org.
Two things I'd flag. One: the Pro plan's usage-based pricing ($6.50/1k metric series above the free tier) can compound fast on large fleets — model it before you commit. Two: Beyla's eBPF auto-instrumentation and Sift's AI incident analysis are genuinely differentiated versus Datadog's equivalent features, not just catch-up.
The $25k/year enterprise floor is real, but for teams already running Prometheus and Kubernetes, this is the natural graduation path. Skip this only if your team can't staff the operational overhead of self-hosted.
Beyla's eBPF auto-instrumentation and Adaptive Telemetry's claimed 80% cost reduction are real differentiators Datadog can't match on open-source terms.
Grafana is the board-safe choice — peers, SREs, and investors recognize it immediately as the industry standard.
Grafana Play requires zero registration, but dashboard depth and PromQL/LogQL queries mean meaningful ramp time before full value lands.
Unified metrics, logs, traces, and profiles under one roof advances platform maturity, not just cost reduction.
Grafana Labs is a decade-in, category-defining company with FedRAMP and SOC Type II certs — not a funding story to monitor.
Engineering teams already running Prometheus or Kubernetes who want unified observability without Datadog's lock-in pricing.
Your team has no ops bandwidth for self-hosted tooling and needs same-day instrumentation out of the box.
Grafana is the default observability bet for any engineering org that wants stack ownership.
“The composable stack — Mimir, Loki, Tempo, Pyroscope — is a genuine architectural moat. If you adopt Grafana Cloud today, in 3 years you have a unified telemetry platform that you control, not one that controls your pricing.”
Grafana's architecture tells you everything. Mimir for metrics, Loki for logs, Tempo for traces, Pyroscope for profiles — four purpose-built backends, each open-sourced, each Prometheus-compatible or OpenTelemetry-native. That's not a vendor building features; that's a team that understands data plane design. Beyla's eBPF auto-instrumentation and Alloy as an OTel collector distribution show they're building for orgs that can't touch every service codebase. The $19/month Pro floor plus usage-based pricing above 10k active series means you scale cost linearly, not via surprise contract renegotiation like Datadog.
The tradeoff is real: PromQL, LogQL, TraceQL, SQL — you're managing four query languages across one UI. Datadog abstracts this. Grafana doesn't, and that's a deliberate philosophy, not an oversight. SREs who live in the terminal will love it; teams without observability maturity will struggle at the query layer.
Sift and Grafana Assistant are the AI layer — automated incident investigation and dynamic alerting thresholds. These are still maturing relative to Dynatrace's Davis engine, but the knowledge graph providing topology context is the right architectural foundation. FedRAMP and SOC Type II certifications mean regulated industries aren't blocked. This is the stack I'd bet on for a 3-year horizon.
Grafana sits at the center of the open-source observability ecosystem in a way Datadog and New Relic structurally cannot; the Adaptive Telemetry suite's claimed 80% cost reduction sharpens the commercial case.
PromQL/LogQL/TraceQL query parity, k6 load testing, and IRM on-call scheduling maps directly to how SRE and platform teams actually operate.
Hundreds of plugins, Grafana Alloy as OTel collector, and Kubernetes/AWS/Azure/GCP prebuilt integrations cover the vast majority of modern engineering stacks without rip-and-replace.
AGPL OSS core plus OpenTelemetry-native backends means you're not locked into Grafana's pricing; you're locked into your own data plane, which is the right trade.
Four open-source backends plus eBPF instrumentation signals genuine platform engineering depth, not dashboard-layer thinking.
Platform and SRE teams who want full-stack observability without ceding data plane ownership to a closed vendor.
Your team lacks the query-language fluency to operate multi-backend observability without heavy abstraction.
$19/month platform fee plus usage-based overages — math gets complicated fast at scale.
“Grafana Cloud's pricing page is unusually honest: three tiers, all visible, no sales call required. Usage-based billing above the free tier means year-3 costs depend entirely on telemetry volume discipline.”
Free tier is real: 10k active metric series, 50 GB ingested, 14-day retention. Pro starts at $19/month platform fee — but that's the floor, not the ceiling. Metrics overage at $6.50/1k series. Logs write at $0.40/GB. A 50-engineer team shipping serious telemetry lands $2K-$8K/year easily, maybe more. No published cap on overage exposure. That's the real risk.
Enterprise commits at $25K/year minimum. Volume discounts push metrics to $3/1k series — less than half the Pro rate. Compare to Datadog, where a similar stack routinely runs $60K-$120K/year at 50 engineers. Grafana's OSS exit valve also limits lock-in risk. Adaptive Telemetry claims 80% cost reduction — plausible with careless instrumentation, but verify against your actual ingest before budgeting it.
Contract terms aren't fully public beyond the commit structure. Auto-renewal windows and termination clauses require a sales conversation at Enterprise tier. Pro is month-to-month by inference — usage-based billing suggests no hard term. Procurement teams will appreciate the self-serve path; legal teams will want the Enterprise MSA reviewed carefully.
Self-serve Pro billing is low-friction; Enterprise procurement requires a sales engagement but FedRAMP and SOC II certifications reduce compliance overhead.
Pro appears month-to-month; Enterprise requires $25K/year commitment with undisclosed auto-renewal and cancellation terms.
Three tiers fully published with per-unit overage rates visible on the pricing page — rare for an observability platform.
SLO management and IRM features tie directly to uptime value; the 80% cost-reduction claim from Adaptive Telemetry is specific but unverified without customer data.
Usage-based overages for logs ($0.40/GB write) and metrics ($6.50/1k series) create unpredictable year-3 costs without telemetry governance in place.
Platform or SRE teams that want transparent usage-based pricing with an OSS fallback and existing Prometheus or Loki investments.
Teams without telemetry volume discipline — uncapped overage exposure will make year-3 budgeting unreliable.
The SRE stack that actually ships with a backend, not just a pretty dashboard.
“Grafana is the composable observability platform SREs actually run in production — OSS roots, real backends, and a Cloud tier that doesn't force a rip-and-replace. The AI layer is genuinely integrated, not cosmetic.”
Mimir for metrics, Loki for logs, Tempo for traces, Pyroscope for profiles — four purpose-built backends, all OpenTelemetry-compatible, all composable. Grafana Alloy as the collector distribution means your telemetry pipeline isn't a black box. Beyla's eBPF auto-instrumentation ships telemetry without touching application code. That's a serious stack. Datadog gives you this too, but you're renting every piece of it.
Day-three reality: PromQL, LogQL, and TraceQL are each their own learning curve. Panel editor query transforms work, but debugging a misfiring alert rule that crosses data sources will eat an afternoon. The 14-day retention on the Free tier is a real constraint for incident retrospectives — you'll hit it. Pro starts at $19/month but usage-based metrics pricing at $6.50/1k series scales fast at production cardinality.
Sift for automated incident investigation and Dynamic Alerting with ML-adjusted thresholds are the AI features worth watching — the docs indicate both are Cloud-only. SLO management and IRM on-call scheduling live alongside the dashboards, not bolted into a separate product. That integration is the actual moat.
Multi-query-language environment is powerful but demands daily fluency; OSS self-hosting adds operational overhead Datadog users never see.
Docs cover PromQL, LogQL, TraceQL, and provisioning via config files at the depth an SRE actually needs — changelog is active and specific.
Cross-data-source alert debugging and cardinality management are recurring friction points at production scale.
Templated dashboards, HTTP API automation, fleet management, Adaptive Telemetry, and Beyla eBPF instrumentation give power users a real ceiling to grow into.
Hundreds of plugins, Kubernetes and cloud provider prebuilts, and no rip-and-replace requirement make this fit existing SRE toolchains cleanly.
Platform and SRE teams who want a composable, open-standards observability stack without full vendor lock-in.
Your team wants a single query language and fully managed telemetry with no cardinality management overhead.
The dashboard that actually knows your whole stack — if you're willing to learn it
“Grafana is the real deal for DevOps and SRE teams who need metrics, logs, traces, and profiles in one place without vendor lock-in. The free tier is genuinely useful; the depth is genuinely demanding.”
Ten thousand active metric series on the free plan, Loki for logs, Tempo for traces, Pyroscope for profiles — all connected. That's not a teaser, that's a working observability stack at $0. The Pro tier starts at $19/month and scales on usage, which beats Datadog's invoice anxiety by a wide margin. Grafana Play lets you poke around with no account, which is a confident move. Most tools hide until you hand over an email.
The learning curve is real, though. PromQL, LogQL, TraceQL — you're picking up query languages, not clicking dropdowns. Day three without a background in Prometheus and you're Googling syntax. The Grafana Assistant and Sift features are trying to soften that, but they're cloud-only. The AI-assisted root-cause investigation is genuinely useful territory once you're past the setup hill.
Mobile is read-only at best, which for a platform marketing itself as incident-response-capable stings a little. On-call doesn't wait for a laptop. That's the honest gap between what the IRM features promise and what you can do from your phone at 2am.
Dashboard editor and panel types are mature and well-considered, but the experience varies noticeably between OSS and Cloud — two teams, two polish levels.
Multiple query languages, composable backends, and fleet management tooling mean month three looks very different from hour one — powerful but steep.
A platform with IRM and on-call scheduling that doesn't offer real mobile functionality is a meaningful gap for the people who actually get paged.
Grafana Play deserves credit for zero-friction exploration, but connecting real data sources and writing first queries is homework, not a welcome mat.
The changelog shows years of steady iteration and the OSS community is enormous — this isn't a fragile product; it's infrastructure-grade.
DevOps and SRE teams who want a composable, open-standards observability stack without Datadog-scale invoices.
You need a polished, mobile-capable incident response tool and don't have engineers willing to own the query layer.
Eleven-year-old category anchor. OSS roots make the exit story unusually clean.
“Grafana isn't pitching a new category — it owns one. The open-source core, composable stack, and no-lock-in angle are credible because the AGPL license and self-hosted path actually exist.”
Three tells worth noting. One: 'agentic era' in the meta description — the kind of superlative that ages poorly. Two: the AI features (Sift, Dynamic Alerting) are real named capabilities, not vaporware bullets. Three: $25,000/year enterprise floor is a real number, not 'contact us' theater.
The exit portability here is genuinely strong. PromQL, LogQL, OpenTelemetry — all open standards. If Grafana Cloud goes sideways, you run OSS on your own infra. Datadog can't say that. New Relic can't say that. That's a durable differentiator, not a marketing claim.
Tradeoff: the composable stack (Loki, Mimir, Tempo, Pyroscope, Alloy, Beyla) is powerful but operationally heavy if self-hosted. The free tier's 14-day retention limit will push real users to Pro fast. Complexity ceiling is real. But the moat is real too.
Datadog and Dynatrace are closed-stack; Grafana's composable open-source backends plus no-rip-and-replace plugin model is a structurally different bet, not a feature-list difference.
AGPL OSS core, open query languages (PromQL, LogQL, TraceQL), and OpenTelemetry-native Alloy collector mean migration off Cloud to self-hosted is a realistic path, not a hypothetical.
FedRAMP certification, $25k enterprise minimums, named Observability Architect support tier, and a changelog that ships named products (Beyla, Alloy) all point to a well-funded, durable operation.
'Agentic era' headline is fashionable overreach, but named features like Sift and Beyla eBPF instrumentation are specific and verifiable — grounded underneath the buzzword layer.
Grafana has been the default OSS dashboard layer for Prometheus-based stacks for years; changelog activity and the Loki/Mimir/Tempo ecosystem show sustained shipping, not coasting.
Platform and SRE teams who want full-stack observability without vendor lock-in and already run Prometheus-based infrastructure.
You need a fully managed, zero-config observability solution and don't have engineering bandwidth to operate a composable stack.
Common questions answered by our AI research team
Yes, Grafana Cloud has a Free Forever plan available at no cost.
Grafana Cloud holds FedRAMP, NATSEC100, PCI DSS, A-LIGN, AICPA SOC Type II, and GDPR certifications.
Yes, Grafana connects to existing tools and data sources—including Prometheus, Loki, Tempo, and dozens of third-party systems—with hundreds of plugins and integrations, requiring no rip-and-replace.
Grafana Cloud's Adaptive Telemetry suite can cut telemetry costs by up to 80% by automatically identifying valuable data and aggregating the rest.
Yes, Grafana Play lets you try Grafana Cloud instantly with no registration required.
Founded
2014Pricing
From $19/moFree Plan
AvailableGrafana Labs is a New York-based observability platform company that develops open-source and commercial tools for monitoring metrics, logs, traces, and application performance data.
