The Better Grafana Alternative
Full-Stack Observability with an SRE Agent Built In

Tired of four separately billed backends, seven overlapping meters, and a Grafana Assistant that writes queries but never ships the fix? Switch to Middleware, a unified, OpenTelemetry-native observability platform with predictable pricing, one-minute setup that comes with OpsAI, an SRE Agent that ships the fix as a pull request.

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Why You Should Replace Grafana Cloud with Middleware

Full-Stack Observability

APM, Infrastructure, Logs, Distributed Tracing, RUM, Synthetic Monitoring, Databases, Containers, Kubernetes, Serverless, and LLM Observability. If you can monitor it in Grafana, you can monitor it here.

  • Every pillar included, one plan
  • OpenTelemetry-native, not bolted-on
  • OpsAI included, not a per-host add-on
APM, Infrastructure, Logs, Distributed Tracing, RUM, Synthetic Monitoring, Databases, Containers, Kubernetes, Serverless, and LLM Observability. If you can monitor it in Grafana, you can monitor it here.

Loki for logs, Mimir for metrics, Tempo for traces, Pyroscope for profiling, plus k6, IRM, and Grafana Assistant. Four backends stitched at the dashboard layer.

  • Four separately billed backends
  • Four query languages (LogQL, PromQL, TraceQL, profile)
  • Grafana Assistant billed per active AI user
Loki for logs, Mimir for metrics, Tempo for traces, Pyroscope for profiling, plus k6, IRM, and Grafana Assistant. Four backends stitched at the dashboard layer.

No Vendor Lock-In

Middleware built on OpenTelemetry from day one. Portable instrumentation, no proprietary agent, and one timeline where logs, metrics, traces, and events correlate automatically.

  • Standard OTel collectors, no fork
  • Cloud, on-prem, BYOC, or hybrid
  • Switch vendors without re-instrumenting
Middleware built on OpenTelemetry from day one. Portable instrumentation, no proprietary agent, and one timeline where logs, metrics, traces, and events correlate automatically.

OpenTelemetry-friendly, but the workflow lives inside the LGTM stack. Moving off touches dashboards, alert rules, IRM workflows, and Assistant configurations across four products.

  • LGTM-anchored workflows
  • Cross-signal correlation depends on data source config
  • Migration touches every product
OpenTelemetry-friendly, but the workflow lives inside the LGTM stack. Moving off touches dashboards, alert rules, IRM workflows, and Assistant configurations across four products.

Better Support and Experience

Every Middleware customer gets responsive, hands-on support, including a 1-hour SLA for critical issues. Dedicated shared Slack and Teams channels connect you directly with the engineers who built the product.

  • 1-hour critical-issue response SLA
  • Direct Slack / Teams channels
  • Self-serve signup, no mandatory sales motion

The Pro plan includes 8ร—5 email support. Premium Support and a dedicated Observability Architect are available exclusively with the Enterprise plan, which starts at a minimum annual commitment of $25K.

  • 8ร—5 email on Pro
  • Premium support gated to enterprise
  • Community forums for lower tiers

Honest Pricing

Simple, transparent pricing based on the data you actually send. There are no surprise charges for monthly traffic spikes, and OpsAI is bundled into the platform instead of being billed per host.

  • Pay per GB of data sent
  • OpsAI included with token-based price
  • 180-day log retention bundled

Grafana charges per active user, Mimir per 1K active series, Loki & Tempo per GB, Pyroscope per GB, k6 per virtual user hour, IRM per active user, and Assistant at $20/active AI user + $2 per 1M extra tokens

  • 7+ overlapping meters
  • Cardinality billed on Mimir
  • Enterprise $25K/year minimum

Zero Config

One install script, a lightweight OpenTelemetry Collector, and full-stack visibility in under a minute. Auto-instrumentation, service discovery, and Ingestion Control to drop noise in two clicks.

  • One-line install, no implementation engineer
  • Auto service + dependency discovery
  • No proprietary query language to learn
One install script, a lightweight OpenTelemetry Collector, and full-stack visibility in under a minute. Auto-instrumentation, service discovery, and Ingestion Control to drop noise in two clicks.

Each backend needs its own data source, retention policy, and query language. Assistant helps write queries, but the four-backend operational complexity remains.

  • Separate config per backend
  • Four query languages to maintain
  • Cardinality + retention controls per meter
Each backend needs its own data source, retention policy, and query language. Assistant helps write queries, but the four-backend operational complexity remains.

Telemetry Patterns

Service-level alerting on real metrics. Search every span you've sent. Click any log, jump to the trace. Slice by any high-cardinality dimension without watching a per-1K-series meter climb.

  • Service-level RED metrics on every operation
  • Full-history span search, not last 15 minutes
  • Logs-to-traces correlation for OTel data

Powerful when tuned, but cross-signal correlation depends on how well data sources are configured, and high-cardinality slicing hits the Mimir meter directly at scale.

  • Cardinality directly hits Mimir billing
  • Cross-source correlation is manual to configure
  • Assistant Investigations still in public preview

Point your existing Grafana alerts at Middleware & switch incrementally

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The first observability platform built around AI,
not bolted onto it

AI Dashboards

Describe what you want in plain English. Middleware builds the dashboard, picks the charts, and writes the queries. No PromQL, no custom query language, no template gallery to comb through.

AI Alerts

Alerts that learn what "normal" looks like for each service and surface only the deviations that matter. Anomaly detection that doesn't drown your on-call rotation in noise.

OpsAI ยท SRE Agent

An AI SRE that pinpoints root cause, identifies the offending line of code, and opens a pull request with the fix while you're still reading the alert. Auto-resolves issues with 80% accuracy.

AI K8s Root Cause Finder

Auto-structuring, severity detection, and pattern recognition built into log ingestion. No manual regular expressions, no parsing pipelines to maintain.

Auto-Fix ยท 60% Time Saved

Auto-fix across infrastructure and application layers with 80% accuracy. Engineers spend 60% less time on issue resolution โ€” and the rest on shipping product.

Testimonials

Customer Stories

Aceturtle

Middleware has played a very good role in transforming our observability and application performance. For instance, we reduced our total observability costs by 50%.

Read the story

Vivek Gupta

Founder & CEO

Hotplate

We're heavy users of RUM and have tried many tools before discovering Middleware. We've been using OpsAI for the past few weeks, and it has automatically resolved about 60% of our production issues.

Read the story

Rangaraj Tirumala

Founding Engineer at Hotplate

Clear Comparison

Feature-by-Feature Comparison: Middleware vs Grafana

Evaluate on your own. Here's how Middleware stacks up against Grafana, capability by capability.

Bottom line

Who each tool is really built for

Teams that want unified full-stack observability with an SRE Agent built in

Teams invested in the open-source LGTM stack

SRE Agent

(detect โ†’ fix โ†’ PR)

OpsAI

Grafana query copilot assistant

Auto-remediation

(code + K8s)

PR generation

Third-party alert ingestion

Datadog, Grafana, Dynatrace

Native only

BYOC / on-prem

Enterprise only

Value for money

Single-meter pricing, OpsAI included

7+ independent meters

Backends

Unified single platform

LGTM + Pyroscope + k6 + IRM

Query language

Unified, no proprietary DSL

LogQL + PromQL + TraceQL + profile

Ingestion pipeline

Per-backend

Custom / high-cardinality metrics

Bundled

Billed differently

Mimir bills per 1K active series

AI pricing

Included

Billed differently

Assistant $20/active user + token overage

Log retention

180 days included

30 days on Pro, custom on Enterprise

Annual commitment

None

$25K/year commit

Free trial

14 days, no credit card

Free tier with per-product caps

Dedicated technical support

All plans

Enterprise only

What customers get

The numbers after the switch

Averages across customers who migrated from Grafana Cloud to Middleware.

4ร—

Troubleshooting

Faster mean-time-to-detect with unified signals on one timeline.

50%

Cost Reduction

Reduction in observability spend versus Grafana Cloud contracts

1hr

Issue response SLA

Critical-issue response SLA on every plan

80%

Auto fixes with accuracy

OpsAI resolves issues end-to-end, saving 60% of engineer time.

You Don't Have to Rip Out Grafana on Day One

Already running Grafana Alerts? Forward it to OpsAI and let it investigate & fix incidents against your existing stack without re-instrumentation

Zero Re-instrumentation

Incremental Adoption

100% Data Continuity

Read the Migration Docs

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FAQs

Everything you want to know about Middleware v/s Grafana

What's the main difference between Middleware and Grafana Cloud's pricing models?

Middleware charges per GB of data ingested. Grafana Cloud bills across seven+ meters: dashboards per user, Mimir per 1K active series, Loki and Tempo per GB, k6 per virtual user hour, IRM per active IRM user, Assistant at $20/active AI user.

Does Middleware offer a free trial?

Yes โ€” 14 days, unlimited data ingestion across every feature including OpsAI. No credit card required.

How is OpsAI different from Grafana Assistant?

Assistant is a copilot for dashboards and queries; Investigations are still in public preview. OpsAI is an SRE Agent โ€” it investigates end-to-end, opens PRs with the code fix, and applies K8S remediation directly.

Can I keep using Grafana dashboards alongside Middleware?

Yes. OpsAI ingests Grafana alerts natively. Keep dashboards in Grafana, add the SRE Agent layer without a migration.

Can I save money by switching from Grafana Cloud?

Yes. Customers regularly see 30โ€“50% reductions once Assistant, IRM, and Enterprise plugins are in the mix. Send us your invoice for a line-by-line model.

Is Middleware OpenTelemetry-native?

Yes. OTel is the foundation, not an afterthought. Your instrumentation stays portable.

Optimize More. Worry Less. With Middleware.

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