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Your next incident
resolves in <60 seconds.
Not 45 minutes.
REMS is an AI-powered Observability platform that sits on your existing open-source stack — turning raw telemetry into autonomous root cause diagnosis, structured incident response, and proactive reliability management.
Your stack sees everything.
Your team still can't find the answer.
Every major incident begins the same way: ten engineers, six dashboards, forty-five minutes — and the answer was in the data the entire time.— The pattern across 200+ enterprise SRE teams we've worked with
Tool Sprawl
Your team juggles 5+ disconnected dashboards — Grafana, Loki, Kubernetes, APM — with no shared context. Every incident starts with a scavenger hunt across tabs.
5+ disconnected dashboardsAlert Noise
Thousands of alerts fire daily. 80% are false positives. Engineers stop trusting signals — which means real incidents get missed, or found far too late.
80% of alerts are noiseWar Room Spiral
Within 10 minutes of an alert, 5–10 engineers are pulled off productive work. War room convenes. Root cause? Still unknown at minute 25. Business impact compounds.
~45 min average resolutionThe problem isn't that you lack data. You have metrics, logs, and traces. The problem is that the first 15 minutes of every incident are repetitive investigation work that should be automated — but isn't.
Three forces making the
status quo unsustainable.
The economics and the technology have both shifted. Continuing with the old model isn't a neutral choice — it's an expensive one.
Observability Costs Are Exploding
Telemetry volumes are growing faster than budgets. For many enterprises, observability tooling now rivals cloud infrastructure spend — and SaaS per-GB pricing makes it worse at scale.
SRE Talent Is Scarce and Expensive
Senior SREs are among the hardest engineering roles to hire. Yet most of their time is consumed by manual incident triage — repetitive work that burns talent and breeds attrition.
AI Has Reached the Tipping Point
AI can now reliably correlate metrics, logs, and traces across distributed systems in seconds. The gap between human-speed and machine-speed diagnosis is no longer acceptable.
Not a tool. A system.
Every observability tool shows you data. REMS is the first platform to combine observability, AI intelligence,
and an execution system — from signal to resolution without manual investigation.
REMS works because it operates in three integrated layers. Each layer is independently powerful — together, they're what enables incident resolution in under 60 seconds.
This isn't just AI bolted onto a monitoring tool. The architecture is fundamentally different: open-source at the foundation, AI intelligence in the middle, and a full execution system on top.
Incident response workflows, SLO & error budget management, automated remediation, and runbook execution.
When the three layers work together, this is the measurable result.
Metrics, logs, and traces via Prometheus, Loki, and Tempo. Unified telemetry. Real-time visibility. 100% your data.
Built for the realities of
production engineering.
Autonomous AI Diagnosis
When an alert fires, OLLY traces the signal across your entire stack, eliminates red herrings, and surfaces the root cause with concrete remediation steps — in under 60 seconds. Not anomaly detection. Actual diagnosis.
<60 second RCASLO & Error Budget Intelligence
SLOs are first-class citizens in REMS. Monitor burn rates in real time, get early warnings before you exhaust your error budget, and deploy with deployment gates tied directly to your SLO health.
Real-time burn-rate monitoringUnified Observability
A single pane of glass for metrics, logs, traces, and SLOs — correlated in context. Service Explorer maps your entire service topology so you see exactly where problems originate, not just where they surface.
Single pane of glassStructured Incident Response
AI-powered incident war rooms replace ad hoc Slack chaos. Every incident triggers a structured workflow with auto-generated RCA, severity classification, role assignments, and communication templates.
Auto-generated RCAFrom alert to resolution.
Autonomous, end-to-end.
Telemetry Ingestion
Prometheus metrics, Loki logs, and Tempo traces flow in real time. 100% telemetry — no sampling, no blind spots.
AI Signal Correlation
OLLY correlates signals across your entire stack simultaneously — eliminating noise and connecting dots at machine speed.
Root Cause Identified
The exact source is pinpointed and expressed in plain English. Not an anomaly. A diagnosis.
Remediation Surfaced
Actionable steps, auto-runbooks, and SLO defense actions are surfaced immediately — ready to execute.
Incident Closed
Structured postmortem and RCA documentation logged automatically. No manual paperwork.
It's 2 AM. An alert fires.
Here's what happens next.
The same incident. Two completely different outcomes.
Without REMS
Alert fires. Team scrambles across Grafana, Loki, K8s — 3+ tabs open simultaneously. No shared view.
App pods, CPU, memory all checked. Nothing found. Engineers start a Slack thread. War room forming.
Redis checked manually — latency OK. Still no root cause. 5–10 engineers now fully interrupted.
MinIO bottleneck finally found via manual correlation. Business impact sustained for 40+ minutes.
With REMS (<60 seconds)
App latency spike detected — P99 > 5s. REMS begins cross-system correlation automatically.
Redis cleared as healthy. No anomaly. Candidate eliminated from investigation instantly.
MinIO flagged — GET latency at 4,800ms (normal: 120ms). Storage bottleneck confirmed.
Root cause confirmed. Remediation steps surfaced: scale replicas, trigger runbook. One engineer executes.
Not a cheaper Datadog.
A fundamentally different architecture.
| Dimension | REMS by OpsTree | Datadog | New Relic | Dynatrace |
|---|---|---|---|---|
| Pricing | ✓ Infrastructure-based — predictable | Host + ingestion, spikes at scale | Per-GB, grows with data | Host + licensing, expensive |
| Data Sampling | ✓ 100% telemetry — zero blind spots | ✗ Sampling at scale | ✗ Forces sampling | Strong but costly |
| AI / RCA | ✓ Autonomous diagnosis <60 sec | Anomaly alerts only | Anomaly alerts only | Reactive detection |
| SLO Management | ✓ First-class, integrated | Add-on module | Separate product | Separate product |
| Deployment | ✓ On-prem / VPC / Cloud | Cloud SaaS only | Cloud SaaS only | Cloud-centric |
| Data Ownership | ✓ Your infrastructure, always | ✗ Datadog's cloud | ✗ NR servers | ✗ DT cloud |
| Vendor Lock-in | ✓ Zero — CNCF open-source | ✗ High | ✗ High | ✗ High |
| Foundation | ✓ 100% open-source | ✗ Proprietary | ✗ Proprietary | ✗ Proprietary |
The brain that
powers REMS.
REMS has AI built into its core - not bolted on. It doesn't just detect anomalies - it understands them. Built for enterprises that need to be ahead of failures, not reacting to them.
- 1 Correlates metrics, logs, and traces across your entire service topology simultaneously - not one signal at a time.
- 2 Identifies root cause in seconds using context and pattern recognition built from real enterprise incident data.
- 3 Communicates findings in plain English - no PromQL or log query syntax needed to understand what happened.
- 4 Works directly with your existing Prometheus, Loki, and Tempo stack. No rip-and-replace. No agent sprawl.
- 5 Feeds into the REMS execution layer to surface remediation steps, trigger runbooks, and defend SLOs automatically.
Real results from teams that
didn't accept the status quo.
Three deployments. Three different industries. One consistent pattern — REMS delivers measurable, auditable impact.
India's Largest OTT Platform
33M+ concurrent users, 1TB+ daily logs. Needed predictable costs, faster resolution, and zero tolerance for downtime. Log-to-metrics conversion and AI RCA deployed on open-source foundation.
Global Customer Communication Platform
Delivering mission-critical communications for Fortune 500 companies. Replaced fragmented, reactive monitoring with centralized real-time visibility via OpenTelemetry in 30 days.
Ports & Terminals — 150+ Sites
75+ countries, 150+ ports and terminals. Required unified intelligence while maintaining regional data residency. On-prem edge monitoring via Prometheus + GitOps-driven deployment.
What changes when engineers
stop firefighting.
REMS doesn't just reduce incident resolution time. It changes how your engineering organization operates — permanently.
Your next incident should
resolve in <60 seconds.
Start where you are. Whether you need observability foundations or are ready for full AI-led incident automation — REMS meets your team at your current maturity level.
Runs on your infrastructure · Zero data lock-in · 100% open-source ·
Trusted by global brands
