Intelligent observability for complex stacks
Opsphere is an AI-native operations platform that monitors, correlates, and resolves infrastructure incidents — before your customers notice and before your team burns out.
THE PROBLEM
Modern infrastructure is too complex to monitor manually
The average engineering team at a 50-person company now operates 40-80 distinct cloud services across multiple regions, connected by hundreds of dependencies — many of them implicit.
Legacy monitoring tools were built for a world of 10 servers, not 10,000 ephemeral containers. They generate noise at scale, miss cross-service correlations, and leave your team reacting instead of preventing.
The result: burned-out SREs, recurring incidents, and an on-call rotation that no one wants to be on.
Alert overload kills signal
200+ alerts per day means critical signals disappear into noise. Your team learns to ignore alerts — and the one they ignore might be the one that matters.
No cross-service correlation
Your monitoring tools see one service at a time. They don't know that a Lambda cold-start, an RDS timeout, and a payment failure are the same incident.
Runbooks age out of date
Your runbooks describe last quarter's architecture. Auto-scaling and continuous deployment mean your incident playbook is always six releases behind.
SYSTEM OVERVIEW
Three layers, one intelligent system
Opsphere layers AI Intelligence over your existing infrastructure — connecting signals, understanding topology, and acting with the context of your entire stack.
Observe Everything
A read-only connector syncs your entire resource topology — services, dependencies, deployments, and events — into Opsphere's unified data model in real time.
Understand Context
The AI engine maintains a living map of your service dependencies and baselines. When signals deviate, it understands what's connected to what — and traces the blast radius instantly.
Act With Precision
Opsphere generates a single, prioritized incident — with root cause identified, blast radius mapped, and a contextual runbook ready — before your engineer's phone rings.
TECHNICAL BREAKDOWN
Engineered for the way production actually works
Under the hood, Opsphere is built on a set of systems that work together to deliver reliability intelligence at scale.
Dynamic Topology Graph
Opsphere maintains a real-time directed graph of all your infrastructure resources and their dependencies. The graph auto-updates with every deployment, scaling event, and config change.
Multivariate Anomaly Detection
Rather than threshold-based alerting, Opsphere models the natural covariance between metrics. An EC2 CPU spike that's always paired with high network I/O doesn't alert — but a CPU spike alone does.
Causal Inference Engine
When anomalies are detected across multiple services simultaneously, the AI traces the probable causal chain using a combination of topological proximity, temporal ordering, and historical incident patterns.
Context-Aware Runbook Synthesis
Every incident triggers an LLM-powered runbook generator that's aware of your actual resource names, current state, and previous similar incidents. No more generic templates.
Predictive Degradation Signals
Opsphere's forecasting models identify pre-incident patterns — resource saturation trends, error rate creep, and queue depth accumulation — and surface them before they cascade.
Platform Specifications
- Data ingestion latency
- <500ms
- Topology update frequency
- Real-time
- Root cause confidence
- 94% avg
- Alert noise reduction
- ~98%
- Supported cloud providers
- AWS · GCP · Azure
- Max services monitored
- Unlimited
- Data retention
- 90 days (Enterprise: custom)
- Security certification
- SOC2
- SLA
- 99.99%
ARCHITECTURE
How it all fits together
Opsphere Platform Stack
All layers communicate in real-time
AI Intelligence Layer
Anomaly detection · Causal inference · Runbook generation · Incident prediction
Operations Orchestration
Incident management · Alert routing · Runbook delivery · On-call scheduling
Connector & Ingestion Layer
Read-only cloud connectors · Topology discovery · Metric streaming · Event capture
Your Infrastructure
EC2 · ECS · Lambda · RDS · S3 · Kubernetes · Serverless · Databases · Queues
GET STARTED
The platform your infrastructure has been waiting for.
Connect your stack in 4 minutes. See your first AI-resolved incident the same day.