One operational layer. Every signal. Complete context
Unify signals across AWS, Kubernetes, Vercel and your entire stack. Reduce tool sprawl, gain real visibility, and operate production systems with clarity.
Unify signals across AWS, Kubernetes, Vercel and your entire stack. Reduce tool sprawl, gain real visibility, and operate production systems with clarity.
THE PROBLEM
Every tool shows part of the story. Understanding the full picture still requires jumping between dashboards, logs, alerts and deployment systems.
Logs, metrics, alerts, deployments, pipelines — each lives in a different system. You spend more time switching tools than understanding what's happening.
Signals are scattered across platforms. There is no single place to understand the real state of your system.
Alerts and dashboards are disconnected. Important signals get lost in a sea of irrelevant complexity.
As you scale and evolve, so does the operational burden. More services, more integrations, more failure points.
WHAT IS OPSPHERE
Opsphere connects the infrastructure, observability, deployment, code and edge systems your teams already use, bringing their operational context together without replacing them. Instead of forcing engineers to jump between disconnected tools, Opsphere queries the systems that already own the data, correlates what matters, and turns fragmented operational information into structured context for investigation and decision-making.
Your tools remain the source of truth. Opsphere connects the operational knowledge between them.
HOW IT WORKS
Opsphere works across your existing stack to retrieve the information needed for each operational question, correlate it across systems, and preserve the context that helps future investigations start with more understanding. The result is not another dashboard or telemetry store. It is a structured operational layer aligned with how your production environment actually works.
Connect to your existing stack
Use the cloud, Kubernetes, observability, deployment, code, security and edge platforms you already have. Opsphere works across them without requiring you to replace the systems your teams depend on.
Query and correlate operational evidence
Opsphere retrieves live information from the systems that own it and correlates infrastructure state, deployments, errors, code changes, network signals and other operational evidence when an investigation needs them.
Investigate with structured evidence
Operational questions can be evaluated through multiple hypotheses, evidence from real tool results, calculated confidence, timelines and explicit verification conditions instead of relying on a single black-box explanation.
Retain operational context
Opsphere can preserve useful relationships and structured knowledge from previous investigations so relevant services, environments and past findings can inform the next operational question without storing another copy of your telemetry.
Beyond querying tools one at a time, Opsphere includes read-only subagents that follow operational runbooks: outage triage, endpoint health, CI diagnosis, and post-mortem drafting. Invoke them with /outage-triage, /endpoint-health, /ci-investigator, or /postmortem-writer — they return a structured report with evidence, gaps, and next steps.
EVIDENCE-BACKED INVESTIGATIONS
Opsphere structures operational investigations around multiple possible causes and tests them against evidence from the systems you already use. Instead of jumping directly from a symptom to a root-cause story, Opsphere keeps facts separate from inference, evaluates supporting and contradicting evidence, calculates confidence from the available signals, and makes clear what still needs to be verified.
Evaluate several plausible explanations at the same time instead of committing too early to a single cause.
Link findings to real results from infrastructure, observability, deployment, code, network and other operational tools.
Confidence is derived from evidence quality, independent sources and contradictions — not simply from how confident an AI model sounds.
Define what must become true before treating a conclusion or recommended resolution as validated.
Facts, inference and confidence remain distinct — so teams can see why Opsphere reached a conclusion.
OPERATIONAL CONTEXT
Opsphere maintains a structured understanding of relevant operational relationships — such as services, environments, repositories, accounts and domains — and can reuse knowledge from previous investigations when it is relevant to the next problem. This context is retrieved selectively for the tenant, account and environment being investigated. The underlying metrics, logs, traces, code and infrastructure remain in the systems that already own them.
Maintain structured relationships between relevant operational entities so Opsphere can understand how parts of the environment connect.
Preserve structured findings, hypotheses, conclusions, evidence references, recommendations and verification from previous investigations.
Surface relevant previous investigations when symptoms, services, environments or other operational signals overlap.
Retrieve only the context relevant to the current tenant, account and environment instead of loading unrelated knowledge into every investigation.
Your tools remain the source of truth. Opsphere keeps the operational knowledge between them.
INTEGRATIONS
Cloud. CI/CD. Observability. Security. Deployment platforms. Everything connects into a single operational layer.
CURSOR INTEGRATION
Opsphere integrates natively with Cursor, allowing you to interact with your infrastructure directly from your development environment. Run operational queries, inspect systems, and execute actions without leaving your workflow. Local, remote, or server environments — Opsphere extends your operational capabilities where you actually work.
AI COMPATIBILITY
Opsphere supports integration with AI engines without forcing a specific model or vendor. Bring your own OpenAI or Mistral keys, or use managed options when needed. AI is applied as a processing layer to enhance decision-making — not as a replacement for your infrastructure.
Integrate OpenAI, Mistral, or other providers using your own API keys. Full control and data sovereignty — no vendor lock-in.
Need a simpler setup? Use Opsphere's managed AI layer for teams that prefer not to manage their own model integrations.
Fair and transparent consumption metrics. Pay for what you use with no hidden costs or usage limits per organization.
WHO IT'S FOR
Built for teams operating production systems, not managing dashboards.
Operate complex systems with limited resources, without adding more tools.
Unify cloud and frontend operations into a single view.
Understand system behavior across distributed services and integrations.
Align infrastructure as code with real-time operational visibility.
KEY BENEFITS
One platform to replace the context-switching, the dashboard proliferation, and the operational guesswork.
WEB CLIENT
Opsphere also offers a web-based client for remote access to your operational environment. Interact with your systems, run queries, and access insights without local setup. The web client is available as an optional add-on, with controlled AI usage and flexible token allocation per user.
No local setup required. Works from any device.
Strict session isolation — credentials never shared.
Token-based AI usage with flexible allocation per user.
PRICING
Opsphere is structured around a core platform with optional extensions. Start with the operational layer, then expand with web access and AI capabilities as needed.
€0/mo
Explore Opsphere MCP in secure evaluation environments.
€19/mo
For individual developers and infrastructure engineers.
MOST POPULAR
€299/mo
the first 3 months
Then €400/mo
For engineering teams seeking operational excellence.
€450/mo
For organizations with advanced security, governance, and scalability requirements.
Custom
Tailored adaptations for large organizations with unique requirements.
GET STARTED
Opsphere gives you the clarity to understand, control, and scale your infrastructure without adding complexity.
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