AgenticOps

Cloud operations agents that run production, not just advise on it

CloudThinker deploys autonomous cloud operations agents that detect, analyze, remediate, and verify production issues end to end — under your team policy, with brokered credentials, sandboxed execution, and a tamper-evident audit trail. Engineers stay on the loop; the toil goes to the agents.

Connect read-only to start. No blanket access — agents earn autonomy one runbook at a time.

Running cloud operations by hand doesn't scale

The signal grows every quarter. The on-call rotation doesn't. Something has to close the gap between detect and resolve — safely.

Alerts pile up faster than people

Observability tells you something is wrong. Someone still has to wake up, investigate, and act. MTTR stays bottlenecked on the human in the loop.

Copilots suggest; they don't finish

A chat assistant hands you a command to paste. The work — and the risk of getting it wrong at 3 a.m. — is still yours to carry.

Autonomy without guardrails is scary

Handing an AI production credentials with no sandbox, no scoping, and no audit is how a demo becomes an incident. Most teams don't dare.
The DARV loop

How CloudThinker agents close the loop

Every cloud operations agent runs the same disciplined loop — Detect, Analyze, Remediate, Verify — so work gets finished, not just flagged.

Detect

Agents cluster raw signal from your observability and alerting stack into a real incident, cost anomaly, or security finding — not another page on noise.

Analyze

They walk the dependency graph, correlate context, and reason about root cause — retrieving how a similar problem was solved before so they start smarter.

Remediate

They execute the matching runbook inside a sandbox with scoped credentials — a reversible, policy-gated change, not a blind script against prod.

Verify

They confirm the fix held, roll back if it didn't, and write a tamper-evident record of every step so the next incident starts from what was learned.
Graduated autonomy

Trust is earned one level at a time

You don't flip a switch and hand production to an AI. Promote each agent — and each runbook — from L1 to L4 as it proves reliable. MTTR drops without giving up control.

L1

Observe & notify

The agent watches and pages a human. Zero write access.
L2

Propose & approve

It drafts the fix as a scoped diff; a human approves before anything runs.
L3

Act within guardrails

It acts inside a defined envelope and reports — you review outcomes, not keystrokes.
L4

Fully autonomous

Trusted runbooks run end to end within policy. Engineers stay on the loop.
Governance built in

Autonomy you can defend to security

The controls that make production-grade autonomy safe aren't bolted on — they're how CloudThinker agents run every task.

Brokered credentials

Per-task identity, scoped and issued at task time. No standing keys, no secrets in the prompt.

Sandboxed execution

Every action runs in an isolated environment where the credential lives in the sandbox, not the model context.

Deterministic tokenization

Sensitive data is tokenized at egress, so PII never reaches a third-party model in the clear.

Tamper-evident audit

Every decision and action is logged to an immutable record you can replay for compliance and post-mortems.

A specialist agent for every high-toil surface

One governed platform, purpose-built agents. Wire them into your stack with Connections and start where the pain is highest.

Resolve

Incident response and AI SRE — detect, investigate, resolve, and validate production incidents on the DARV loop.
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CloudKeeper + CostOps Agent

Continuous cloud-cost operations — find waste, right-size, and remediate spend under policy.
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Oliver + Cyber

Agentic security operations — surface, triage, and remediate findings across your cloud and code.
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What teams get from cloud operations agents

Outcomes compound as more runbooks graduate to autonomy — with the audit trail to prove every action was safe.

Lower MTTR, per runbook

Agents finish the response instead of stopping at the alert, and Memory makes every recurring incident faster than the last.

Cloud spend that self-corrects

The CostOps Agent finds and remediates waste continuously, so savings hold instead of drifting back after the quarterly review.

Fewer 3 a.m. pages

Autonomous agents take the night shift within their guardrails, so on-call reviews outcomes in the morning instead of firefighting overnight.

Frequently asked questions

Put agents on your production

Cloud operations agents that close the loop

Detect, analyze, remediate, and verify — under your policy, with a full audit trail. Start free with read-only Assessment, or book a demo.

  • Free to start, read-only
  • Brokered credentials, sandboxed
  • Tamper-evident audit