Solutions · Daily Cloud Operations

What could you accomplish with Oscar today?

Not just a project. Not just a prompt. Your working day, with context.

If you run cloud for a living, most tools want to sell you a transformation. This page is about Tuesday. The health check before standup, the cost question from finance, the incident at 2pm, the change you'd rather not break production with. Oscar covers the daily work, grounded in a live graph of your environment.

Free download. Runs locally. Your credentials never leave your machine.

The Idea

Oscar is an AI cloud engineering agent grounded in the Cloud Intelligence Graph™, a live picture of your resources, dependencies, ownership, cost, and change history. That grounding is the difference between an assistant that talks about clouds and one that knows yours. Here is what that means across a normal day.

A Day With Oscar

The daily work, one prompt at a time.

Every answer below draws on the graph: topology, ownership, dependencies, change history. No tagging project first, no dashboard archaeology.

oscar
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Checked 14 accounts, 3 regions, overnight changes and alarms.
2 findings need attention: a failed backup job in staging, a new unowned IAM role.
✓ Both added to your queue with owners suggested.
Spend up 4.1% week over week.
Driver: NAT gateway data transfer in prod-east, started Tuesday after the v2.3 deploy.
1 new savings finding queued: idle capacity in the batch cluster.
Correlated deploys, config changes, and dependency health.
Root cause candidate: connection pool change in orders-db at 13:42.
Blast radius: 2 downstream services. Fix drafted, awaiting your approval.
Walked every attachment and rule reference.
3 dependencies found, 1 in production: legacy cron host still allows ingress via this group.
✓ Safe retirement plan drafted with the cron host migrated first.
Checked backup coverage, recovery points, and untested restore paths.
2 Tier 1 services have recovery points older than policy.
Findings queued. Want the full Backup Posture Assessment for the evidence trail?
Your queue has 23 open improvements from 3 sources.
Top 3 by ROI and safety: all safe verdicts, owners confirmed, reasoning attached.
✓ First one is a 20-minute change. Walk through it together?
Answers grounded in your Cloud Intelligence Graph™ · illustrative output

Illustrative answers from a sample environment.

The Checklist

The daily operations capabilities checklist.

Print this against your current tooling. Each line is something a cloud engineer does regularly, and something Oscar does with the graph behind it.

  • Health check: every account each morning, with findings queued and owners suggested
  • Cost summary: on demand, with the why behind every change in spend
  • Incident investigation: correlated across deploys, config, and dependencies
  • Pre-change safety: dependencies, blast radius, and who to notify
  • Ownership: answers from evidence, not stale wiki pages or tag hygiene
  • Backup readiness: checked against actual recovery points
  • The queue: one prioritized improvement queue absorbing findings from every source
  • AI-assisted fixes: human approval on every action, verification after

When The Day Gets Bigger

The same graph can handle big jobs, too.

Daily operations and major initiatives run on the same understanding. When a day's finding becomes a quarter's project, nothing starts over.

Reduce Cloud CostsAssessment available

Where are we overspending, and what is safe to reclaim?

Improve Backup ReadinessAssessment available

Can we actually recover, and can we prove it?

Investigate an IncidentJourney page coming

What happened, what did it touch, and how do we keep it closed?

Initial Project DiscoveryAssessment available

Where do we start, and what is actually connected to what?

Evaluate AI ImpactAssessment available

What is AI costing us, what are our agents doing, and what could go wrong?

Compounding

Each day worked in Oscar makes the next one faster.

Every investigation, decision, and completed fix accrues in the Cloud Intelligence Graph™ as institutional memory. The dependency you mapped during an incident is already there for next month's change review. The ownership question you settled once stays settled.

That is the quiet difference between an AI chat session and a system: the session forgets, the graph remembers, and Oscar gets more capable with every improvement your team completes.

Investigations plus decisions plus completed fixes compound into a smarter graph
Coming Soon

Oscar is coming to Claude Code, Cursor, Codex, and your LLMs. Oscar will work inside the tools your engineers already use.

Connect Oscar where you already work. Free local Oscar for individual operators; Oscar Pro adds the shared graph and a team task queue, so findings, context, and fixes stop living in one person's session.

FAQ

Daily Cloud Operations, answered.

Who is Daily Cloud Operations for?

DevOps engineers, SREs, platform engineers, and cloud engineers who want an AI agent that helps with the regular work: health checks, cost questions, incident investigation, safe changes, and working a prioritized improvement queue. No transformation program required.

How is this different from the Oscar product page?

The Oscar Ops page describes the product: how Oscar works, what it connects to, and how it stays safe. This page describes the work: what a normal operating day looks like with Oscar in it. Same agent, same graph.

Do I need to tag or configure my environment first?

No. Oscar builds the Cloud Intelligence Graph™ from how your environment actually behaves: runtime signals, IaC repositories, and identity systems. Ownership and dependencies are inferred from evidence, and tag fixes come out as a byproduct rather than going in as a prerequisite.

Can Oscar make changes to my cloud?

Only with your approval. Oscar proposes actions with reasoning and evidence, and a human approves every action before anything changes. Discovery is read-only and uses your existing credentials, which never leave your machine.

Get Started

Put Oscar into your day.

Download Oscar free and get your first context-grounded answer in under 30 minutes.