Solutions — Cloud Operations
A fundamentally different approach to daily ops.
Every other tool gives you another dashboard to watch. OpsCanvas gives your team correlated intelligence across your entire cloud estate, grounded in live context, so you can answer hard questions in minutes, not hours, and keep risk and cost where they belong: low.
The Problem
AI coding agents are shipping code faster than ever. Workloads are expanding. And operators are still expected to know everything about spend, risk, incidents, and performance in real time.
AI coding tools are making engineers dramatically more productive. That productivity means more commits, more deployments, and more cloud surface area to manage. Your team is not growing at the same rate, and existing tooling was never designed for this pace.
An engineer investigates a cost spike, documents nothing, goes on leave. The next person starts over. What was found, what was tried, what was decided: none of it survives the handoff. Every investigation begins at zero.
Spend spikes, incident root causes, compliance asks, security reviews. Every stakeholder wants a credible answer now. Finding it manually means hours of digging through CloudWatch, Cost Explorer, and five different dashboards before you even start reasoning.
General-purpose AI tools do not know your environment. They fabricate answers, act without guardrails, and have no memory of what happened last session. Operators are right to be skeptical, and that skepticism costs time every single day.
A Different Approach
Point solutions give you a view into one thing at a time: cost here, health there, incidents somewhere else. OpsCanvas builds a live, correlated graph across all of them, so every question gets an answer that reflects your full cloud reality, not a fragment of it.
When you ask why costs spiked in us-east-1, Oscar does not just check Cost Explorer. It correlates spend against recent deployments, resource ownership, configuration changes, and IaC drift to give you a complete answer in one step.
Every investigation your team runs enriches the Context Graph. What you discovered last week is still there. Oscar remembers the cloud your team operates, not just the cloud that existed five seconds ago when you opened a new chat window.
The Context Graph builds itself from your actual cloud state. You do not need to tag every resource or spend weeks wiring up integrations before you see value. Operators run their first grounded investigation in under 30 minutes.
Most ops tools see resources and costs but have no visibility into what your pipelines deployed and when. OpsCanvas incorporates deployment pipeline data, so when something breaks or costs spike, the answer includes what changed in code, not just what changed in the cloud.
Generic AI reasons about cloud in general. Oscar reasons about your cloud: your accounts, your services, your ownership map, your cost patterns. The difference between a generic answer and a grounded one is whether the model knows your context.
Time to Resolution
Across the operations your team runs every day, Oscar compresses hours of manual investigation into minutes. Not because it skips steps, but because context is already there when the question is asked.
Oscar in Action
Oscar handles the investigations that currently cost your team hours. Each answer is grounded in your live Context Graph, not in general knowledge about how AWS works.
A Day in the Life
Operators who use Oscar reach for it first, every time. Not because it was mandated, but because it makes the work faster, the answers more credible, and the handoffs actually useful.
Instead of opening five browser tabs, the operator runs a single morning check through Oscar. Findings are categorized by severity, with ownership and suggested actions attached. Anything that needs attention is already visible before the first standup.
A prod alert fires. Oscar already knows what changed in that service in the last 24 hours. The operator goes from alert to root cause in minutes, with a complete evidence trail for the postmortem, not a pile of log tabs to reconstruct manually.
A VP asks for a spend breakdown before the quarterly review. Oscar pulls the attribution by team, service, and deployment event. The operator sends a credible answer in 15 minutes. Previously, this took an afternoon of Cost Explorer archaeology.
The operator assigns the open cost anomaly investigation to a teammate through Oscar Pro. The teammate receives the full investigation history: what was checked, what was found, what was tried. The next engineer starts where the last one left off.
The Context Graph
Every other AI tool starts reasoning after you paste in the context. Oscar starts with context already loaded. That gap is where hours disappear, and it is where OpsCanvas is fundamentally different.
The Context Graph builds itself from your actual cloud state: resource configurations, IAM relationships, cost data, deployment history, and IaC. You do not need clean tags or a weeks-long integration project to start getting grounded answers.
Generic AI resets every session. The Context Graph persists. What your team investigated last week is still there. Patterns that developed over months are visible. The institutional memory your team builds does not evaporate at the end of each conversation.
Oscar switches context between accounts automatically. When a question spans multiple accounts or regions, Oscar correlates across all of them without requiring you to restate your environment setup at the start of each investigation.
Oscar Pro — Team Features
Most ops tooling is built for individuals who happen to work near each other. Oscar Pro turns shared investigations, clean handoffs, and team-level guardrails into the default, not the exception.
Every investigation your team runs is stored and searchable. When a teammate picks up an open issue, they get the full history: what was checked, what was found, what was concluded. No more Slack summaries that lose half the detail.
Find an issue, assign it to the right engineer, and attach everything Oscar discovered. The assignee starts where you left off, not from an alert notification with no background.
When one engineer builds a runbook or investigation pattern that works, the whole team benefits. Shared skills mean teams stop reinventing the same investigation every time the same class of problem surfaces.
Oscar proposes actions. Humans approve them. In Oscar Pro, approvals and boundaries can be set at the team level, so one engineer's session cannot create risk for the whole account, and every proposed action is visible before it runs.
AI You Can Trust
The reason operators are skeptical of AI in their cloud is a good reason. Oscar is designed to address it directly, not to paper over it.
Oscar reads and analyzes before it ever proposes an action. No change, no remediation, no execution without a clear, human-reviewable proposal first.
Nothing runs without explicit approval. Oscar proposes; you decide. The boundary between analysis and execution is always visible and always in your control.
Oscar runs on your machine with your credentials. Your cloud data does not leave your perimeter. No data is sent to a third-party platform to power someone else's model.
Oscar works with Claude, GPT-4, Gemini, or local models. You choose the AI that meets your compliance, cost, and performance requirements. We do not lock you in.
Every investigation, every finding, every proposed and approved action is logged with attribution and timestamp. Audit evidence comes from actual operational work, not manual reporting.
Oscar operates within your existing IAM boundaries. It does not ask for more access than it needs. What Oscar can see and propose is bounded by the credentials you provide.
Cloud Operations is about keeping your environment healthy and your team efficient day to day. Cloud Resilience is the next conversation: how does your cloud hold up when something breaks badly? Backup posture, DR gaps, RTO/RPO coverage, and AI agent blast radius. When your operational foundation is solid, Cloud Resilience is where teams go next.
Explore Cloud Resilience →Get Started Today
Download Oscar free and run your first context-grounded cloud investigation in under 30 minutes. No credentials shared with us. No dashboard to onboard. No tagging project before you see value.
Free operator edition · Bring your own AI · Works with your existing tools · No dashboard required