Certified AI Coworker

The

Cloud Ops Engineer runs the investigation while you ship features.

The AI Coworker that correlates alerts, chases cost anomalies, and runs compliance checks across your cloud infrastructure so your engineers can focus on the roadmap.

Verified stack coverage

Full visibility across your cloud estate

01
Connect your stack
02
Diagnose the problem
03
Run the matching playbook

Full CLI and API
access across every
service

Compute, storage, cost, and identity in one pass

Cluster health before your platform team wakes up

Cross-check alert metrics against the source

Escalate only what the evidence supports

Quantify the savings, not just the flag

What it owns

Your platform team's newest engineer.

Think of the Cloud Ops Engineer as the engineer who takes the first look at everything, works out what’s wrong, and acts on it within the access given.

Correlates alerts before you open a dashboard.
Pulls health signals, logs, and platform status across your clouds to diagnose the degraded resource and recommend next steps.
Catches drift before the audit does.
Checks OS and image patch status against your policy. Flags what's behind, how far behind, and which resources are affected.
Checks recovery before you need it.
Checks backup jobs, recovery points, and lifecycle policies against your RTO/RPO targets.
Finds the spend you forgot about.
Surfaces underutilised instances, over-provisioned VMs, and idle databases, and quantifies the savings from your actual usage and pricing data.
Reads your VPC like a diagram.
Inspects security groups, route tables, NACLs, and load balancer configs for symptoms. Tells you what's open, what shouldn't be, and what changed.
Watches the cluster from the control plane.
Checks cluster health, node pool status, and add-on versions across EKS, ECS, and AKS, and routes pod-level issues to your team.
What it owns

Works the problem. You approve every change.

The Cloud Ops Engineer reads the signals, works out the best approach, and follows through within its operating principles.

From its TICKET LOG

Real usecases the Cloud Ops Engineer solves.

Every cloud environment has its own problems. See how the Cloud Ops Engineer pulls the signals, finds the root cause and routes the fix.

High-CPU alert fires on a production Azure VM
On the PagerDuty alert, the Cloud Ops Engineer correlated Azure Monitor metrics with Azure SQL connection data and traced root cause to connection pool exhaustion starving the app layer.
[ OUTCOME ]
Resolved without touching the instance.
Finance flags a 40% month-over-month AWS spend increase
Cloud Ops Engineer traced it to three dev GPU instances left running after training: 18 days idle, under 1% utilization. Termination approved by the engineering manager, then executed.
[ OUTCOME ]
$11,200+ in idle compute, surfaced and routed.
DR readiness review before a planned Azure region failover test
3 of 12 critical VMs had no recovery points in 7 days; backup jobs were silently failing. Cloud Ops Engineer filed the VMs and logs as a failover-test blocker.
[ OUTCOME ]
Unprotected VMs caught before the test, not during.
New service in a private subnet can’t connect to its RDS database
Checked the route tables, NACLs and security groups along the path. The database’s security group only allowed the old app subnet. Group ID and the exact rule sent for platform team's approval.
[ OUTCOME ]
Launch unblocked with one rule change.
BENCH TESTED
Tested across real cloud environments before it reaches yours.
300+
scenarios tested
Multi-turn conversations
25
GRADERS PER SCENARIO
Scoring accuracy, scope, safety
3
CLOUD PLATFORMS
AWS, Azure, GCP, Hybrid
6+
DOMAINS COVERED
Incidents, Cost, Compliance, Network, Backup, K8s
Built-in oversight

Governed like the rest of your team.

Reporting manager

All escalations route through them. Adjust scope and permissions anytime.

Budget controls

Monthly spend cap with full cost-per-investigation visibility. Every dollar accounted for.

Audit trail

Every action logged with full context. See what it checked, found, and skipped.

Drift detection

Flags when behavior drifts from your rules. Patterns surface before they become problems.

Frequently asked questions

What does a certified Cloud Ops Engineer do?
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A certified AI Cloud Ops Engineer is an AI Coworker trained and tested to investigate cloud infrastructure across AWS and Azure. It correlates alerts, identifies root causes, detects cost anomalies, checks compliance, and verifies backups. It validates findings across connected systems and recommends next steps, while your team approves every infrastructure change.

Which cloud platforms and tools does the Cloud Ops Engineer support?
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The Cloud Ops Engineer supports AWS and Microsoft Azure, with integrations for Kubernetes, Datadog, PagerDuty, and AWS Trusted Advisor. It detects which cloud environments are connected and automatically follows the appropriate investigation playbook. Teams running both AWS and Azure can investigate issues across their hybrid cloud infrastructure.

Can the Cloud Ops Engineer make changes to my cloud environment?
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No. It operates read-only by default. It will diagnose, recommend, and surface what needs to change, but any mutation (terminating an instance, changing a security group, applying a patch) goes through your approval workflow first.

Can a Cloud Ops Engineer detect and investigate cloud cost anomalies?
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Yes. It analyzes cloud spending and resource utilization to detect cost anomalies, identify idle or overprovisioned resources, and quantify potential savings. It investigates the root cause and routes recommended actions for approval.

Can the Cloud Ops Engineer monitor Kubernetes clusters across EKS, AKS, and ECS?
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The Cloud Ops Engineer monitors Kubernetes-related infrastructure across Amazon EKS, Azure AKS, and ECS. It checks cluster health, node pool status, and add-on versions to identify potential infrastructure issues. Its visibility focuses on the control plane rather than individual pod-level or deployment-level workloads. Issues requiring deeper application or workload investigation are routed to your platform engineering team.

How is the Cloud Ops Engineer governed?
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The Cloud Ops Engineer reports to a manager you name, who receives its escalations and can adjust its scope and permissions. It works within a monthly spend cap, and every action is logged with what it checked, found and skipped.