01 / AI IN THE WORKFLOW
Intelligent deployments
Analyse repository structure and suggest an AWS infrastructure configuration for the stack. Existing platform demonstrations show the AWS workflow.
AI ASSISTANCE
More context. Faster analysis. Human judgment.
AI helps engineers make sense of the cloud a customer will review. In the managed service, recommendations sit alongside engineering review and accountability for the agreed requirements.
02 / AI IN THE WORKFLOW
Root cause analysis
Bring logs, metrics, code changes, and deployment history into the investigation so engineers can assess likely causes with more context.
03 / AI IN THE WORKFLOW
Cost recommendations
Surface resource usage and optimisation opportunities for review against workload needs and performance.
04 / AI IN THE WORKFLOW
Security recommendations
Identify potential configuration issues and bring recommendations into the same engineering and remediation workflow.
See the existing AWS workflow.
A deliberate path to production.
Repeatable workflows make infrastructure changes easier to understand and follow.
SAMPLE WORKSPACEInteractive illustration
sample-api
AWS main production
- Source connected
- Build complete
- Engineering review
- Production
Follow a sample change from repository to production.
The context stays with the work.
A shared activity feed keeps deployments, infrastructure changes, and operational history visible to your team and ours.
SAMPLE WORKSPACEInteractive illustration
Recent activity
Select an event to see the context behind it.
10:42Application deployedsample-api / main / productionSuccessful
Engineering ownerRelease engineer
The application release completed in the sample production environment.
Recorded change
Version 1.3.0 → 1.4.0Repository, branch, environment, and release outcome stay together.
10:20Infrastructure updatedsample-database / stagingCompleted
Engineering ownerCloud engineer
A requested staging capacity change was reviewed and applied.
Recorded change
Capacity change / SD-207The request, engineering owner, and infrastructure change share one context.
09:18Request resolvedSD-204 / deployment workflowResolved
Engineering ownerSupport engineer
The sample deployment workflow request was completed and its outcome recorded.
Recorded change
In progress → DoneThe resolution remains available to both teams after the request closes.
One place to move work forward.
Requests travel from triage to completion on a shared board. Clear ownership keeps the next step visible.
SAMPLE WORKSPACEInteractive illustration
Configure staging environment
SD-207 Normal priority
- New
- Triage
- In progress
- Done
OwnerAwaiting triage
Latest update
Your team has submitted the context and environment requirements.
One request. A shared record from start to finish.
Know what stands between your cloud and your launch.
Tell us what you’ve built and when you want to launch. We’ll discuss the requirements and whether we can help.