01◇
STANDARDIZE THE FOUNDATION
Define.
Capture approved architecture, identities, policy and dependencies in a versioned blueprint.
- Infrastructure as code
- Security & governance
- Reusable blueprints
CORE PLATFORM
ENTERPRISE DATA PLATFORM FACTORY
Build once.
Deploy
everywhere.
Stop rebuilding data platforms project by project. Standardize the blueprint, provision governed environments and operate them with confidence — from infrastructure to observability.
Enterprise platform in use at L’Oréal and Kering. AI-assisted operations in development.
REPEATABLE BY DESIGN · GOVERNED BY DEFAULT
nimbus / platform-factory BUILT TO OPERATE
FROM BLUEPRINT TO PRODUCTIONILLUSTRATIVE VIEW / 01
N
Governed blueprint IaC · Policy · Identity · Networking
VERSIONEDone versioned platform definition
Repeatable environments Compute · Pipelines · Storage
PROVISIONEDconsistent delivery context
Operations & delivery CI/CD · Telemetry · Governance
OPERATING✳AI OPERATIONS LAYERIN DEVELOPMENT
Blueprint + runtime + change history → evidence-backed recommendations
→Propose reviewed IaC / GitOps change↗
Infrastructure as code Human-in-the-loop
CONTROL PLANE
One blueprint.
More platforms.
↗More platforms.
BUILT FOR THE FULL LIFECYCLE01 / DEFINE02 / DEPLOY03 / OPERATE04 / EVOLVESCROLL TO EXPLORE ↓
01 // THE DIFFERENCEStop rebuilding
Stop rebuilding
the foundation.
Ship on it.
Traditional delivery repeats platform setup for every project. Nimbus makes the foundation reusable: one governed blueprint, versioned and provisioned consistently.
PROJECT-BY-PROJECT DELIVERY
!Another platform to set upRebuilding decisions from scratch
InfraCI/CDAccessMonitoring
Repeated setup. Diverging standards. More manual work.
Each initiative reopens the same infrastructure, deployment and governance decisions.
THE DATA PLATFORM FACTORY
N
Reusable platform blueprintArchitecture + guardrails + delivery defaultsIaC modulesCI/CD standardsGovernanceObservability
✳ Define once → provision → operate → improve
The same versioned foundation can support new projects and environments without starting again.
✳ Today: repeatable enterprise platform provisioning. Next: Claude agents that use the same blueprint to investigate incidents and recommend reviewed improvements.
02 // THE PLATFORMOne blueprint.
One blueprint.
The entire lifecycle.
Define a platform as code, reuse it across projects, automate delivery and keep operations consistent. The next layer adds Claude-driven recommendations.
02↗
REPEATABLE PROVISIONING
Deploy.
Create complete data environments from reusable definitions instead of recreating the stack.
- Cloud & data workloads
- CI/CD & GitOps
- Reproducible deployments
CORE PLATFORM
03⌁
OPERATIONAL VISIBILITY
Operate.
Operate provisioned environments with delivery history, runtime signals and traceability.
- Logs & observability
- Delivery history
- Operational runbooks
CORE PLATFORM
04✳
CONTEXTUAL INTELLIGENCE
Improve.
Enable Claude agents to correlate telemetry and the blueprint, then propose reviewable fixes and optimizations.
- Explainable diagnoses
- Reviewed code fixes
- Performance & cost insights
✳ AI LAYER / IN DEVELOPMENT
03 // WHY IT WORKSLess platform rework.
Less platform rework.
More data delivery.
Rather than stitch together isolated tools or rebuild the same foundations, engineering teams get an extensible starting point they can govern and evolve.
01 / PLATFORM ENGINEERING↗
Golden blueprints.
Not one-off builds.
Infrastructure, roles, governance and dependencies captured once as a reusable platform definition.
02 / DELIVERY↗
Standardized delivery.
Consistent CI/CD and GitOps workflows across platform deployments.
03 / OBSERVABILITY↗
Operations with context.
Link monitoring, delivery history and infrastructure changes to what was actually deployed.
04 / EXTENSIBLE STACK↗
Composable by design.
Not another silo.
Works with familiar infrastructure and data tooling, with versioned configuration rather than opaque manual setup.
Illustrative technologies from our enterprise engineering experience.
04 // THE NEXT LAYER · IN DEVELOPMENTNext: a platform
Next: a platform
that improves.
Because the platform begins with a versioned blueprint, planned Claude agents can connect what was defined, what changed and what is happening in production — and propose changes engineers can review.
01 / SHARED CONTEXT
◇
BlueprintIaC, configuration, dependencies
⌁
RuntimeLogs, events, failures, health
↗
Change historyCommits, builds, deployments
◷
EfficiencyUsage, performance, cost
→
02 / INTELLIGENCE
✳
Claude-poweredoperations agents
Cross-layer reasoning grounded in evidence, not isolated alerts.
IN DEVELOPMENT
→
03 / ACTIONABLE OUTPUT
01Likely root cause
With supporting evidence
With supporting evidence
02Proposed fix
Reviewable IaC / GitOps change
Reviewable IaC / GitOps change
03Optimization path
Cost, reliability & performance
Cost, reliability & performance
✓Engineer approval before changes
01Evidence over guesses.
Proposals grounded in actual configuration and operational signals.
02Changes you can review.
Recommendations expressed as traceable, version-controlled changes.
03Humans stay in control.
No invisible production modifications; approvals and auditability first.
05 // OUR POINT OF VIEWOwn the blueprint.
Own the blueprint.
Stop repeating
the build.
“Your next data product shouldn’t require another infrastructure project.”
Nimbus starts with reusable platform definitions, not another one-off build. Once the foundation is repeatable, teams can focus on data products — and eventually use AI agents to improve operations with full architectural context.
Talk about your next platform ↗06 // START A CONVERSATIONBuild once.
Build once.
What’s next?
Rolling out a new data platform, standardizing across teams or exploring agent-assisted operations? Tell us what you need to deploy next.
↗ Data Platform Factory & deployments↗ Platform modernization & reliability↗ AI operations design partnerships
DIRECT EMAILusama.shah@nimbusdatalabs.com
DUBAI, UAE / WORKING WITH GLOBAL TEAMS
TELL US ABOUT YOUR PLATFORM✳