Defence & Aerospace
DevOps & CI/CD for Defence & Aerospace
DevOps & CI/CD for defence & aerospace, built around the constraint that defines the sector: systems must run fully air-gapped, on open weights, with no external dependency whatsoever.
- Regulations in scope
- 4
- Systems we integrate
- 4
- Typical first release
- 6 weeks
What changes when it is defence & aerospace
Staging that differs from production is worse than no staging. It produces confidence that does not transfer. Environment parity is the point, not the existence of a second environment.
In defence & aerospace, systems must run fully air-gapped, on open weights, with no external dependency whatsoever. That single fact reshapes how devops & ci/cd has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.
The workload we are most often asked to take on first is training simulation support, usually integrated against logistics systems. Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.
Multi-model by default, so a provider outage is a routing decision rather than an incident. Six weeks to something running in production, not six quarters to a strategy document.
The sector constraints we design around
- Defining constraint
- systems must run fully air-gapped, on open weights, with no external dependency whatsoever
- Regulations in scope
- security clearance requirements · indigenous content norms · export control · classified handling procedures
- Systems of record
- classified networks · logistics systems · simulation platforms · sensor systems
- Where we usually start
- document intelligence on classified material
DevOps & CI/CD workloads in defence & aerospace
- document intelligence on classified material
- imagery analysis
- logistics and inventory optimisation
- maintenance prediction
- training simulation support
What is included
- Pipelines that run tests, security scans and builds on every change
- Infrastructure as code so environments are reproducible, not hand-built
- Secrets management that keeps credentials out of repositories
- Staging that genuinely resembles production
- Blue-green or canary deploys with automated rollback
- Runbooks and on-call documentation your team can actually use
Questions from this sector
Can it work fully offline?
Yes, open-weight models on local infrastructure, with no external API calls at any point in the pipeline.
What about indigenous requirements?
Open-weight models deployed on Indian infrastructure with source-available components satisfy most indigenous content criteria; we structure builds accordingly.
Do we need Kubernetes?
Probably not. It is excellent at genuine scale and a significant operational burden below it. Managed platforms serve most teams better, and we will say so rather than sell complexity.
How often should we deploy?
As often as the work is ready. Frequent small deploys are safer than rare large ones, less changes at once, so failures are easier to isolate and reverse.
Can you work with our existing pipeline?
Yes, and usually better than replacing it. We improve what exists unless it is fundamentally unworkable.
Other capabilities for defence & aerospace
- AI Agent Development for Defence & Aerospace
- Agentic Workflow Automation for Defence & Aerospace
- LLM Application Development for Defence & Aerospace
- RAG & Knowledge Retrieval for Defence & Aerospace
- Chatbot Development for Defence & Aerospace
- Computer Vision for Defence & Aerospace
- AI Copilot Development for Defence & Aerospace
- Data Engineering for Defence & Aerospace
- Enterprise AI Platform for Defence & Aerospace
- Workflow & Integration Automation for Defence & Aerospace
DevOps & CI/CD for defence & aerospace, worth a conversation?
Tell us the workload and the regulation it sits under. We will tell you what is realistic.
Or email bd@dtrasglobal.com · call +91 74118 77878