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Manual deployments and differences between environments can make releases difficult. Once release steps run through CI/CD, your team can trace the approvals and tests behind each change and see how to roll it back. We share setup and operational information with your team as well.
Scope of the work
- Building or overhauling the CI/CD pipeline (GitHub Actions, GitLab CI, Azure DevOps)
- Infrastructure as code with a pull-request-based change flow
- Software supply chain: generating SBOMs, artifact signing, source verification
- Static analysis, dependency and image scanning wired into the pipeline
- Policy enforcement: rule sets running in the cluster and in the pipeline
- Key and credential management, and removing long-lived keys from the pipeline
Infrastructure and release flow
Pull request and plan output
Every change opens as a pull request with the pipeline plan output attached to the review.
Security and policy gates
Static analysis, dependency scans, SBOM/signing and policy checks run automatically against that plan.
Automated apply and state lock
The pipeline applies approved changes with a locked state file, and scheduled drift checks keep the repository aligned with production.
Tooling
- CI/CD
- GitHub ActionsGitLab CIAzure DevOps
- Infrastructure as code
- TerraformOpenTofuAtlantis
- Supply chain
- SyftCosignin-totoSLSA framework
- Scanning
- SemgrepCodeQLTrivyGrypeOSV
- Policy
- OPA Gatekeeper (cluster)Kyverno (cluster)Conftest (pipeline)
- Keys and credentials
- HashiCorp VaultExternal Secrets OperatorOIDC federation
Other services
Agentic modernization
LLM agents prepare repetitive code changes; code review and tests verify each change. Our team remains responsible for architectural decisions.
Application modernization
Backed by our App Modernization on Microsoft Azure specialization, we modernize legacy .NET and Java applications in stages, protecting working business processes with tests.
Database modernization and data migration
We modernize database schemas and business logic, and migrate relational, NoSQL and event-streaming data to target platforms while preserving data integrity.
AI agent development
We build agents connected to your systems to reduce repetitive support, document and data work. We define data access and human approval steps upfront.