CI/CD Pipeline Automation
Builds continuous integration and delivery pipelines that compile test scan and ship code with the same commands every time so releases stop being events and start being routine.
Everything included under this practice line.
Pipeline design covering build unit test integration test security scan and deployment stages
Artifact management with versioning promotion between environments and provenance tracking
Deployment strategies including blue-green canary and progressive delivery with automatic rollback
Test parallelization and caching to keep pipeline duration from stretching as the codebase grows
Secret management integrated with the pipeline through Vault cloud KMS or platform-native stores
SBOM generation and supply chain attestation aligned to SLSA levels
Self-service pipeline templates so product teams onboard without hand-holding
Pipeline observability with build success rate duration percentiles and flaky test tracking
The stack we reach for.
What the business gets, measured.
- Faster path from merged pull request to running production code
- Fewer failed deployments through consistent reproducible build steps
- Reduced blast radius on bad releases through canary and automatic rollback
- Supply chain evidence ready for SOC 2 FedRAMP or customer security reviews
- Product teams unblocked from ticket-driven release requests
The specialists behind this practice line.
Build and release engineers do the pipeline work with application developers embedded during the migration so the tests and quality gates match how each service is actually built. Security engineers pair in when scanning signing or SBOM stages get wired in so those controls do not become a separate afterthought pipeline.
Compose several capabilities into one engagement.
Cloud Consulting & Migration (AWS, Azure, GCP)
We plan the target landing zone then move workloads across in waves so nothing goes dark. Lift-and-shift where it makes sense replatform where the payoff is real.
DevOps Consulting
We audit how your team ships today find the actual bottleneck and fix it. Usually it's not the tooling it's the handoff between dev and ops.
Infrastructure as Code (Terraform)
Every resource in a repo reviewed like application code. No click-ops no drift and no server that only one person knows how to rebuild.
Kubernetes & Container Orchestration
EKS AKS or GKE clusters set up so day-two doesn't become a fire drill. Sane defaults for networking RBAC upgrades and workload isolation.
Platform Engineering
Internal developer platform so product teams ship services without filing tickets. Golden paths for the common cases escape hatches for the rest.
Site Reliability Engineering (SRE)
SLOs tied to what users actually feel error budgets that gate risky changes and on-call rotations that don't burn people out. Postmortems that fix causes not symptoms.
Cloud Cost Optimization
We find the money leaking on idle instances oversized nodes forgotten volumes and egress. Then we set guardrails so it doesn't creep back next quarter.
Disaster Recovery & Business Continuity
RTO and RPO targets you can actually meet backed by restores we test on a schedule. Backups nobody has restored are not backups.
Let's talk
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Prefer email? hello@aueron.in