CI/CD architecture
Separate build, test, artifact, deployment, and promotion responsibilities.
DevOps and CI/CD consulting for software teams that need reliable releases.
A deployment should not depend on who is available, which repository changed, or which undocumented procedure still needs to be followed. We design and improve CI/CD pipelines, deployment automation, and release processes so software moves from commit to production through a repeatable, observable, and secure workflow.
The problem
Your delivery process works, but only if everyone knows the exceptions.
The release works when everyone remembers the exceptions. It stalls when they do not.
One release
As found
- manual step
- 01commit
- 02CI, copied per repository
- 03apply manifestmanual
- 04staging
- 05run script locallymanual
- 06production
staging and production configured differently
manual edits in the cluster
01
Pipelines have drifted apart
Workflows were copied between repositories and modified independently. Fixes and security changes must be repeated everywhere.
02
Releases still require manual intervention
A deployment depends on someone applying a manifest, approving an undocumented step, or running a script locally.
03
Environments behave differently
Tests pass in staging, but production has different configuration, permissions, or infrastructure assumptions.
04
GitOps is only partially adopted
Desired state exists in Git, but manual changes continue in the cluster. It is no longer clear which system is authoritative.
What changes
Make the release process predictable and repeatable.
One documented deployment path
Engineers know how a change is built, verified, released, and rolled back.
One release
- manual step
- same artifact
- 01commit
- 02CI, copied per repository
- 03apply manifestmanual
- 04staging
- 05run script locallymanual
- 06production
staging and production configured differently
manual edits in the cluster
- 01commit
- 02build
- 03test
- 04artifact
- 05GitOps
- 06staging
- 07production
one artifact, promoted by a reviewed diff
rollback reverts the diff
Changes are visible before production
Artifacts, configuration, and approvals can be reviewed without relying on individual knowledge.
Less time spent maintaining pipelines
Shared workflows and reusable components replace unnecessary duplication.
What we improve.
Pipeline engineering
Improve GitHub Actions, GitLab CI, caching, concurrency, and shared workflows.
GitOps
Establish desired-state management, reconciliation, and environment promotion with appropriate ownership.
Release strategies
Implement rolling, blue/green, or canary deployments when the runtime and observability support them.
Delivery security
Improve cloud authentication, access boundaries, secret handling, and artifact verification.
Pipeline performance
Identify slow builds, unnecessary serialization, flaky dependencies, and avoidable deployment delays.
Improve one release path, then make it repeatable.
How the work runs
01
Measure a real release
Identify manual steps, waiting time, failures, and infrastructure dependencies.
02
Define the delivery model
Clarify how builds, artifacts, deployment, promotion, and rollback should work.
03
Implement with one service
Validate the new workflow against a real application before extending it.
04
Retire redundant processes
Document the supported workflow and remove the legacy paths that are no longer needed.
Technologies
Used when they fit the system you already run. Not as a checklist.
GitHub Actions · GitLab CI · Argo CD · Helm · Kustomize · Terraform · OpenTofu
apiVersion: argoproj.io/v1alpha1
kind: Application
spec:
source:
targetRevision: main
path: clusters/prodCommon questions
Should we adopt GitOps?
If deployment drift, environment promotion, and configuration ownership are real problems, GitOps may help. If the main constraint is slow tests or unreliable builds, those should be fixed first.
Can you improve our current CI/CD tools?
Yes. We work with GitHub Actions, GitLab CI, and existing delivery systems. A tool migration is not the default recommendation.
Will your engineers run every deployment afterward?
No. We build the process your team uses. The aim is to remove routine dependencies, not replace an internal engineer with an external one.
How do you secure deployment pipelines?
We review workflow permissions, identity, secrets, artifacts, and production approval boundaries. Short-lived credentials and least-privilege access are preferred wherever practical.
Related
- Platform engineering
Developers should not need to understand the entire infrastructure stack to ship a service. We create supported development and deployment workflows, reusable templates, and self-service capabilities that reduce dependence on a handful of infrastructure specialists.
- Kubernetes
A production cluster needs more than a working deployment. We help with cluster design, upgrades, workload configuration, networking, security, and operations. We also evaluate whether Kubernetes is still the right choice.
- Infrastructure as code
Infrastructure code should make changes safer, not make every apply a high-risk event. We improve Terraform repositories, modules, state management, automated validation, and deployment workflows.
- SRE & observability
Production should be understandable before, during, and after an incident. We design telemetry, alerting, service-level objectives, incident response practices, and the operational workflows that turn signals into decisions.
Platform assessment
Know what needs fixing before committing to a rebuild.
Our Platform & DevOps Assessment examines the infrastructure, delivery process, operational risks, and cloud costs you already have. You receive prioritized findings and a practical 90-day roadmap, including what to fix first, what can wait, and what should be left alone.