Process Automation (CI/CD) & GitOps
Transform manual deployment chaos into a predictable software production line. We implement automated pipelines that validate security, quality, and performance before every release.
Release Engineering
Accelerating time-to-market without sacrificing stability.
Advanced Deployment Strategies
Implementation of Blue/Green and Canary Deploys to release new versions with zero risk and instant rollback in case of failure.
Automated Testing
Integration of unit, integration, and E2E (End-to-End) tests in the pipeline, ensuring bugs are stopped before reaching the user.
GitOps (ArgoCD/Flux)
Your Kubernetes cluster state automatically synced with your Git repository. Total auditability and simplified disaster recovery.
Pipeline Security
Automated vulnerability scans on containers and dependencies (SCA) running on every commit to ensure clean code.
Ephemeral Environments
A test environment created per Pull Request and destroyed on merge. QA infrastructure cost near zero.
Release Observability
Every deploy ships with a comparison panel: error, latency and conversion of the new version against stable.
The pipeline you will have: from commit to production
Every stage automated and visible. No late-night windows, no release spreadsheets.
The 5 stations of the pipeline
Commit
A push triggers the pipeline: lint, build and unit tests run in seconds.
Tests
Integration and E2E suites in an ephemeral environment, identical to production.
Security
SAST, DAST and dependency scans stop vulnerabilities before the release.
Canary
Gradual release to a slice of traffic, with metrics comparing both versions.
Production
Downtime-free promotion, with one-click rollback if any metric degrades.
Release strategies for every risk appetite
Blue/Green
Two identical environments: traffic switches at once and rollback is instant.
Canary
The new version gets 5% of traffic and grows as the metrics approve.
Rolling
Batch updates on Kubernetes without duplicating the whole environment.
From zero pipeline to Friday deploys
How we implement automation without disturbing the deliveries already in flight.
Current flow diagnosis
We map how code reaches production today: handoffs, bottlenecks and risks. The baseline sets the targets.
Minimum viable pipeline
Build, test and deploy automated in your CI (GitHub Actions, GitLab, Jenkins). Release fear drops in week one.
Quality and security at the gate
Integration/E2E tests and SAST/DAST scans join the pipeline: what does not pass, does not ship.
Advanced releases
Blue/Green, canary and GitOps on the cluster. Deploy stops being an event and becomes routine.
Automation FAQ
Eliminating human error.
CI (Continuous Integration) is the practice of merging code frequently. CD (Continuous Delivery) is the automation of the release. Together, they ensure your software is always in a deployable state.
GitOps uses Git as the "single source of truth" for infrastructure and applications. An agent (like ArgoCD) ensures that what is running on the server is exactly what is in the code.
Yes. While more challenging, creating pipelines for legacy systems is the best way to stabilize them. We automate build and deploy, reducing the fear of touching the old system.
We are agnostic. We work with GitHub Actions, GitLab CI, Jenkins, CircleCI, Azure DevOps, and AWS CodePipeline, adapting to your current stack.
Less than the incident it prevents. Cloud pipelines scale with usage; we optimize runners and caches so cost tracks team size.
That is the common case. We version schemas with compatible migrations (expand/contract) so code and database deploys never require downtime.
Talk to CI/CD Specialists
Describe your current delivery flow and get an automation proposal.
Quick conversation.
Address
Avenida Paulista, 1636 - São Paulo - SP - 01310-200