DevOps
DevOps & CI/CD
Professional delivery engineering: automated pipelines, Infrastructure as Code, reproducible environments and real-time observability. We turn releases into a non-event — moving you from monthly scared deploys to multiple confident deploys per day.
End-to-end CI/CD
From commit to production, automated. Every push runs tests, static analysis, build, security scans and deployment to controlled environments.
- Pipelines on GitHub Actions, GitLab CI and Azure DevOps
- Build, test, scan and deploy in reproducible flows
- Blue/green, canary and rolling release strategies
- Automatic rollbacks on errors
- Feature flags and progressive delivery
- Mandatory quality gates before production
Infrastructure as Code
No manual clicks in cloud consoles. All infrastructure lives in repositories, with reviews, history and full audit trail.
- Terraform for AWS, Azure and multi-cloud
- CloudFormation / CDK for AWS-native cases
- Ansible for server configuration
- Helm charts for Kubernetes applications
- Identical environments: dev, staging, production
- Secrets managed via Vault / Secrets Manager
Containers and orchestration
Applications packaged as containers, orchestrated with Kubernetes or ECS depending on the case. Automatic horizontal scaling and service-level isolation.
- Docker for any stack (PHP, Node, Python, .NET)
- Kubernetes (EKS, AKS, GKE) for complex workloads
- ECS/Fargate for operational simplicity on AWS
- Service mesh (Istio, Linkerd) when applicable
- Auto-scaling based on real metrics
- GitOps with ArgoCD or Flux
Observability
You can't improve what you don't measure. We instrument logs, metrics and traces from day one.
- Centralized logs (ELK, Loki, CloudWatch)
- Metrics with Prometheus, Datadog or New Relic
- Distributed tracing with OpenTelemetry
- Actionable dashboards per team
- SLO-driven alerts, not CPU% alerts
- Correlation logs → metrics → traces
Frequently asked questions
- Can I start with DevOps without refactoring my whole app?
- Yes. We start with highest-ROI items: automating the existing pipeline, containerizing, adding observability. Deep refactors (microservices, Kubernetes) only when the business case warrants it.
- How long until CI/CD is stable?
- For an Adobe Commerce project or mid-complexity app: 4-6 weeks for full dev/staging/prod pipelines with IaC, tests and automated deploys. Longer if there's strict compliance or heavy migration from manual processes.
- Do you offer ongoing operations or just setup?
- Both. We can deliver the setup and train your team, or stay on ongoing operations with SLA, on-call and iterative improvements.
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AEM Sites + Assets + Forms and Adobe Target: enterprise CMS, DAM and personalization at scale for omnichannel experiences.
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AEP + Real-Time CDP + Customer Journey Analytics + Analytics + Data Collection: unified data architecture to activate real-time personalization.
Learn more →Want to discuss your project?
We'll assess your case at no cost and propose a concrete path forward.
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