DevOps & Automation
Streamline your development pipeline and deployment process
What We Deliver
🔄 CI/CD Pipelines
Automated build, test, and deployment pipelines that catch issues early and ship code confidently.
- GitHub Actions & GitLab CI
- Jenkins & Azure DevOps
- Automated testing integration
- Multi-environment deployments
- Rollback automation
🐳 Containerization
Package applications consistently across environments with Docker and container orchestration.
- Docker image optimization
- Multi-stage builds
- Container security scanning
- Registry management
- Development containers
☸️ Kubernetes
Container orchestration for scalable, resilient applications running in production.
- Cluster setup & management
- Helm charts & deployments
- Auto-scaling configuration
- Service mesh integration
- EKS, AKS, GKE support
🏗️ Infrastructure as Code
Version-controlled, repeatable infrastructure that eliminates configuration drift.
- Terraform modules
- AWS CloudFormation
- Ansible playbooks
- Pulumi for developers
- Environment consistency
📊 Monitoring & Observability
Know what's happening in your systems before users report problems.
- Prometheus & Grafana
- Datadog & New Relic
- Log aggregation (ELK, Loki)
- Distributed tracing
- Alerting & on-call setup
🔐 Security Automation
Shift security left with automated scanning and compliance checks in your pipeline.
- SAST & DAST integration
- Dependency vulnerability scanning
- Secrets management
- Container image scanning
- Compliance as code
Common DevOps Challenges We Solve
“Deployments Are Scary”
Manual deployments are error-prone and stressful. We build pipelines that make deployments boring—automated, tested, and reversible.
What changes:
- One-click deployments with confidence
- Automated rollbacks if something breaks
- Staging environments that mirror production
- Feature flags for gradual rollouts
“It Works on My Machine”
Environment inconsistencies waste time and cause production issues. Containers and IaC ensure every environment is identical.
What changes:
- Developers work in production-like containers
- Infrastructure changes are reviewed like code
- No more “works on my machine” debugging
“We Don’t Know What’s Happening”
When something breaks at 2am, you need answers fast. Proper observability means you see problems before users do.
What changes:
- Dashboards showing system health at a glance
- Alerts that tell you what’s wrong, not just that something is wrong
- Logs and traces that pinpoint issues quickly
“Everything Is Manual”
Repetitive manual tasks slow teams down and introduce errors. Automation frees developers to focus on building features.
What changes:
- Database migrations run automatically
- Test environments spin up on demand
- Security scans run on every pull request
- Documentation generates from code
Tools We Work With
CI/CD
GitHub Actions, GitLab CI, Jenkins, Azure DevOps, CircleCI, ArgoCD
Containers
Docker, Kubernetes, Helm, Podman, containerd
Cloud
AWS, Azure, GCP, DigitalOcean, Cloudflare
IaC
Terraform, Ansible, Pulumi, CloudFormation
Monitoring
Prometheus, Grafana, Datadog, PagerDuty, Sentry
Security
Vault, Snyk, Trivy, SonarQube, OWASP ZAP
Engagement Options
🎯 Pipeline Setup
We build your CI/CD pipeline from scratch or improve an existing one. Includes documentation and team training.
Typical timeline: 2-4 weeks
🔄 DevOps Assessment
We evaluate your current practices and provide a prioritized roadmap for improvement.
Typical timeline: 1-2 weeks
👥 Team Augmentation
Our DevOps engineers join your team to implement improvements and transfer knowledge.
Engagement: Monthly retainer
🚀 Platform Engineering
We build internal developer platforms that make your team more productive.
Typical timeline: 1-3 months
Ready to Ship Faster?
Let's talk about automating your development workflow and building confidence in every deployment.
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