AI-Powered Deployment Automation
AI code review, risk scoring, smart test selection and automated canary analysis that make every release faster and safer.
From the first commit to production and beyond — we design, build and run the platform your product depends on, with AI tools automating the slow parts. Pick a single service or let us own the whole thing.
One team, end to end. Pick what you need or let us own the whole platform.
AI code review, risk scoring, smart test selection and automated canary analysis that make every release faster and safer.
Anomaly detection, alert correlation, root-cause analysis and automated remediation so incidents are fixed before users notice.
Pipelines to train, register, deploy and monitor ML and LLM models on SageMaker, Vertex AI, Azure ML or Kubernetes.
Blue/green, canary and rolling releases with health checks and automatic rollback. Customers never see a maintenance page.
Multi-AZ architecture, load balancing and horizontal auto-scaling so your app handles 10 users or 10 million.
Code and container scanning, secrets management, IAM least privilege, WAF and audit-ready controls for SOC 2 and ISO 27001.
Automated build, test, scan and deploy on every commit with Jenkins, GitHub Actions, GitLab CI or AWS CodePipeline.
Dockerize your apps and run them on EKS, AKS, GKE or self-managed Kubernetes with Helm and GitOps (Argo CD).
Design, migration and management on AWS, Azure and GCP — networking, databases, storage and CDN done right.
Every environment defined in Terraform and Ansible: repeatable, reviewable and recreated in minutes, not weeks.
Metrics, logs, traces and alerts with Prometheus, Grafana, ELK and CloudWatch, plus 24/7 on-call incident response.
Right-sizing, spot and reserved capacity, auto-shutdown of idle resources and clear cost dashboards per team.
Automated backups, cross-region replication and tested recovery plans with clear RPO and RTO targets.
Load testing, caching, CDN and database tuning so pages load fast and APIs respond in milliseconds.
Assessments, roadmaps and hands-on training so your engineers own modern DevOps practices with confidence.
We pick the right release strategy for each service and automate it in your pipeline.
A full copy of the new version (green) runs next to the current one (blue). After automated checks pass, traffic switches over in one step. If anything looks wrong, we switch back instantly.
The new version is released to a small slice of users first — 5%, then 25%, then 100%. Error rates and latency are watched at every step, and the rollout stops automatically if they rise.
Instances are replaced a few at a time. Each new instance must pass its health check before the next old one is removed, so capacity stays full during the whole release.
For teams that want a clear roadmap
We run your platform end to end
For a specific outcome, fixed scope
Your application stays available to users during every release. We use blue/green, canary or rolling strategies with health checks, so traffic only reaches new versions that are proven healthy — and rolls back automatically if they aren't.
We work with AWS, Microsoft Azure and Google Cloud, as well as hybrid and on-premise Kubernetes environments.
Yes. We start from what you already have, improve it step by step, and work alongside your developers rather than replacing their workflow.
Security is part of every pipeline: code and image scanning, secrets in a vault, least-privilege IAM, encryption at rest and in transit, WAF, and continuous compliance checks.
An assessment usually takes one to two weeks. Most teams have automated pipelines and zero-downtime releases running within a few weeks after that.
Yes. Our Managed DevOps plan includes round-the-clock monitoring, alerting and incident response with agreed response times.