DeepScience Tech's DevOps practice builds and manages CI/CD pipelines, Kubernetes clusters, Infrastructure as Code, and observability stacks for engineering teams across India — reducing deployment time from weeks to minutes and infrastructure failures to near-zero.
GitHub Actions, AWS CodePipeline, GitLab CI, and Jenkins — automated build, test, security scan, and deploy pipelines from code commit to production in under 5 minutes.
Application containerisation, multi-stage Dockerfile optimisation, container image security scanning, and private registry management (ECR, OCIR, Docker Hub).
Kubernetes cluster setup and management on AWS EKS and OCI OKE — namespaces, RBAC, network policies, Helm chart management, HPA/VPA autoscaling, and GitOps with ArgoCD / Flux.
Terraform, AWS CDK, and CloudFormation — all infrastructure defined as code, version-controlled, and deployed through the same CI/CD pipeline as application code.
Prometheus, Grafana, Loki, and Jaeger — metrics, logs, and traces for every service. Custom dashboards, SLO tracking, and PagerDuty/OpsGenie alerting integration.
Security integrated into every pipeline stage — SAST (Semgrep, SonarQube), DAST (OWASP ZAP), SCA (Snyk), container image scanning (Trivy), and IaC security scanning (Checkov).
Blue-green deployments, canary releases, feature flags (LaunchDarkly, AWS AppConfig), rollback automation, and release train coordination for complex multi-service deployments.
Istio and AWS App Mesh for microservice-to-microservice communication — mTLS, circuit breakers, traffic management, and distributed tracing across services.
Cloud cost tagging governance, per-environment cost reporting, cost anomaly alerts, and automated resource cleanup for non-production environments to control cloud spend.
Book a DevOps assessment. We'll review your current deployment process and show you exactly where time and reliability are being lost.
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