Coforge's Data Cosmos AutoDeployer

AutoDeployer is Coforge's Data Cosmos accelerator that transforms any existing code repository into deployment-ready artifacts and a live Kubernetes deployment with minimal manual effort. It combines repository intelligence, AI-powered analysis, automated artifact generation, and GitHub Actions-based execution into a single governed workflow — eliminating manual creation of Dockerfiles, Compose files, Kubernetes manifests, and CI/CD pipelines. Part of Coforge Data Cosmos™ — the innovation backbone combining platforms, agentic accelerators, and services for end-to-end data engineering, BI, governance, and analytics.

Core Capabilities: • AI-Powered Repository Analysis – auto-discovers services, dependencies, ingress needs, runtime requirements, risks, and deployment recommendations • Automated Artifact Generation – creates Dockerfiles, Docker Compose, Kubernetes manifests, and GitHub Actions CI/CD pipelines • Human-in-the-Loop Governance – repository, analysis, and artifact approvals at every stage with enterprise standards enforcement • Deployment Readiness Validation – preflight validation ensures artifacts are complete and deployment-ready • Automated Deployment Execution – push to GitHub, manage secrets securely, trigger workflows, and monitor deployments • Full Traceability & Observability – pipeline states, execution logs, and complete audit history for every deployment

Key Value: 60–80% faster application deployment, 70% reduction in DevOps engineering effort, 90%+ deployment standardization, 100% traceability with approvals and audit history, and 30–50% improvement in DevOps productivity. 7-Step Workflow: Project Creation → Repository Discovery → Repository Analysis → Artifact Generation → Artifact Review → Deployment Execution → Continuous Improvement.

Key Use Cases: • Banking – accelerate deployment of core banking, risk analytics, and regulatory microservices with compliance-ready artifacts for OCC exams • Insurance – onboard claims, policy admin, and underwriting microservices with standardized artifacts and Solvency II audit history • Travel – rapid deployment of booking, revenue management, and loyalty microservices during peak-season scaling • Healthcare – HIPAA-compliant deployment of clinical microservices with governed artifacts, secure secrets, and audit trails

The 8-week implementation engagement covers: discovery and repository profiling, platform deployment on Azure, AI analysis configuration, artifact generation setup, human-in-the-loop approval workflow, deployment execution enablement, traceability/observability configuration, and knowledge transfer.

Target Audience: DevOps & Platform Engineering Teams, Cloud Migration Leads, Application Modernization Teams, Data Engineering & Platform Teams, and IT Operations Leaders.