Project Name
Migration of 600+ Resources to Terraform Cloud in 3 Weeks
Our client is a fast-growing Series B SaaS company serving customers across North America with a cloud-native platform running on AWS. With over 200 employees including a 25-person engineering organisation, the company had outgrown its early-stage infrastructure practices.
Rapid feature development and an expanding microservices footprint drove the need for a more robust, collaborative approach to infrastructure-as-code management – one that could scale with the engineering team without sacrificing control, reliability, or the audit trail the company needed as it prepared for SOC 2 compliance.
Self-managed S3 state had worked at 5 engineers. At 25, it had become the single largest source of deployment friction in the organisation.
Twenty-five engineers, one shared S3 state file, and a deployment process that required coordinating infrastructure changes in Slack before anyone could run a plan.
- State-Locking Deadlocks Delaying Deployments: With 25+ engineers sharing a single S3-backed Terraform state, concurrent apply operations frequently triggered lock conflicts, delaying deployments and forcing manual coordination.
- No Visibility Into Infrastructure Drift: Teams lacked a centralized view of plan outputs and apply history, making it difficult to track infrastructure changes and creating compliance challenges ahead of SOC 2 audits.
- Manual State Management Bottlenecks: Shared S3 state files required senior engineers to manually resolve locks and coordinate access, consuming valuable platform engineering time.
- Inconsistent Access Controls Across AWS Accounts: Ad-hoc IAM policies and limited environment separation increased the risk of unintended production changes from development workflows.
- No Policy Guardrails for Infrastructure Changes: Security and cost violations were often detected only after deployment, with no automated policy enforcement during infrastructure provisioning.
- Slow Plan-to-Apply Review Cycles: Terraform plans were shared through chat and email, creating fragmented approvals, slower deployments, and a higher risk of applying outdated plans.
Ksolves, an AI-first DevOps consulting services company, executed a phased migration of 600+ resources from a self-managed S3 backend to Terraform Cloud, introducing VCS-driven workflows, RBAC controls, and policy-as-code guardrails. Following a zero-downtime approach, every workspace migration was validated through targeted plans and parallel state comparisons before final cutover, ensuring production workloads remained unaffected throughout the three-week engagement.
- Terraform Cloud Remote State Migration: Migrated all workspace states from the shared S3 backend to Terraform Cloud's managed remote state, eliminating lock conflicts through isolated workspaces and automated state locking.
- VCS-Driven Workflow With GitHub Actions: Integrated Terraform Cloud with GitHub repositories to enable automatic plan generation on pull requests and controlled applies on merge, replacing manual plan reviews over Slack.
- Role-Based Access Control and Workspace Segmentation: Reorganized workspaces by team and environment, enforcing clear separation between development, staging, and production through Terraform Cloud RBAC.
- Sentinel Policy-as-Code Guardrails: Implemented policy checks for mandatory tagging, approved instance types, and cost controls, preventing non-compliant infrastructure changes before deployment.
- Phased Cutover With Parallel Validation: Migrated workspaces in stages, validating Terraform Cloud outputs against the legacy backend before each cutover to ensure consistency and maintain rollback options.
Technology Stack
| Category | Technology |
|---|---|
| Infrastructure | HCP Terraform Cloud |
| Integration | GitHub Actions |
| Platform | Amazon Web Services (AWS) |
| DevSecOps | Sentinel Policy as Code |
| Methodology | Phased Migration Framework |
| Security | Terraform Cloud RBAC |
From daily state-lock conflicts and manual deployment coordination to isolated workspace states, VCS-driven workflows, and automated policy enforcement across 600+ resources in just three weeks with zero downtime.
- Zero-Downtime Migration of 600+ Resources in 3 Weeks: Successfully migrated 600+ resources to Terraform Cloud with no production-impacting incidents, using phased cutovers and validated rollback paths.
- State-Locking Conflicts Eliminated for 25+ Engineers: Automated state locking removed deployment bottlenecks, enabling parallel Terraform operations without manual coordination.
- 50% Reduction in Failed Apply Operations: Failed apply rates dropped from roughly 30% to below 15% within the first month by eliminating stale state and lock-related issues.
- Complete Visibility Into Infrastructure Changes: Terraform Cloud now provides a centralized audit trail for every plan, apply, and state change, supporting SOC 2 compliance efforts.
- Pre-Apply Policy Enforcement Enabled: Sentinel policies now block security and cost violations before deployment, replacing reactive post-deployment audit processes.
As the engineering team grew, a shared Terraform state became a bottleneck to infrastructure delivery. Ksolves resolved this challenge by migrating 600+ resources to Terraform Cloud in just three weeks with zero production downtime. The new platform eliminated state-lock conflicts, introduced VCS-driven workflows and policy guardrails, and provided complete visibility into infrastructure changes with automated audit trails. With a scalable Terraform Cloud foundation now in place, the company is well-positioned to support future growth while maintaining stronger governance, security, and deployment velocity.
Struggling with Terraform State Management at Scale?
