Teams only plan for AZ resilience, not full region loss. When a region goes down (outage, geopolitical event), migration is panic-driven and manual.
Scans your cloud infrastructure (via Terraform state, AWS APIs), maps all dependencies, generates a ready-to-execute migration plan to a target region, and provides a one-click failover button that orchestrates the cutover.
subscription
The Reddit thread with 447 upvotes and 93 comments around a real region attack is strong signal. The pain quotes are visceral — 'no possibility for recovery' and 'panic-driven migration.' However, this pain is episodic (only felt during outages) and many teams deprioritize it until disaster strikes. The intensity is extreme when felt, but latent most of the time — classic 'insurance' problem.
TAM: ~500K+ companies running production workloads on AWS/GCP/Azure. SAM: ~50K-100K companies with single-region production deployments and enough scale to care about DR. SOM (realistic first 2 years): 200-500 customers. At $500-2000/month, that's $1.2M-$12M ARR potential in early years. Cloud DR market overall is $15B+ and growing 20%+ YoY, but this specific niche (IaC-aware, auto-planning) is a new wedge.
DR is notoriously hard to sell before the disaster happens. Budget is often allocated post-incident. The good news: compliance requirements (SOC2, DORA, HIPAA) increasingly mandate documented DR plans, which creates forced demand. Companies already pay $20-25/server/month for basic replication tools. An intelligent planning layer on top could command $500-3000/month. Risk: free-tier expectations in DevOps tooling are strong, and teams may try to DIY with Terraform.
This is technically ambitious for a solo dev MVP in 4-8 weeks. Challenges: (1) parsing Terraform state AND cloud APIs for AWS/GCP/Azure is three separate integration surfaces, (2) dependency mapping across 50+ AWS service types is complex, (3) generating correct migration plans requires deep knowledge of service-specific constraints (e.g., RDS cross-region replicas, S3 replication, IAM differences), (4) the 'one-click failover' button is extremely high stakes — a bug could cause data loss. A realistic MVP: AWS-only, Terraform state scanning, dependency visualization, and a generated runbook (not automated execution). Even that is tight for 8 weeks.
This is the strongest signal. Every existing tool is VM/server-centric and requires manual DR architecture design. NONE of them: (1) scan Terraform state to understand your actual infrastructure, (2) auto-map dependencies across managed services, (3) generate a migration plan, or (4) handle cloud-native/serverless workloads properly. The gap between 'replicate my VMs' (what exists) and 'understand my entire cloud architecture and plan a region migration' (what's needed) is massive and growing as more workloads go serverless.
Extremely strong subscription fit. Infrastructure changes constantly — dependency maps need continuous updates, migration plans need re-validation, drift detection is ongoing. Natural subscription tiers: (1) scan and plan (read-only), (2) continuous monitoring and alerting, (3) automated failover orchestration. Once embedded in a team's DR workflow, churn is very low — switching costs are high because the tool understands your specific infrastructure.
- +Massive gap in market — no tool does IaC-aware, cloud-native DR planning
- +Strong pain signal validated by real incident with high community engagement
- +Regulatory tailwinds (DORA, SOC2, HIPAA) creating forced demand for documented DR
- +High switching costs and strong recurring revenue mechanics once adopted
- +Wedge opportunity: start with planning/visualization (low risk), expand to orchestration
- !Technical complexity is high — covering even AWS properly requires deep service-specific knowledge across 50+ services; multi-cloud multiplies this 3x
- !Insurance-product sales dynamics: hard to sell until after disaster, long sales cycles
- !AWS/GCP/Azure could build this natively — cloud providers have the API access and incentive (though historically they build basic tools and leave gaps)
- !The 'one-click failover' promise is extremely high stakes — any failure during an actual disaster destroys trust permanently
- !Solo dev building a tool that SRE teams trust with production infrastructure is a credibility challenge
Formerly CloudEndure. Continuous block-level replication of servers to a target AWS region with automated failover and failback. Focuses on lift-and-shift server recovery.
Microsoft's DR service providing replication, failover, and recovery for Azure VMs, on-prem servers, and VMware VMs across Azure regions.
Enterprise-grade continuous data protection and disaster recovery platform. Journal-based recovery with near-zero RPO across on-prem, AWS, Azure, and GCP.
Backup, recovery, and replication platform supporting VMs, physical servers, and some cloud-native workloads across AWS, Azure, and GCP.
Many teams build their own multi-region DR using Terraform modules, custom scripts, and CI/CD pipelines. Common approach in IaC-mature organizations.
AWS-only. Connect via read-only IAM role + optional Terraform state file. Scan and visualize all resources in the current region with a dependency graph. Flag resources that have NO cross-region recovery path. Generate a PDF/Markdown 'Region Escape Plan' — a step-by-step runbook for migrating to a target region, including estimated time, data transfer costs, and service-specific instructions. NO automated execution in MVP — just the plan. Add a 'DR readiness score' (0-100) as a compelling dashboard metric. This is buildable in 6-8 weeks for a strong backend dev.
Free: scan up to 50 resources, get a basic DR readiness score and gap report. Paid ($299-499/month): unlimited resources, full dependency mapping, detailed migration runbooks, continuous monitoring, Slack/PagerDuty alerts on DR readiness drift. Enterprise ($1500-3000/month): multi-account, multi-cloud, automated failover orchestration, compliance reporting (SOC2/DORA artifacts), SSO/RBAC. Upsell: DR drill simulation (charge per drill), consulting/professional services for initial setup.
3-4 months. Month 1-2: build AWS scanner and dependency mapper. Month 2-3: build runbook generator and readiness scoring. Month 3-4: beta with 5-10 DevOps teams from Reddit/HackerNews, convert 2-3 to paid. First meaningful revenue ($5-10K MRR) likely at month 6-8.
- “those who haven't started yet or are in progress, I don't think there's any possibility for recovery”
- “We were only planning for AZ resilience before the war”
- “the whole transition to another region took less than a day”