Engineers manually track cloud provider outages, bugs, and zombie resources in notes or spreadsheets with no structured way to measure cumulative impact or justify migration decisions.
An agent that monitors your cloud environment, auto-detects provider-side issues (zombie resources, failed provisioning, silent restores), logs them with timestamps and blast radius, and generates reports showing total downtime, cost impact, and reliability scores over time.
Freemium — free for up to 5 tracked resources, $49/mo per team for full monitoring and reporting
The pain is real — engineers DO manually track provider issues in spreadsheets and Slack threads, and the cited Reddit thread proves widespread frustration. However, it's a 'slow burn' pain, not a 'hair on fire' emergency. Most teams tolerate it until a major outage forces a conversation. The pain spikes during incident reviews and budget cycles, but is background noise otherwise.
Target of mid-size companies (50-500 devs) with multi-cloud is a solid segment — estimated 15K-30K companies globally. At $49/mo/team, even capturing 1-2% yields $900K-$1.8M ARR. But the addressable market narrows significantly: many teams won't pay for a standalone tool when they already spend heavily on Datadog/PagerDuty. TAM is likely $50-150M for this specific niche, which is solid for a bootstrapped/small business but may underwhelm VC.
This is the weakest link. DevOps teams already suffer severe tool fatigue and budget scrutiny. $49/mo is cheap, but adding ANOTHER monitoring tool to the stack faces organizational resistance. The value prop (migration justification, reliability reports) is compelling to platform engineering leads but may be hard to get through procurement. Free tier helps, but conversion will be challenging. The buyer (VP Eng / Platform Lead) and the user (DevOps engineer) are different people with different motivations.
Core monitoring via cloud provider APIs (AWS CloudTrail, Azure Activity Log, GCP Operations) is straightforward. BUT reliably detecting provider-side vs. user-side issues is genuinely hard — this is the core IP challenge. Zombie resource detection requires deep knowledge of each provider's quirks. Silent restore detection requires baseline comparison. A solo dev can build an MVP that monitors and logs in 4-8 weeks, but the ATTRIBUTION engine (was this Azure's fault or yours?) will take significantly longer to make reliable. False positives here destroy trust.
This is where the idea shines. No existing tool focuses on provider-side issue attribution and cumulative impact. PagerDuty/FireHydrant track YOUR incidents. Datadog monitors YOUR infra health. Status aggregators only catch public outages. FinOps tools track cost but not reliability. The specific combination of: auto-detect provider issues + log with blast radius + cumulative reliability scoring + migration justification reports is genuinely unserved. The gap is clear and defensible.
Excellent subscription fit. The value compounds over time — the longer you track, the more valuable the historical data and trend reports become. Monthly/quarterly reliability reports create natural retention hooks. Migration justification requires historical data you can't recreate. Teams won't want to lose their incident history. This has strong natural lock-in without being adversarial about it.
- +Clear competitive gap — no tool does provider-side issue attribution with cumulative impact tracking
- +Value compounds over time, creating strong natural retention and switching costs
- +Pain signal is validated by organic community frustration (1670 upvotes, 262 comments)
- +Multi-cloud trend is a tailwind — provider comparison becomes more valuable as teams diversify
- +Low price point ($49/mo) makes it an easy expense-report purchase, avoiding lengthy procurement
- !Provider-side vs. user-side attribution is technically very hard to get right — false positives will kill trust and churn users fast
- !Datadog, PagerDuty, or cloud providers themselves could add this as a feature (platform risk) — AWS/Azure/GCP have zero incentive to help you measure their failures, but Datadog might
- !Tool fatigue in DevOps is real — teams resist adding 'yet another dashboard' regardless of value
- !The buyer who cares most (VP wanting migration data) is not the daily user (DevOps engineer doing the tracking) — dual-persona products are harder to grow
- !Azure-specific pain may not generalize — AWS has better reliability reputation, so AWS-primary teams may not feel the pain as acutely
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Start Azure-only (that's where the loudest pain is). Build an agent that connects to Azure Activity Log and Resource Graph, detects three specific issue types: (1) zombie resources that fail deletion, (2) failed VM/AKS provisioning, (3) unexpected resource state changes (silent restores). Log each with timestamp, affected resources, and estimated blast radius. Generate a weekly email report showing 'Azure caused X issues this week, estimated Y minutes of engineer time wasted.' Skip the multi-cloud and cost-impact features for V1 — nail the detection accuracy on Azure first.
Free tier (up to 3 tracked resource groups, weekly email digest) → Team plan at $49/mo (unlimited resources, daily Slack alerts, monthly PDF reports, export to CSV) → Enterprise at $199/mo (multi-cloud, API access, JIRA/ServiceNow integration, custom reliability SLAs, executive dashboards for migration business cases)
8-12 weeks to MVP with Azure support. First paying customers likely at week 12-16 if you engage the Reddit community that surfaced the pain signal. Path to $10K MRR: 6-9 months with focused Azure/DevOps community marketing. The constraint is detection accuracy, not distribution — the Reddit thread is a ready-made launch audience.
- “Last year I started writing down all issues I have encountered with azure and the duration of those issues”
- “zombie resources that can not be deleted”
- “vm provisioning not working at all in aks”
- “azure restoring our aks from a backup”