Downtime cost calculator for DevOps teams

It helps DevOps teams put a real number on platform downtime costs. You use simple metrics to estimate loss from a technology outage or downtime event for GitHub, GitLab, Bitbucket, Azure DevOps, or Jira, based on team size, average hourly cost, and how much of your daily operations depend on the platform. Then, we return an hourly downtime cost benchmarked against real 2025 disruption data.

From there, you can check your resilience score to see how prepared you are to recover. Most calculators estimate costs from lost production, idle labor, repair, recovery, and intangible losses, while this version focuses on the platform-specific operational inputs already.

We use the same approach as Atlassian's published cost-of-downtime guidance: team members affected × average hourly cost × a productivity-loss factor.

This model simulates the correct calculation by asking how many employees are affected and the average salary or labor-cost equivalent behind the hourly input.

All that is tied to how much of your daily operations the platform supports.

Broader downtime calculations should include direct and indirect costs, and the total impact can exceed initial estimates by two to four times once indirect costs are included.

The "real scenario" benchmarks come from GitProtect's own DevOps Threats Unwrapped 2026 Report, which tracked 607 incidents across GitHub, GitLab, Azure DevOps, Jira, and Bitbucket's public status pages throughout 2025.

The "worst case scenario" is a hypothetical full-standstill scenario — not tied to any specific event. We have added a fixed amount of time needed to run a full recovery on each platform and make it operational again.

The calculator provides an estimated downtime benchmark and helps frame risk, but it does not calculate actual loss or reflect actual loss for every environment. The cost formula itself follows Atlassian's published methodology. It is also directionally consistent with independent research like the ITIC 2024 Hourly Cost of Downtime Report, which found that 90% of mid-size and large firms report per-hour downtime costs above $300,000. Results can vary depending on team structure, workflows, and the systems involved.

Outside DevOps-specific scenarios, studies often cite averages such as $5,600 per minute overall and $137 to $427 per minute for small businesses. It's a benchmark estimate, not a substitute for your own financial modeling — but it's grounded in real, current incident data rather than guesswork.

Three things typically drive that gap. The first is data loss during the incident itself: downtime caused by an AI agent or automation acting on bad instructions, or by a ransomware attack, can cost the data along with the recovery time.

GitProtect's DevOps Threats Unwrapped 2026 report recorded 68 AI-related incidents in 2025, up 43% in the second half of the year, and Sophos State of Ransomware 2025 found that just 54% of ransomware victims recover their data through backups alone — the lowest rate in six years — with the average recovery cost (excluding any ransom paid) reaching $1.53M.

The second is missed delivery commitments: ITIC 2024 Hourly Cost of Downtime Report found that 90% of mid-size and large firms report per-hour downtime costs above $300,000, a business cost that regularly exceeds the payroll-based estimate above.

The third is lost business and reputation: IBM's Cost of a Data Breach 2025 puts the average lost-business cost of a breach — lost customers, business disruption, reputational damage — at $1.38M, and 70% of customers say they'd stop buying from a brand after a security incident, a hit that tends to outlast the technical fix.

In short, the calculator gives you the floor, not the ceiling. The resilience check below shows how exposed you actually are to the costs above.

Because the dollar figure above only captures the measurable part of downtime: payroll and lost productivity for the outage itself. It doesn't capture how an IT outage can damage employee productivity and create extra recovery costs beyond the outage itself if that disruption turns into actual data loss. The resilience check shows whether your current setup would hold up if that happened, which the cost number alone can't tell you. Even after systems are back online, recovery time after data loss can keep generating costs.

It's based on six yes/partially/no questions covering backup automation, immutability, retention, storage independence, tested restores, and access controls — the same practices security teams use to assess recovery capabilities. Your answers map to a score of Resilient, At risk, or Exposed. It's a directional self-assessment based on industry experts' experience and meant as a general analysis, not a formal audit. However, every "no" and "partial" points to a specific gap in your backup and recovery strategy that your provider's SLA won't cover when disaster strikes.