DevOps tools like Jira, Confluence, GitHub, Bitbucket, and Azure DevOps keep your pipelines moving. But what happens when a single deletion, failed sync, or AI mishap wipes out critical data?
This guide shows how small errors can snowball into costly outages and how a smarter backup strategy can stop them in their tracks.
The real cost of downtime: up to $12.96M/day.
65% of customers lose trust in a brand after a data breach.
79% of IT professionals think DevOps platforms handle user-level data recovery. The responsibility actually falls on you.
Every DevOps failure starts with a single event.
If a project manager deletes a Jira story…
Then your sprint collapses.
If an engineer pushes a bad GitHub commit…
Then critical features go down.
If an AI agent malfunctions mid-import…
Then your database is corrupted.
Disasters are inevitable. Data loss doesn’t have to be.
Here are just a few real examples from teams who faced data loss—and what they learned:
Global Rail Group: The backup blind spot
The company had no backup plan for Jira or Confluence. If a mistake or breach occurred, years of engineering data were at risk. Rewind brought the team EU-compliant, automated backups, so they could ship with confidence.
Lesson: No backup means no safety net.
Lutron Electronics: The migration gap
When Lutron moved to Atlassian Cloud, backups weren’t included—and critical documentation was exposed to accidental loss or compliance risk. Rewind stepped in with automated, SOC 2–compliant backups tailored to Lutron’s needs.
Lesson: Migration doesn’t mean protection.
Costain: The fragile manual process
Three-times-weekly backups using ZIP files, handled manually, were risky and time-consuming. Rewind gave the team back hours of productivity and peace of mind.
Lesson: If your backup depends on one person, it’s not a strategy.
Don’t let data disasters win.
The data loss domino effect is a must-read for IT, engineering, and DevOps leaders who want to stop the consequences of data loss before it starts. Learn:
- The true cost of doing nothing
- How to shield your organization from the cascading impacts of data loss
- Real-world examples, industry benchmarks, and actionable insights for building data resilience
