TLDR Software teams constantly juggle speed and quality, but production issues significantly drain resources. A study of 280 developers reveals that while 62% of teams use automated testing, 30% lack performance testing, leading to bottlenecks. Engineering teams spend 10-35% of their capacity on production issues, with diagnostics consuming 70% of that time. Despite high cloud costs, only 25.7% of teams optimize code-level inefficiencies. Shifting issue detection left can reduce cloud waste, cut troubleshooting time, and improve software reliability.
🔗 https://digma.ai/the-hidden-costs-of-production-issues-insights-from-280-companies