Anju Garg

With hundreds of microservices deployed every day, production incidents manage to slip through. In distributed systems, failures rarely have a single cause – services can fail independently, dependencies change over time, and environments are temporary.  Traditional QA practices often don’t scale well under these conditions. To maintain quality without slowing delivery, teams need approaches that balance speed, coverage, and reliability in a way that fits modern systems.  In this blog, we...

A critical production issue slips through late on a Friday evening. Customers are impacted, support tickets surge, and the team scrambles to diagnose what went wrong. The post-incident analysis reveals a familiar pattern: the issue could have been caught earlier—might be the testing was rushed or misaligned with business priorities.  Many teams test extensively yet still struggle with delayed releases, high defect rates in production, and reduced customer trust. The root cause is often the...