?? The Hidden Danger in API Workflows – Race Conditions!
Shivakumar A.
Middle Ware ★ Workato ★ IIB ★ Tableau ★ Java ★ AWS ★ Banking Domain ★ Insurance Domain ★ HealthCare Domain ★ Integration and Automation Enthusiast ★ Integration Career Coach ★ Digital Creator
?? INSIGHT | Integration Challenges – Can You Solve It?
APIs power modern integrations, ensuring seamless data flow between systems. But what happens when two or more processes try to update the same data at the same time?
Welcome to the world of Race Conditions! ??
??? The Problem – Conflicting Updates in API Calls
Imagine this scenario:
?? System A and System B both need to update the same record in a database. ?? Two API calls are made almost simultaneously, but only one can win. ?? The first update gets overwritten by the second one, leading to data inconsistency.
?? End result? Unpredictable behavior, missing data, and integration failures.
?? Can You Solve This?
Before we reveal the best practices to prevent race conditions, let’s hear from you!
?? How would you ensure data integrity when multiple API calls hit the same record?
?? Would you use locking mechanisms, timestamps, or idempotency keys?
?? How do you handle race conditions in your API workflows?
Drop your thoughts in the comments! ??
?? Stay tuned for tomorrow’s edition—where we’ll break down the solution and best practices for handling race conditions in API integrations! ??
#INSIGHT #IntegrationChallenges #RaceConditions #APIManagement #Workato #Automation #LogicalThinking