Fault-Tolerance

Your payment service is down. Every request to it times out after 30 seconds. You have 100 requests per second hitting that endpoint. Do the math: within a minute, you’ve got 6,000 threads waiting on a dead service, and your entire application is choking. This is where circuit breakers earn their keep. The Problem: Cascading Failures In distributed systems, a single failing dependency can take down everything. Without protection, your system will: ...

In distributed systems, failures are inevitable. A single slow or failing service can cascade through your entire architecture, turning a minor issue into a major outage. Circuit breakers prevent this by detecting failures and stopping the cascade before it spreads. The Problem: Cascading Failures Imagine Service A calls Service B, which calls Service C. If Service C becomes slow: Requests to C start timing out Service B’s thread pool fills up waiting for C Service B becomes slow Service A’s threads fill up waiting for B Your entire system grinds to a halt One slow service just took down everything. ...