This article explores implementing a circuit breaker pattern to prevent service disruptions during high-load scenarios.
In this lesson, we explore implementing a circuit breaker pattern to help prevent service disruptions during high-load scenarios. By configuring strict rules, we can ensure that our services maintain stability even when overwhelmed by excessive requests.
In this configuration, limiting connections and request queues ensures that when the load exceeds these parameters, the circuit breaker triggers, protecting the service from overload.
Start by sending 1,000 HTTP requests with a single concurrent client. The -n flag specifies the total number of requests, while -c sets the concurrency level:
While a single concurrent client may succeed, increasing the concurrency will test the resilience of the circuit breaker. Below are examples of tests with higher concurrency:
Under the strict circuit breaker configuration, you’ll observe that the product page starts to fail and deny requests under higher concurrency. This behavior is critical to prevent service overload and maintain overall system stability.
Telemetry data captured from the service mesh confirms that the product page fails gracefully when the load exceeds the set limits. This indicates that the circuit breaker is effectively rejecting excessive requests, thereby ensuring the continuous stability of your service under high load conditions.