Retry patterns are a common technique used in microservices to handle transient errors, such as network failures or temporary service unavailability. Retry patterns can help to ensure that requests to a microservice are eventually successful, even in the face of failures.
There are several different retry patterns that can be used in microservices, including:
- Simple Retry: This pattern involves retrying a request a fixed number of times, with a fixed delay between each retry. This approach is best used for handling short-lived, transient errors that are likely to be resolved within a few retries.
- Exponential Backoff: This pattern involves retrying a request with an increasing delay between each retry. The delay is typically increased exponentially, so that the delay between retries increases as the number of retries increases. This approach is best used for handling longer-lived, persistent errors that may take longer to resolve.
- Full Jitter: This pattern is similar to Exponential Backoff, but instead of having a fixed delay between retries, it uses random delay to distribute the retries over time, which helps to prevent overloading a service with too many retries at the same time.
- Fixed-Duration Retry: This pattern retries an operation a fixed number of times with a fixed delay between retries. This pattern is useful in situations where the operation is expected to complete in a certain amount of time.
- Retry with Randomized Wait: This pattern retries an operation with a randomized delay between retries. The delay between retries is chosen randomly from a range of possible delay values. This pattern can be useful when there is a varying amount of time required for the operation to complete.
- Retry with Limited Attempts: This pattern retries an operation a limited number of times. After the maximum number of attempts is reached, the operation is considered failed.