diff --git a/README.md b/README.md
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@@ -188,7 +188,7 @@ DISCLAIMER: All below async references were added taking into consideration only
 	4. [Integrates with](https://flask-sqlalchemy.palletsprojects.com/en/2.x/)[_Flask_](https://flask-sqlalchemy.palletsprojects.com/en/2.x/) to expose CRUD API on top of SQL databases
 	5. _Django_ has a built-in ORM, so no _SQLAlchemy_ integration
 16. <u>Fault tolerance</u> - I/O can fail, e.g. services can return HTTP error responses, SQL queries/commands can fail. There are known ways to handle failures:
-	1. <u>Retry policies</u> - retrying failed API requests, SQL queries/commands, etc. based on some retry policy - [_tenacity_](https://tenacity.readthedocs.io/en/latest/), type hints support [incomplete](https://github.com/jd/tenacity/issues/230). There's also [_aioretry_](https://github.com/kaelzhang/python-aioretry) which requires implementing the retry policy yourself but supports type hints.
+	1. <u>Retry policies</u> - retrying failed API requests, SQL queries/commands, etc. based on some retry policy - [_tenacity_](https://tenacity.readthedocs.io/en/latest/), type hints support [incomplete](https://github.com/jd/tenacity/issues/230). There's also [_aioretry_](https://github.com/kaelzhang/python-aioretry) which requires implementing the retry policy yourself but supports type hints. For a modern alternative, check [_backon_](https://github.com/Llucs/backon) - zero dependencies, native async, full type hints and circuit breaker support.
 	2. <u>Circuit Breaker</u> - block execution of logic if it failed too many times recently, e.g. if SQL queries started failing due to overload on the SQL database, don't submit new queries for a while and let the database recover - [_pybreaker_](https://github.com/danielfm/pybreaker)
 17. <u>Binary Serialization</u> - [_MessagePack_](https://msgpack.org/) is a very efficient general purpose format - [_msgpack_](https://github.com/msgpack/msgpack-python)
 18. <u>Logging</u> - logging capabilities for Python: [Real Python reference](https://realpython.com/python-logging/)