Master Flaky Systems With Retries in Python 🐍 (avoid self-DDoS) скачать в хорошем качестве

Master Flaky Systems With Retries in Python 🐍 (avoid self-DDoS)

Every system fails eventually and your Python app is no different. And while failure is inevitable, downtime isn't. One of the key reliability tools in distributed systems are retries – so let's look how they can do more harm than good, and how to retry safely and easily in Python by using the stamina and httpx packages as examples. Both using a decorator and a smart loop-context manager combo! 🔗 Links ► https://stamina.hynek.me/ ► https://tenacity.readthedocs.io/ ► https://www.structlog.org/ ► https://en.wikipedia.org/wiki/Thunder... ► https://en.wikipedia.org/wiki/Denial-... ► https://www.bbc.com/news/business-646... ► https://www.w3.org/Provider/Style/URI ► https://sre.google/books/ ► https://how.complexsystems.fail ► https://en.wikipedia.org/wiki/Three_M... ► https://longform.asmartbear.com/scale... ►    • Hynek Schlawack   Solid Snakes or How to T...   🤓 ME ELSEWHERE 🏡: https://hynek.me/ 🐘: https://mastodon.social/@hynek/ 🦋: https://bsky.app/profile/hynek.me 🅇:   / hynek   🧵: https://www.threads.net/@the_hynek ✉️ Newsletter: https://buttondown.email/hynek ❤️ Support my work: https://hynek.me/say-thanks/ 🙏 CREDITS Outro Music: ‪@RPLKTR‬ / https://rplktr.com/ Other music and material licensed from Envato. 📖 Chapters 00:00 Failures are a fact of life. 01:03 Who's talking? 01:54 Why retries? 02:46 Dangers of retries. 03:23 Backoffs 04:38 Timeouts 05:00 Jitters ☕️ 05:20 A brief glimpse at advanced problems (feat. elementary school math) 06:44 Python: Tenacity 08:02 Introducing stamina 08:43 stamina: decorator 10:35 stamina: loop + context manager 11:03 stamina: RetryingCaller / AsyncRetryingCaller 12:02 stamina: testing helpers 13:04 stamina: instrumentation 14:29 Summary & takeaways 15:18 Thank you & goodbye! ❤️