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Caching is hard, but in this caching tutorial we're going to learn about 4 different challenges engineers face when working with a cache once the application grows. ======⚡⚡⚡====== Consider becoming a member of the channel by joining me ❤️ https://www.youtube.com/channel/UCqAL_b-jUOTPjrTSNl2SNaQ/join ☕ Buy me a coffee: https://www.buymeacoffee.com/softwaredeveloperdiaries 🙌 Become my Patreon and get exclusive perks: https://patreon.com/softdevdiaries 💼 Follow me on LinkedIn and drop me a message if you'd like: https://www.linkedin.com/in/gadirovgs/ 💻 Also, let's connect on GitHub: https://github.com/gusgad 📚 Resources: Caching strategies: https://youtu.be/bP4BeUjNkXc HTTP caching: https://youtu.be/Cy2ZJOBgk84 Bloom filter: https://aws.amazon.com/blogs/database/implement-fast-space-efficient-lookups-using-bloom-filters-in-amazon-elasticache/ Code: https://github.com/gusgad/youtube-tutorials/tree/caching-challenges 🕒 Timestamps: 0:00 Intro 1:20 Thundering herd 7:19 Cache penetration 10:56 Cache avalanche 12:27 Hot key problem And don't forget to subscribe for more videos like this 😊
