Forwarded from πππ§π π¦π§π₯π¨ππ§π¨π₯ππ¦ ππ‘π ππππ’π₯ππ§ππ π¦ (Kanahaiya)
Wishing you & your family a very very Happy New Year ππ
Hopefully in 2024 will rock together π π
Hopefully in 2024 will rock together π π
Forwarded from πππ§π π¦π§π₯π¨ππ§π¨π₯ππ¦ ππ‘π ππππ’π₯ππ§ππ π¦ (Kanahaiya)
Please join-
https://chat.whatsapp.com/KPPBabHFFly6TO52zojgJR
https://chat.whatsapp.com/KPPBabHFFly6TO52zojgJR
Forwarded from πππ§π π¦π§π₯π¨ππ§π¨π₯ππ¦ ππ‘π ππππ’π₯ππ§ππ π¦ (Kanahaiya)
Telegram might get ban so joined above WhatsApp app for backup
Forwarded from πππ§π π¦π§π₯π¨ππ§π¨π₯ππ¦ ππ‘π ππππ’π₯ππ§ππ π¦ (Kanahaiya)
If someone interested they can buy the subscription at discounted price.
Discount will no longer be available after 2 hrs-
https://shorturl.at/4QQ2t
Discount will no longer be available after 2 hrs-
https://shorturl.at/4QQ2t
Forwarded from πππ§π π¦π§π₯π¨ππ§π¨π₯ππ¦ ππ‘π ππππ’π₯ππ§ππ π¦ (Kanhaiya)
I had studied this Dynamic Programming book a long time back during my DSA preparation.
It really helped me build a strong foundation and solve problems with confidence.
Sharing the link here in case anyone wants to check it out: Link
It really helped me build a strong foundation and solve problems with confidence.
Sharing the link here in case anyone wants to check it out: Link
π A book worth reading if you build backend systems π
π§ There's a difference between knowing Kafka and understanding distributed systems.
You can build APIs, configure Kafka consumers, and work with databases every dayβbut can you explain what happens when things go wrong?
β Why doesn't Kafka automatically guarantee that your business operation happens only once?
β Why can two database replicas disagree even when both are healthy?
β Why can adding more servers make a system more expensive without fixing the real bottleneck?
These are the kinds of questions that separate writing backend code from understanding the systems behind it.
I've personally read part of the original edition of a book that explores these concepts in depth. What makes it worth exploring is that it focuses on the reasoning behind data systemsβnot just the tools or frameworks.
There's now an updated second edition, too.
If you're working with Java, Spring Boot, Kafka, or microservicesβor preparing for senior backend interviewsβthis is one resource I'd suggest looking into.
π Curious what the updated edition covers? Take a look here:
https://link.amazon/B0iadbjlH
π§ There's a difference between knowing Kafka and understanding distributed systems.
You can build APIs, configure Kafka consumers, and work with databases every dayβbut can you explain what happens when things go wrong?
β Why doesn't Kafka automatically guarantee that your business operation happens only once?
β Why can two database replicas disagree even when both are healthy?
β Why can adding more servers make a system more expensive without fixing the real bottleneck?
These are the kinds of questions that separate writing backend code from understanding the systems behind it.
I've personally read part of the original edition of a book that explores these concepts in depth. What makes it worth exploring is that it focuses on the reasoning behind data systemsβnot just the tools or frameworks.
There's now an updated second edition, too.
If you're working with Java, Spring Boot, Kafka, or microservicesβor preparing for senior backend interviewsβthis is one resource I'd suggest looking into.
π Curious what the updated edition covers? Take a look here:
https://link.amazon/B0iadbjlH
amzlinks.in
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, 2nd Edition (Greyscaleβ¦