Things to keep in mind...
Understanding the challenges of distributed systems is crucial for software engineers
Thanks for the mention, Saurabh!
Thanks Fran!
Amazing overview! When you break these down, I always feel I'm working on some trivial apps. 😅 Thanks for the shout-out!
Thanks Akos 🙂
Awesome article, Saurabh!
Thanks Petar
Solid breakdown of the challenges, Saurabh!
One thing I’d add:
Idempotency is a lifesaver when dealing with retries and failures, especially in event-driven setups.
Making sure operations don’t accidentally double up can save a ton of headaches.
And many thanks for the mention!
Hi Saurabh,
Firstly, great post! Crisp and to the point.
I have one question about the section "c) Functional Decomposition with CQRS." In this section, you mention that "Read-heavy workloads use denormalized views."
What does the term "denormalized views" mean?
Understanding the challenges of distributed systems is crucial for software engineers
Thanks for the mention, Saurabh!
Thanks Fran!
Amazing overview! When you break these down, I always feel I'm working on some trivial apps. 😅 Thanks for the shout-out!
Thanks Akos 🙂
Awesome article, Saurabh!
Thanks Petar
Solid breakdown of the challenges, Saurabh!
One thing I’d add:
Idempotency is a lifesaver when dealing with retries and failures, especially in event-driven setups.
Making sure operations don’t accidentally double up can save a ton of headaches.
And many thanks for the mention!
Hi Saurabh,
Firstly, great post! Crisp and to the point.
I have one question about the section "c) Functional Decomposition with CQRS." In this section, you mention that "Read-heavy workloads use denormalized views."
What does the term "denormalized views" mean?