System Design - Kafka vs. RabbitMQ vs. Messaging Middleware vs. Pulsar; Http2; Idempotency

https://open.substack.com/pub/bytebytego/p/ep117-what-makes-http2-faster-than?r=1lyxr2&utm_campaign=post&utm_medium=email

Temporal courses

https://learn.temporal.io/courses/

Rama - competitor to Temporal

https://blog.redplanetlabs.com/2023/08/15/how-we-reduced-the-cost-of-building-twitter-at-twitter-scale-by-100x/

Workflow Engine Principles

https://temporal.io/blog/workflow-engine-principles

https://share.transistor.fm/s/65974dd6

Join Jason for another round of “Build Things on Purpose.” This time Jason is joined by Maxim Fateev and Samar Abbas, co-founders of Temporal, to talk about the software and solutions they are developing for orchestrating micro services. Maxim and Samar talk about their joint work in the past on various projects to include the Cadence project, which has laid the foundation for what they are continuing to do at Temporal. Check out this “Build Things” conversation as Maxim and Samar go into the details on the nature of their work at Temporal!

Durable Execution

https://orkes.io/blog/why-your-applications-need-durable-execution/

https://materializedview.io/p/durable-execution-justifying-the-bubble

First heard about it in a podcast featuring Temporal's CEO

System Design: 11 basic & essential concepts

Below is from a post by Kartikeya Sapra on LinkedIn

11 basic & essential concepts:

1. Scalability
- Ensures systems can handle increased load and grow efficiently.

Link → https://lnkd.in/dD-GZpVq

2. Latency vs Throughput
- Balances speed and capacity in system performance.

Link → https://lnkd.in/dscK9g3E

3. CAP Theorem
- Explains the trade-offs between consistency, availability, and partition tolerance in distributed systems.

Link → https://lnkd.in/dFpgDSnY

4. ACID Transactions
- Guarantees reliable database processing through atomicity, consistency, isolation, and durability.

Link → https://lnkd.in/dkkmMu_D

5. Rate Limiting
- Controls the amount of incoming and outgoing traffic to prevent overload and abuse.

Link → https://lnkd.in/dY9NqRG9

6. API Design
- Ensures APIs are user-friendly, efficient, and maintainable.

Link → https://lnkd.in/dTgxGa5i

7. Strong vs Eventual Consistency
- Balances the need for immediate data consistency versus eventual data accuracy in distributed systems.

Link → https://lnkd.in/dQDwa7TQ

8. Distributed Tracing
- Helps monitor and debug complex, distributed systems by tracking requests across multiple services.

Link → https://lnkd.in/dA-3swq2

9. Synchronous vs Asynchronous Communications
- Determines how systems interact, either waiting for responses (synchronous) or continuing independently (asynchronous).

Link → https://lnkd.in/dx2nFDgR

10. Batch Processing vs Stream Processing
- Differentiates between processing large volumes of data at once (batch) and processing data in real-time (stream).

Link → https://lnkd.in/dqGFQppV

11. Fault Tolerance
- Ensures systems remain operational despite failures or errors.

Link → https://lnkd.in/dzKWh4ju