EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Aug 3·5 min read
Retries don't fix eventual consistency
TL;DR
Retries are often misapplied in distributed systems, where eventual consistency means that missing data isn't a failure. Recognizing this can simplify system design and reduce unnecessary complexity.
✦ Why It Matters
Evaluate your retry strategies and consider if they are truly necessary in your distributed systems.
Key Takeaways
- Recognize that missing data isn't a failure in distributed systems.
- Store incoming data until all prerequisites are met for processing.
- Avoid unnecessary retries and dead-letter queues to reduce complexity.
- Assess whether retries are solving a real problem or just adding overhead.
How It Works
In distributed systems, events may arrive out of order, and treating this as a failure complicates the architecture. Instead, by storing all incoming messages and processing them only when all required data is present, systems can operate more efficiently without the need for retries.