EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 14·5 min read
For the love of god stop using CPU limits in Kubernetes
TL;DR
Removing CPU limits in Kubernetes can significantly enhance application performance, reducing latency and speeding up CPU-bound tasks. Retaining CPU requests and memory limits is essential for resource management.
✦ Why It Matters
Remove CPU limits in your Kubernetes clusters to improve application performance and responsiveness.
Key Takeaways
- Remove CPU limits to prevent application throttling.
- Maintain CPU requests for fair resource allocation.
- Keep memory limits to protect against out-of-memory errors.
- Right-size CPU requests to optimize resource usage.
How It Works
Kubernetes uses the Completely Fair Scheduler (CFS) to allocate CPU resources based on requests. When limits are set, applications can be throttled, causing them to freeze and perform poorly, even if idle CPU is available.
Without limits, applications can utilize available CPU resources more effectively, leading to improved performance.