Engineering Practices to Prevent Zola Memory Leaks
Memory optimization solution for the chat history feature:
- Pagination loading mechanism(1) Modification
hooks/useChatImplement lazy loading; 2) Set a maximum of 50 messages to load on a single page; 3) Use Intersection Observer to trigger loading - Data cleansing strategy1) Configure automatic archiving in the Supabase client; 2) Set up an LRU elimination mechanism for the preview cache of files in base64 format
- Memory Monitoring: 1) Integration of the memwatch-next module; 2) In the
next.config.jsEnable the memory analysis plugin; 3) Set the process restart threshold (e.g. 1.5GB) - Code Layer Optimization: 1) avoid creating closures within useEffect; 2) use virtual scrolling for long lists; 3) use chunked rendering for AI reply streams
DevOps recommends 1) configuring Kubernetes for HPA auto-scaling, 2) adding Sentry memory alerts, and 3) performing Load Testing on a regular basis.
This answer comes from the articleZola: Open Source AI Chat Web App with Document Upload and Multi-Model SupportThe
May not be reproduced without permission:AI productivity tools " How to avoid memory leaks caused by Zola's chat log management feature?
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