What to do with the database and load balancer when experiencing performance issues?
sobes.tech AI
Answer from AI
When experiencing database performance issues and load balancer problems, consider the following steps:
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Optimize database queries and indexes — check slow queries, add necessary indexes, use query profiling.
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Vertical scaling of the database — increase server resources (CPU, RAM, SSD).
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Horizontal scaling — use replication (read replicas) to distribute read load.
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Caching — implement caching for frequently requested data (Redis, Memcached).
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Optimize load balancer configuration — check load balancing algorithms (round robin, least connections), timeouts, health checks.
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Add additional instances — increase the number of backend servers behind the load balancer.
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Use CDN — if static content exists, offload it from the backend.
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Monitoring and alerting — set up metrics for timely detection of bottlenecks.
Example: if the database is overloaded with reads, add read replicas and configure the load balancer to distribute read requests among them, while write requests go to the primary server.