Amazon found that every 100 milliseconds of latency cost them 1% in sales.

Google found an extra .5 seconds in search page generation time dropping the traffic by 20%.

These are staggering implications.

If there’s just one thing you can optimize your system for, I’d recommend trying to go for low-latency.

Therefore, I compiled a list of 8 must-know strategies for low latency that can literally save your business from disaster.

(don't forget to bookmark)

✅ Caching

- Use caching to store frequently accessed data
- The goal of caching is to minimize costly database lookups and heavy computations

✅ CDN

- Take caching further by using a CDN.
- CDNs can help cache content closer to the users
- This reduces latency.

✅ Pre-caching and Pre-rendering

- Use predictive techniques to pre-cache and pre-render pages
- Since the pages are already rendered, you can serve the incoming requests much faster

✅ Database Indexing

- Databases are a huge reason for high latency.
- Ensure databases are well-indexed so queries can run faster
- Also, optimize queries by analyzing and refactoring slow database queries

✅ Load Balancing

- Distribute incoming traffic evenly across multiple servers with load balancers
- This prevents any single server from becoming a bottleneck

✅ Async Processing

- Implement async processing wherever applicable for long-running tasks.
- This lets your system respond quickly to the user while performing further processing in the background.

✅ Compression

- Compress data before sending it over the network.
- This decreases transfer time and reduces the overall latency.

✅ Keep-Alive Connections

- Reuse TCP connections wherever possible.
- This helps avoid the overhead of re-establishing connections for new requests
- Also, maintain a pool of established connections

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