@ProgressiveCod2: Amazon found that every 100 mi...
@ProgressiveCod2
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Apr 21, 2026
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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
===
That's all for now!
If you enjoyed this post:
- Destroy the LIKE button
- REPOST to spread the word
- BOOKMARK to revisit the post whenever needed
- Follow me for more posts like this.
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
===
That's all for now!
If you enjoyed this post:
- Destroy the LIKE button
- REPOST to spread the word
- BOOKMARK to revisit the post whenever needed
- Follow me for more posts like this.
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