๐. ๐๐๐๐ก๐ข๐ง๐
Temporarily storing frequently accessed data in memory to reduce access time.
How It Helps:
Data Retrieval: Fetching data from a cache (e.g., Redis, Memcached) is significantly faster than querying a database.
Content Delivery: Caching static assets (like images, CSS, JS) reduces the need to retrieve them from the origin server repeatedly.
๐. ๐๐จ๐๐ ๐๐๐ฅ๐๐ง๐๐ข๐ง๐
Distributing incoming network traffic across multiple servers to ensure no single server becomes a bottleneck.
How It Helps:
Resource Utilization: Balances the load to prevent any single server from becoming overwhelmed, which can slow down response times.
Redundancy: Provides failover capabilities, ensuring requests are handled promptly even if some servers are down.
๐. ๐๐ฌ๐ฒ๐ง๐๐ก๐ซ๐จ๐ง๐จ๐ฎ๐ฌ ๐๐ซ๐จ๐๐๐ฌ๐ฌ๐ข๐ง๐
Handling tasks in the background without blocking the main execution thread, allowing the system to continue processing other requests.
How It Helps:
Non-blocking Operations: Users don’t have to wait for long-running tasks (like sending emails or processing images) to complete.
๐. ๐๐๐ญ๐ ๐๐๐ซ๐ญ๐ข๐ญ๐ข๐จ๐ง๐ข๐ง๐ (๐๐ก๐๐ซ๐๐ข๐ง๐ )
Dividing a database into smaller, more manageable pieces (shards) that can be distributed across multiple servers.
How It Helps:
Parallelism: Queries can be executed in parallel across shards, reducing the time to retrieve data.
Scalability: Distributes the load, preventing any single database instance from becoming a bottleneck.
๐. ๐๐จ๐ง๐ญ๐๐ง๐ญ ๐๐๐ฅ๐ข๐ฏ๐๐ซ๐ฒ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ (๐๐๐๐ฌ)
Distributed networks of servers that deliver web content based on the geographic location of the user.
How It Helps:
Proximity: Serves content from servers closest to the user, reducing the physical distance data must travel.
Caching: Caches static and dynamic content to speed up delivery.
๐. ๐๐๐ญ๐๐๐๐ฌ๐ ๐๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐๐ญ๐ข๐จ๐ง
Tuning databases to perform queries more efficiently through indexing, query optimization, and proper schema design.
How It Helps:
Indexing: Speeds up data retrieval by allowing the database to find records without scanning entire tables.
๐. ๐๐ข๐ง๐ข๐ฆ๐ข๐ณ๐ข๐ง๐ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค ๐๐จ๐ฉ๐ฌ
Reducing the number of intermediary steps data must pass through and choosing efficient communication protocols.
How It Helps:
Fewer Hops: Each network hop introduces additional latency; minimizing them speeds up data transmission.
๐. ๐๐ซ๐๐๐๐ญ๐๐ก๐ข๐ง๐ ๐๐ง๐ ๐๐ซ๐๐๐ข๐๐ญ๐ข๐ฏ๐ ๐๐จ๐๐๐ข๐ง๐
Anticipating future data requests and loading them in advance.
How It Helps:
Reduced Wait Times: Data is already available when requested, eliminating retrieval delays.
Smoother User Experience: Especially effective in applications with predictable access patterns.