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2025-01-16 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Servers >
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Today, the editor will share with you what are the relevant knowledge points about server scalability. The content is detailed and the logic is clear. I believe most people still know too much about this knowledge, so share this article for your reference. I hope you can get something after reading this article, let's take a look at it.
Scalability measure dimension Dimensions
Load Extensible Load Scalability
Functional scalability Functionality Scalability
Integrated extensible Integration Scalability
Regional scalability Geographic Scalability
Challenges at the software level of scalability
Bottlenecks in hardware or software systems
Wrong caching strategy
Wrong method of information aggregation
Scalability of each module of the application
Lack of real-world testing
Scalability hardware and process convenience challenges
Unreasonable infrastructure planning
The load sharing policy is unreasonable, usually referring to the load balancing of each layer.
Scalability process management is unreasonable
Scalability mode
Distributed computing
Parallel computing (publish / subscribe mode, message connection mode, asynchronous execution)
Event-driven architecture (including events, messages, asynchronous communication. Mainly used for decoupling)
Data push-pull mode
SOA, service-oriented architecture (stateless, reusable, granular, loosely coupled)
Work task distribution (load balancing, intelligent task scheduling)
Database extensible mode (sharding, caching, NoSQL, distributed configuration, replication, data mirroring)
Enterprise Portal Mode (content aggregation)
Message mode
The principle is to optimize load distribution, asynchronous invocation, parallel computing, and low coupling.
Best practic
Stateless session
Lightweight design
Load data on demand
Resource pooling
Use proxy
Optimized application integration (SOA, asynchronous integration, lightweight on-demand data transfer)
Scalability of the design
Optimize latency and throughput
Runtime application analysis (CPU, memory, GC, response time)
Avoid blocking waiting
Rules engine-based business logic.
These are all the contents of this article entitled "what are the knowledge points of server extensibility?" Thank you for reading! I believe you will gain a lot after reading this article. The editor will update different knowledge for you every day. If you want to learn more knowledge, please pay attention to the industry information channel.
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