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What are the scalability knowledge points of the server?

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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