Found a total of 10000 related content
MongoDB vs. Oracle: Examining Performance and Scalability
Article Introduction：MongoDB performs excellent in performance and scalability, suitable for high scalability and flexibility requirements; Oracle performs excellent in requiring strict transaction control and complex queries. 1.MongoDB achieves high scalability through sharding technology, suitable for large-scale data and high concurrency scenarios. 2. Oracle relies on optimizers and parallel processing to improve performance, suitable for structured data and transaction control needs.
2025-04-17
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436
Boosting WebSocket Scalability through a Python Proxy
Article Introduction：The WebSocket protocol revolutionized real-time communications over the Internet, simplifying two-way conversations between clients and servers. Although WebSocket uses the HTTP protocol and connection upgrades to establish a persistent channel, scalability issues can quickly arise as applications grow rapidly. This article reveals how to manage traffic more efficiently using a simple Python-based WebSocket proxy server, ensuring superior performance and scalability. Scalability Issues in WebSocket Applications A large number of concurrent connections is often a barrier between most WebSocket applications and practical use. A single server can quickly be overwhelmed by client load, causing performance bottlenecks. WebSocket proxy is
2025-01-10
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953
MySQL and Oracle: Exploring Performance and Scalability
Article Introduction：The difference between MySQL and Oracle in performance and scalability is: 1. MySQL performs better on small to medium-sized data sets, suitable for fast scaling and efficient reading and writing; 2. Oracle has more advantages in handling large data sets and complex queries, suitable for high availability and complex business logic. MySQL extends through master-slave replication and sharding technologies, while Oracle achieves high availability and scalability through RAC.
2025-04-29
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870
NGINX's Key Features: Performance, Scalability, and Security
Article Introduction：NGINX improves performance through its event-driven architecture and asynchronous processing capabilities, enhances scalability through modular design and flexible configuration, and improves security through SSL/TLS encryption and request rate limiting.
2025-04-13
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882
How do you handle scalability challenges in Python applications?
Article Introduction：The article discusses strategies for handling scalability challenges in Python applications, including code optimization, caching, database optimization, load balancing, asynchronous programming, horizontal scaling, and microservices architecture.
2025-03-31
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724
Golang vs. Python: Performance and Scalability
Article Introduction：Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.
2025-04-19
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539
Oracle Real Application Clusters (RAC): Scalability & High Availability
Article Introduction：OracleRAC achieves high availability and scalability through multi-node shared database storage. Its working principle includes load balancing, failover and dynamic node expansion to ensure efficient operation of the system and data consistency.
2025-04-09
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504
Why WordPress Scalability Starts with Smart Site Structure
Article Introduction：Scalability is a fundamental issue for any developer using WordPress. As a website expands, its performance, usability, and architecture can all face challenges. If the site wasn't constructed with growth in mind, issues will soon arise: slow loading
2025-05-27
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680
Vue.js vs. React: Scalability and Maintainability
Article Introduction：Vue.js and React each have their own advantages in scalability and maintainability. 1) Vue.js is easy to use and is suitable for small projects. The Composition API improves the maintainability of large projects. 2) React is suitable for large and complex projects, with Hooks and virtual DOM improving performance and maintainability, but the learning curve is steeper.
2025-05-10
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1094
Redis: Improving Application Performance and Scalability
Article Introduction：Redis improves application performance and scalability by caching data, implementing distributed locking and data persistence. 1) Cache data: Use Redis to cache frequently accessed data to improve data access speed. 2) Distributed lock: Use Redis to implement distributed locks to ensure the security of operation in a distributed environment. 3) Data persistence: Ensure data security through RDB and AOF mechanisms to prevent data loss.
2025-04-17
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460
