What algorithm does OutSystems use for performance optimization?

OutSystems employs various algorithms focused on caching, compression, and query optimization to achieve performance optimization. This approach allows the platform to effectively manage resources, improve application loading times, and enhance the overall user experience.

Caching algorithms help to store frequently accessed data in a way that allows for rapid retrieval, reducing the need to fetch data from slower storage or generate it anew. Compression algorithms minimize the size of the data transmitted over the network, which can lead to faster load times and reduced bandwidth usage. Additionally, query optimization algorithms enhance database interactions by optimizing the way data queries are executed, ensuring that applications are able to retrieve and manage data efficiently.

In contrast, encryption algorithms are more focused on data security rather than performance. Machine learning algorithms typically deal with predictive analytics, which is not directly tied to performance optimization in the context of the OutSystems platform. Standard algorithms for testing and debugging serve a different purpose, aimed at ensuring software quality rather than enhancing application performance.