A design approach that allows systems to handle increasing loads by adding resources without sacrificing performance.

The capability of a system to process requests quickly and efficiently, minimizing latency and maximizing throughput.

The number of users accessing a web application simultaneously, crucial for evaluating performance under load.

The distribution of incoming network traffic across multiple servers to ensure no single server becomes a bottleneck.

Storing frequently accessed data in a temporary storage area to reduce access time and improve application performance.

A point in a system where the performance is limited, causing delays and reducing overall efficiency.

A caching technique that stores data in the main memory (RAM) for faster access compared to disk storage.

A caching strategy where data is stored across multiple servers to enhance scalability and reliability.

The process of simulating multiple users accessing an application to evaluate its performance under high traffic.

Tracking the performance and availability of an application in real-time to identify issues and optimize performance.

A mechanism that notifies developers or system administrators when performance metrics exceed predefined thresholds.

A tool used to evaluate and compare different technology options based on specific criteria relevant to performance needs.

Pre-built libraries and tools that facilitate the development of applications, impacting performance and scalability.

The combination of technologies used to build and run an application, including frameworks, databases, and servers.

The process of improving the efficiency of an application to enhance speed, responsiveness, and resource utilization.

The capability of analyzing data as it is generated to provide immediate insights into application performance.

The method of spreading user requests across multiple servers to optimize resource usage and minimize latency.

An in-depth examination of a particular high-traffic application to identify best practices and lessons learned.

A visual representation of the components and structure of a system, illustrating how they interact.

A visual tool that displays key performance metrics for an application, aiding in monitoring and decision-making.

Methods employed to determine what data to cache and how to manage cached data effectively.

Rules and methods used to determine how traffic is distributed across servers in a load-balanced environment.

A plan outlining the approach to testing an application, including types of tests and performance benchmarks.

The process of combining different components of an application to work together seamlessly.

Web applications designed to handle large volumes of users and data efficiently, often requiring advanced architecture.