Availability
Availability refers to the likelihood of a user being able to access a specific system at any given moment. It can be quantified by calculating the percentage of successful requests or the percentage of time the system is operational during a specified period. For instance, users may have access to the system for 99% of the time in a month. Availability is a crucial business requirement, but it also necessitates estimating the reliability and maintainability of the system to define it. Employing Multi Cluster or Blue Green deployment ensures that the application is available at all times (Behera et al. 2022). In order to achieve high availability, a system must be designed with redundancy and fault tolerance. Various methods can be used to achieve this, including redundant hardware, software, and network connections; failover mechanisms can also be used. Automated testing and system monitoring can be used to measure availability. In order to identify areas for improvement, it is important to regularly monitor and measure availability (Behera,. 2023) (Behera et al. 2022).
A software system's availability is influenced by many factors, including its architecture, its scalability, and its ability to handle peak usage periods. Creating highly available software systems makes them more reliable, resilient, and valuable to their users. The availability of a software system affects its overall effectiveness and reliability. High-availability software systems are more likely to be adopted and used by their users, and to deliver the desired benefits and outcomes (Aviv, I. T. Z. H. A. K. et al. 2023)). High availability can improve the effectiveness, value, and effectiveness of software systems (Bass et al. 2003).