Description: Anomaly detection in cloud computing refers to the identification of unusual patterns in the use of cloud services. This process is crucial for ensuring the security and optimal performance of applications and data stored in the cloud. As organizations increasingly adopt cloud solutions, the amount of data generated and processed has exponentially increased, making anomaly detection a complex yet essential task. Anomalies can manifest in various forms, such as unexpected spikes in resource usage, unauthorized access, or unusual application behaviors. To address these challenges, advanced data analysis and machine learning techniques are employed, allowing systems to learn from normal usage patterns and detect deviations that may indicate security or performance issues. Anomaly detection not only helps prevent cyberattacks but also optimizes resource usage, enhances user experience, and reduces operational costs. In a cloud environment, where scalability and flexibility are paramount, having an effective anomaly detection system is vital for maintaining the integrity and availability of the services offered.
