How i built a Real-Time Anomaly Detection Engine for Cloud Storage
The article describes the development of a real-time anomaly detection engine for a Nextcloud instance as part of a DevSecOps task. The system uses a sliding window approach in Python to monitor traffic and detect abnormal request patterns such as potential DDoS attacks. It emphasizes automation, real-time analysis, and the integration of development, security, and operations practices.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3903602) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Chinonso Vivian Ojeri Posted on Apr 29 How i built a Real-Time Anomaly Detection Engine for Cloud Storage #devops #monitoring #python #security As part of my HNG DevSecOps task, I built a real-time anomaly detection engine to protect a Nextcloud instance from unusual traffic spikes and potential DDoS attacks. The goal was simple: monitor incoming traffic in real time, detect suspicious behavior automatically, and respond immediately before the server becomes overwhelmed.
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