Machine Learning
Transforming Network Data into Predictive Insights with Machine Learning
In a world where network uptime and performance are crucial, proactively monitoring network health is only the first step. By tapping into the wealth of data gathered from SNMP (Simple Network Management Protocol) metrics and syslog messages, we can uncover valuable patterns and predict potential issues before they occur. This post explains how we leverage…
Optimizing SNMP Monitoring with Dynamic Alerts and Anomaly Detection
Part 4 of Our Network Monitoring Series In our previous posts, we set up a network monitoring system that uses SNMP to collect data, InfluxDB to store metrics, and Grafana to visualize them. Now that we have a baseline, it’s time to make our system smarter and more proactive. By implementing dynamic thresholds, simple anomaly…
Building Predictive Maintenance for IT Infrastructure Using Machine Learning
In today’s IT environments, unexpected downtime can lead to significant disruptions. Predictive maintenance allows us to anticipate failures before they happen, giving teams the chance to perform maintenance proactively. Leveraging data from infrastructure monitoring, we can create a predictive model that helps determine when components need attention. In this blog post, we’ll explore how to…
Optimizing Data Backup with A* Pathfinding: A Smarter Approach to VM Backup Management
In any data center environment, efficient data backup is essential. Managing backups for high volumes of data across virtual machines (VMs) comes with unique challenges, especially when multiple servers are involved. Our recent project took on these challenges by implementing a sophisticated A pathfinding algorithm* to determine the fastest, most efficient route for each backup.…
Enhancing Sports Journalism with NER Models for Tagging and Linking
In the fast-paced world of sports journalism, delivering detailed, relevant information quickly can set an article apart. To streamline this process, our sports editorial team has integrated a Named Entity Recognition (NER) model that not only identifies key tags in text but also, when necessary, inserts direct links to player or team profile pages. This…
