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Evolution of Log Analysis Architectures
Open Source For You
|August 2024
Going down memory lane, it's easy to see how changing needs have helped evolve log analysers since the mid-2000s. What worked then, will not work today. But the journey is to be cherished.
It was the late nineties, and I had about 3-4 years of development experience by then. I had just transitioned from the GSM field to the world of network management systems (NMS) after joining a multinational company in Bengaluru. Although my master’s degree was in computer networks, NMS was entirely new to me. I was familiar with hubs, routers, switches, IP addresses, RFCs, and protocols, but only in theory. This was the first time I had hands-on experience with NMS.
From a technological standpoint, I was quite proficient. I coded in C++ and worked on HP-UX, a variant of UNIX. I had experience with large-scale, mission-critical systems. In a way, I was filled with youthful confidence when I began working with NMS.
In my new role, I was assigned the task of enhancing a log analysis tool as part of a larger NMS. NMS are structured around the FCAPS model, which stands for fault management, configuration management, accounting, performance, and security. This model is defined by ISO. The log analysis tool our team was developing fell under the fault management category. Figure 1 captures the arrangement.
The requirement was straightforward: the log analysis tool needed to gather system logs from all devices across the network, store them in a database, analyse them, and take necessary actions. This NMS was intended for use by large service providers. In the US market, the adoption of GSM mobile phones was slower compared to VoIP (Voice over IP). While mobile telephony was just beginning in India, offices were transitioning from PSTN technology to VoIP, and VoIP phones were becoming commonplace on every employee’s desk. Each time a call was made or received, or a VoIP phone was powered on or off, a system log was generated. Our log analysis tool needed to collect and analyse all these logs.
Diese Geschichte stammt aus der August 2024-Ausgabe von Open Source For You.
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