Analyze large scale network logs to predict the failure
A well known network monitoring product development company required to build the product which can predict the failure in the computer networks based on the log analysis using big data tools.
The primary goal of the system was to collect all the logs at central location(server), parse the logs as per the RFCs and then index and analyze them for prediction as well as searching purpose.
Aggregate the logs at central server, parse them and extract information.
Index the Logs and save them using prominent Big Data tools.
Perform analytics of the logs and issue alerts and notifications if required.
There were multiple challenges while developing the solution like,
Developing highly available & scalable central server
Achieving second level latency for data analytics
Notifying in near-real time for failures
We followed an iterative phased approach to implement the solution that included the following phases:
Business requirements analysis.
Developed the product suit, tested and deployed.
We delivered a unified monitoring system to our client organization. Using the monitoring system network team was able to monitor the network and other devices as well as applications at one place.
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