In my previous blog I talked about why clean data matters and why we must ensure we have clean data. Clean data is a critical prerequisite before we can jump into using any tool, as any bad data can mean false positives or numerous red herrings that manifest as retransmission, packet drops, sequence gaps, and more.
So, by now you’ve ensured the data is clean. Now you can use your analytics to help enrich your understanding of what is actually going on in your business. In my time at Corvil I have learned to see the power of our tool as more than just “analytics", but more as an analytic engine. It is no simple undertaking to parse rich machine data across your infrastructure, in real-time, and present it to the business in a way that makes sense.
Many vendors in this space claim they can do the same thing. At Corvil, we do it differently. The key to this approach is decidedly not technical: we work, and always have worked with both business and technology teams. We learn and understand the business objectives, and work with IT teams to help instrument the right tools at the right locations. The data is then presented in a meaningful dashboard for the business, and becomes an indispensable tool in execution and decision-making.
I’ve seen this unique approach applied to different lines of business and successfully help each business improve its trading strategies. In connecting with business members, we understand their business requirements: are they concerned about looking for fill rates or transaction rejects? By understanding what metrics are critical, Corvil can helps businesses tweak and adjust their algorithms. Then, we connect with the IT members and apply the proper instrumentation in order to deliver this value back to the business team. Corvil’s two-pronged approach in liaising with both the business and IT teams drives this unique impact.
Also of great value, Corvil streaming analytics is an essential and critical part of our tool. With Corvil Connectors, we can take data to the next level and stream network data directly into various big data platforms including Splunk, Elastic, Hadoop, and more. The real value soon becomes apparent because of the shortcoming of big data platforms, which need to receive pure and rich data. Big data platforms usually get it from event logs or SNMP traps, but Corvil data is directly from the wire, so nothing is skewed or modified.
All of this is built on a foundation of clean data: so don’t forget to ensure the taps or span sessions are sanitized!