Corvil Incident Diagnosis

Has this solution reduced incident diagnosis time? If yes, by how many days, hours or minutes?

Senior Network Engineer at a financial services firm with 501-1,000 employees
Corvil has definitely helped reduce incident diagnosis time. Just the fact that it's so easy to pull out captures or the actual messages, whereas before that was probably the thing that would take us the longest, just getting the data. Before you can start looking at the data you actually have to get the data. Now, it's easy. We just say to the user, "Tell us the time XYZ happened." We can find it, we can zoom in on it, we can extract the messages. It happens a lot of when we're talking to third-parties about latency. They'll say to us "Oh, can you give us the quote ID using this and that?" As network guys, in the past, we would always struggle with that. We would end up having to go to the application guys and they would all say, "What are you talking about?" Now, we can pull that stuff out really simply.
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EMEA Head of Electronic Trading App Management at a financial services firm with 10,001+ employees
Broadly speaking, this solution has reduced incident diagnosis times because it is a tool that we don't have elsewhere. Sometimes, we use it to breakdown issues.
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Network Operations at a financial services firm with 1,001-5,000 employees
Corvil reduces incident diagnosis time. Market data feed going down triggers a traffic detection gap, which will send an alert to our SNMP destination. Without Corvil, it would take 20 to 30 minutes, and with Corvil, it takes a minute. We have incidences pretty often, so this is saving us about two hours a week.
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User with 10,001+ employees
As I am working more with Corvil, it looks like it is improving diagnostic times.
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Ralph Muro
Performance Engineer at a financial services firm with 1,001-5,000 employees
If there is something that is happening right now, it gives us immediate awareness of what is going on. Previously, we would either have to have an operations team extract logs or dig through logs and then do manual correlations to figure out what was going on, or wait until the end of the day to get those logs.
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