A common sentiment among our prospects after they see our demo for the first time is: “That’s it? It can’t be that simple!”. The truth is – yes it can be, and it should be. ML and AI should make IT Ops simpler, and a big part of that is usability. If your ML & AI powered IT Ops tools take months to set up and weeks to learn, and then don’t provide a substantially improved user experience, you’re obviously using the wrong tools.
We’re proud to launch BigPanda’s Future of Monitoring, IT Operations and AIOps survey – a comprehensive, in-depth look at the current state of monitoring and IT Operations, and where the industry is headed.
If you’re part of an IT Ops or NOC team, or if you manage one, you know that overwhelming IT noise is your #1 enemy. Not only does it flood your teams with false-positives, but it also buries critical root-cause events and it makes it hard to proactively detect expensive P1 and P0 outages.
As a Product Manager at BigPanda, I like to stay in touch with our customers on a regular basis. Recently, I visited a customer of ours in Atlanta. As I was getting got out of my rental car in the company’s parking lot, I noticed him pulling in into his small parking space in a very large pickup truck. “Those are some big wheels”, I commented.
It’s always great to get a shout-out from a customer, so I was thrilled to read a post on “Medium” written by our friends at Workday that talks about BigPanda! In the post, Owen Sullivan, Software Development Manager at Workday, discusses how Workday raised their availability SLA from an already industry-leading 99.5% to 99.7%, and how one of the key drivers they see for delivering on this promise is efficient monitoring.
