Mom and I have a running joke that concerns her mom, my Grandma Lawson. I remember Mom getting her first Teflon skillet, a Christmas present from my dad. Well, really what I remember is my grandmother’s comment about Mom getting her first Teflon skillet.
Mom was so proud, but Grandma Lawson had other opinions, “I don’t want no newfangled Teflon skillet,” she said.
Anything we don’t understand is a “newfangled Teflon skillet.” So, explaining TrueSight and AI to my mom is a little like trying to explain to my grandmother the benefits of a nonstick skillet. Mom’s background in performance and availability management (none) and AI (she’s seen a few movies but didn’t understand Blade Runner or Terminator) are a problem.
So, I asked her, “what would a brain in a box mean in helping with all your problems? Just a box that when you have a question, you simply ask.”
Rather than pouring through the noise, sifting through huge amounts of data, trying to find relevance, organizations could do the same thing leveraging TrueSight as their own “brain in a box.” TrueSight can analyze data and key metrics to find trends and anomalies. But more importantly, it can understand which are meaningful, relevant to your business, and deserve your attention.
TrueSight ingests infrastructure and machine events, network traffic metrics, business metrics or social media activity, any meaningful data event stream. These streams are presented as time series views. They are enhanced with machine learning and analytics that show leading, lagging or otherwise related indicators of all significant events.
By ingesting your data streams, TrueSight learns how your organization behaves. It can even ingest historical data from your legacy systems to better understand what is normal and what isn’t; what’s significant and what isn’t from day one. TrueSight can understand how Monday morning “loads up” your IT resources but then levels out later that day for the remainder of the week. TrueSight can understand how the final week of each month differs from the others, or how December is different from May. It can show how this August differs from last August. Understanding these “patterns” leads to fewer “false positive” event notifications. Immediate cost savings are realized by understanding and responding to only those events that warrant your attention.
TrueSight doesn’t just understand the past. It can provide baseline forecasts so that you can project the future for capacity, availability, technology migration or business planning. In this way, it truly becomes a “brain in a box.” You can understand what happened, is happening and what the future will look like.
So, could organizations arrive at the same insights, solve the same issues without machine learning and analytics? That’s a little like asking if I could cook scrambled eggs in a cast iron skillet like Grandma Lawson’s. In both cases, the answer is yes, but it will take considerable effort, experience and time to get there with questionable results.