FEATURE : OBSERVABILITY
Hence , it is very important to make sure that the technology stack you depend on works and that requires observability in the background . tasks , which in turn gives us humans more time to breathe and more importantly , allows us to drive innovation for the business .
For organisations that have legacy investments in traditional monitoring solutions , and that leverage native tools in cloud platforms , how can the migration to observability be made non-disruptive ?
The first question is probably around whether migration is possible . If you look at sectors like finance or healthcare , you might find yourself in a situation where you use or depend on a solution written in COBOL and running on an AS400 . Good luck migrating that to a cloud platform – that is next to impossible .
Looking ahead , what are your predictions for the future of observability and IT – how do you see SolarWinds evolving to meet these needs ?
I don ’ t have a crystal ball , but we can guess that the amount of smart automation will Sascha Giese , Global Technical Evangelist , SolarWinds
There are various reasons as to why these technical challenges exist and it ’ s important that an observability solution can deal with both ; the old and the new , because you might not be able to migrate everything . In general , we have a lot of customers who are using our tools before , during and after a migration phase .
Technology is of course one part of the observability equation and equally critical are human resources . How is this balance shifting with the advent of a greater degree of automation and AI in observability and IT management ?
AI frameworks in general are much needed across the whole tech stack . Today , we deal with so much data that we as humans can no longer understand it , and the time to process it takes a while . A machine , however , can do this a lot faster than us . increase in the future . We ’ re referring to AIOps , technology taking over simple tasks without human intervention .
At SolarWinds , we believe that AI should still be supervised . However , at some point , AI will have learnt so much and the more time goes on , the smarter it will be .
AI will also help the human decision-making process because it can access more data in a shorter time frame and offer suggestions which , as humans , we might need a week to comprehend .
Deploying something like AI comes with challenges , one being concern around job security . Any invention in the past two centuries changed the way we work , but still left us with work to do .
It ’ s also possible to imagine something being introduced to the business where we can speak to a voice assistant and ask how much of our product we sold in Michigan in the last quarter , for example .
AI is a tool like any other , but it allows us to have assistance and for us to outsource easy and repetitive
But , in order to make sure these things work , we need to keep up with observability . p
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