Use AIOps to find answers to the question of ‘what can I automate?’
David Arrowsmith • May 29, 2020
Based on our interactions with buyers evaluating vendors in the AIOps market, much of what we’re hearing chimes with this quote -
“What will AI allow us to automate? We'll be able to automate everything that we can describe. The problem is: it's not clear what we can describe.”
Stephen Wolfram, computer scientist and physicist https://lexfridman.com/stephen-wolfram/
The capability of vendors to take any system with a digital pulse, slurp data from it and do something with that data (be it alerts, events or metrics based) is all well and good.
The key is not to get stuck ‘down in the weeds’, unable to visualize
that crucial linkage between the state of the components and the health of the business services that the nuts and bolts ultimately support. Being able to understand infrastructure component health in a business context can in turn help to describe and pinpoint where automation can be applied, thus tackling Stephen’s aforementioned conundrum.
We’ve heard of several AIOps vendors tying themselves in knots deploying elaborate algorithms down at the event level, often using black box, patented tech – much to the frustration of customers!
Without the benefit of the comprehensive, data-driven service modelling and event enrichment capabilities, you’re faced with one big capabilities gap. Working with large enterprises over the years we’ve arrived at a point where we’re aligned to the actual business needs of the organizations we work with.
Our service-centric approach and the service models that are born from it are primarily focussed on service availability. A typical Interlink deployment results in dramatically reduced volumes of auto-created incidents, combined with the grouping of events around service models.
We use a balanced scorecard approach to apply weightings to different monitoring perspectives, some event-driven, and some metric-driven. Interlink gives customers the flexibility to define monitoring perspectives and weightings.
This puts customers in a strong position to identify (based on business context) automation opportunities that will yield most value – supporting faster root cause analysis, avoidance of SLA breaches for example.
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