FEATURE : OBSERVABILITY

Observability is the ability to provide insights , automated analytics and actionable intelligence through the application of cross-domain data correlation , ML and AIOps across massive real-time and historical metrics , logs and trace data . Sascha Giese , Global Technical Evangelist , SolarWinds explains what is needed to progress further , as well as the role AI can play in managing such processes .

Over the last two years , observability has gone from nascent tech to mainstream . How have your conversations with end customers about their understanding and need for observability evolved during this time ?

Observability is basically just an evolution of what we used to call monitoring , but the requirements of the business have changed a lot . In the past , IT supported the business , but nowadays , technology runs the business . You can ’ t imagine a business without IT and with that , the requirements obviously changed . Modern solutions are required for modern technologies because there is more complexity in today ’ s modern IT environments .

In your opinion , is the CIO still required to be the primary champion of adopting observability or is this a technology now understood in the boardroom ?

There ’ s a bigger problem which isn ’ t just limited to observability . CIOs fight for a bigger slice of the pie when it comes to budget and for most members of the boardroom , technology is difficult to understand . Often , taking a boardroom to a manufacturing plant and explaining the production process and product belt may seem like a more straightforward task .

As a result , CIOs sometimes fail to show the value that their department brings to the business , however , they

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