FEATURE : CLOUD productivity and opportunity , reflected in lost revenue due to late innovation .
• More than half ( 56 %) of IT leaders believe in replacing traditional infrastructure monitoring with a platform that ensures end-to-end observability across multi-cloud environments .
“ Infrastructure teams need AI-powered solutions that automate as much of their manual and routine tasks as possible ,” continued Greifeneder .
“ With automation , discoveries and instrumentation , teams can reduce manual effort while maintaining end-to-end observability across their hybrid multicloud environments .
“ However , observability alone is not enough . They also need access to accurate answers that help them optimize their environments effectively and efficiently . Due to their heavy reliance on manual labor , traditional approaches just can ’ t proceed .
“ Organizations need a smarter look , combining AI with end-to-end automation and observability , to free up time for teams to focus on accelerating innovation and optimizing user experiences .”
The report relies on a global survey of 1,300 CIOs and senior IT professionals involved in infrastructure management at large companies with more than 1,000 employees , conducted by Coleman Parkes and commissioned by Dynatrace . The sample included 200 respondents from the US , 100 from Latin America , 600 from Europe , 250 from the Asia Pacific , and 150 from the Middle East . p
WITH AUTOMATION , DISCOVERIES AND INSTRUMENTATION , TEAMS CAN REDUCE
MANUAL EFFORT WHILE MAINTAINING END-TO-END
OBSERVABILITY ACROSS THEIR HYBRID MULTI-
CLOUD ENVIRONMENTS .
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