According to research released today by software intelligence and monitoring vendor Dynatrace, only 26 percent of the alerts organizations receive from monitoring tools are actionable. This information comes from Dynatrace’s 2020 Top Challenges for CIOs on the Road to the AI-Driven Autonomous Cloud report, which surveyed 800 global CIOs and, according to Dynatrace, “highlights a widening gap between IT resources and the demands of managing the increasing scale and complexity of enterprise cloud ecosystems.”
The report reveals that current monitoring systems aren’t equipped to handle the amount of data generated by apps running in enterprise cloud environments. As a result, CIOs and IT professionals are drowning in useless notifications that prevent them from seeing and dealing with important events. According to Dynatrace’s findings, monitoring and management solutions produced 19 percent more alerts in the last 12 months than in the prior 12 month period. 70 percent of organizations responded that they were struggling to cope with the number of alerts they had received from those tools, and 75 percent of companies said that most of the alerts they received were irrelevant.
Dynatrace declared that one of the reasons behind this problem is that monitoring tools only supply data on a limited number of components from a technology stack. Respondents noted that on average, 15 percent of their time was spent sifting through alerts to determine which ones were actionable. 70 percent of IT teams stated that they experienced problems that could have been prevented thanks to their alerts. Dynatrace highlighted that several companies want to move towards an automated and AI-driven cloud, but 79 percent of organizations say that monitoring alerts make it difficult to automate enterprise cloud operations.
“Several years ago, we saw that the scale and complexity of enterprise cloud environments was set to soar beyond the capabilities of today’s IT and cloud operations teams,” said Bernd Greifeneder, Dynatrace’s CTO and founder. “We realized traditional monitoring tools and approaches wouldn’t come close to understanding the volume, velocity and variety of alerts that are generated today, which is why we reinvented our platform to be unlike any other.”
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