INTELLIGENT BRANDS // Cloud
CIO survey results show taming
cloud complexity has grown
beyond human abilities
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D
ynatrace, a leading software
intelligence company, has
announced the findings of an
independent global survey of 800 CIOs,
which highlights a widening gap between
IT resources and the demands of managing
the increasing scale and complexity of
enterprise cloud ecosystems. IT leaders
around the world are concerned about their
ability to support the business effectively,
as traditional monitoring solutions and
custom-built approaches drown their teams
in data and alerts that offer more questions
than answers. The 2020 global report, Top
Challenges for CIOs on the Road to the
AI-driven Autonomous Cloud, explains the
difficulties CIOs are facing.
CIO responses in the research indicate
that, on average, IT and cloud operations
teams receive nearly 3,000 alerts from their
monitoring and management tools each
day. With such a high volume of alerts, the
average IT team spends 15% of its total
available time trying to identify which
alerts need to be focused on and which
are irrelevant. This costs organisations an
average of US$1.5 million in overhead
expense each year. As a result, CIOs are
increasingly looking to AI and automation
as they seek to maintain control and close
the gap between constrained IT resources
and the rising scale and complexity of the
enterprise cloud. Findings from the
report include:
result, they bombard IT and cloud operations
teams with hundreds, if not thousands, of
alerts every day. IT is drowning in data as
incremental improvements to monitoring
tools fail to make a difference.
• On average, IT and cloud operations
teams receive 2,973 alerts from their
monitoring and management tools each
day, a 19% increase in the last 12 months
• 70% of CIOs say their organisation is
struggling to cope with the number of alerts
from monitoring and management tools
• 75% of organisations say most of the
alerts from monitoring and management
tools are irrelevant
• On average, just 26% of the alerts
organisations received each day
require actioning
Existing systems provide more
questions than answers
Traditional monitoring tools only provide
data on a narrow selection of components
from the technology stack. This forces IT
teams to manually integrate and correlate
alerts to filter out duplicates and false
positives before manually identifying the
underlying root cause of issues. As a result,
IT teams’ ability to support the business and
customers are greatly reduced as they’re
faced with more questions than answers.
• On average, IT teams spend 15% of their
time trying to identify which alerts they
need to focus on, and which are irrelevant
• The time IT teams spend trying to
identify which alerts need to be focused
on and which are irrelevant costs
organisations, on average, US$1,530,000
each year
• The excessive volume of alerts causes
70% of IT teams to experience problems
that should have been prevented
Precise, explainable AI provides relief
Organisations need an answers-based
approach to monitoring to keep up with the
transformation that’s taken place in their IT
environments, and an approach with AI and
automation at the core.
The report is based on a global survey of
800 CIOs in large enterprises with over 1,000
employees, conducted by Vanson Bourne
and commissioned by Dynatrace. n
IT is drowning in data
Traditional monitoring tools were not
designed to handle the volume, velocity and
variety of data generated by applications
running in dynamic, web-scale enterprise
clouds. These tools are often siloed and lack
the broader context of events taking place
across the entire technology stack. As a
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