Dynatrace today announced its Autonomous Cloud Enablement (ACE) Practice to
accelerate DevOps' movement to autonomous cloud operations. ACE will
provide customers with the best practices, hands-on expertise, and
automation services they need to succeed on the journey to autonomous,
NoOps cloud operations. Initial practice focuses will be on both
unbreakable CI/CD pipelines as well as autonomous, self-healing
production operations for cloud native environments.
Research has
shown that IT organizations are struggling to keep up with the growing
demands of digital transformation, and 88% of CIOs say AI will be
critical to their ability to master increasing complexity in their
enterprise cloud environments. In line with this, more advanced IT teams
are looking to AI and automation to leverage their scarce resources and
move to an increasingly autonomous cloud where precise AI provided
actions enable the automation of manual tasks in areas such as
continuous delivery and cloud operations. However, even those who have
the right ideas often discover they need know-how and experience to
assure the right course and speed to reach their autonomous cloud
vision.
"As
a leading software provider, we must provide a continuous delivery
pipeline that will allow our teams to ship new versions of our software
faster and more frequently while maintaining our high standards of
quality," said Brit Myers, Senior Manager of Cloud R&D at Hyland
Software. "Dynatrace ACE provided the expertise, structured guidance,
resources and best practices to go from a strategic vision to
implementing an executable action plan. With tangible results now
realized, we are continuing to move forward with confidence on our
autonomous cloud journey."
The
ACE practice provides proven best practices and expert services
developed while advising dozens of leading IT enterprises over the past
18 months. ACE also leverages Dynatrace's open source pluggable control
plane, Keptn, to speed implementation and simplify the extensibility of integrations.
"Dynatrace
has been evangelizing and educating customers on how to envision and
execute their journey to an autonomous cloud for well over a year now,"
said Andrew Hittle, SVP and Chief Customer Officer at Dynatrace. "After
dozens of workshops and autonomous cloud labs (ACLs), it became clear
that customers needed more than blueprints and coaching. They needed
Dynatrace's hands-on expertise and practical know-how to accelerate very
specific steps to make the journey tangible and results measurable to
drive confidence and momentum in continued steps along the path. The
move to autonomous cloud operations is not simply one of technical
execution, it requires a transformation in DevOps thinking and
alignment. With the launch of Autonomous Cloud Enablement, Dynatrace
offers a proven transformational roadmap for customers to realize the
value of combining its AI-powered Software Intelligence Platform and the
automation and orchestration provided by Keptn to confidently achieve
an autonomous cloud vision."
The
ACE practice works with IT organizations to create an autonomous cloud
strategic vision, identify where to get started, provide hands-on
expertise along the journey, and deliver rapid, meaningful automation
services engagements to deliver unbreakable delivery pipelines and NoOps
cloud operations. The ACE practice includes:
- Business Case:
Build a clear business case, organizational consensus, and cultural
confidence around how the autonomous cloud frees constrained resources
and enables IT transformation from technology centricity to technology
empowered business strategies.
- Best Practices: Learn
best practices about autonomous cloud delivery methodology, use case
specific technology automation, workflow blueprints, and
transformational KPIs developed during dozens of engagements with
leading enterprise IT organizations.
- Expertise:
Leverage autonomous cloud expertise delivered through hands-on
engagements with certified ACE consultants to ensure measurable
automation and intelligence results.
- Automation Services: Focused
automation engagements engineered to provide measurable value centered
around the most important initial use cases across the autonomous cloud
lifecycle.