Accelerated digital transformation, combined with the complexity of modern multicloud environments, is putting already stretched digital teams under too much pressure. This leaves little time for innovation, and limits teams’ ability to prioritize tasks that drive greater value and better outcomes for the business and its customers.
This has been one of the findings of a global survey of 700 CIOs, conducted by Vanson Bourne and commissioned by Software intelligence company Dynatrace.
According to the findings of the report titled “The 2020 global report “Observability, automation, and AI are essential to digital business success”, 89% of CIOs say digital transformation has accelerated in the last 12 months, and 58% predict it will continue to speed up.
While 86% of organizations are using cloud-native technologies, including microservices, containers, and Kubernetes, to accelerate innovation and achieve more successful business outcomes, what is of concern to them is that 63% of CIOs say the complexity of their cloud environment has surpassed human ability to manage. 70% of CIOs say their team is forced to spend too much time doing manual tasks that could be automated if only they had the means.
In fact, 44% of IT and cloud operations teams’ time is spent on manual, routine work just ‘keeping the lights on’, costing organizations an average of $4.8 million per year.
As a result, 56% of CIOs say they are almost never able to complete everything the business needs from IT.
Additional findings include:
Cloud-native migration accelerates innovation yet increases complexity.
• Organizations are using cloud-native technologies including microservices (70%), containers (70%) and Kubernetes (54%) to advance innovation and achieve more successful business outcomes.
• However, 74% of CIOs say the growing use of cloud-native technologies will lead to more manual effort and time spent ‘keeping the lights on’.
• More than two-thirds (69%) of CIOs call for a radically different approach to operations, as ‘the rise of Kubernetes’ increases complexity and makes IT environments too difficult to manage manually.
Traditional tools and manual effort cannot keep up.
• On average, organizations are using 10 monitoring solutions across their technology stacks. However, digital teams only have full observability into 11% of their application and infrastructure environments.
• 90% of CIOs say there are barriers preventing them from monitoring a greater proportion of their applications.
• The dynamic nature of today’s hybrid, multicloud ecosystems amplifies complexity. 61% of CIOs say their IT environment changes every minute or less, while nearly a third (32%) say their environment changes at least once every second.
CIOs call for radical change.
• Nearly three-quarters (74%) of CIOs say their organization will lose its competitive edge if IT is unable to spend less time ‘keeping the lights on’.
• 84% said the only effective way forward is to reduce the number of tools and amount of manual effort IT teams invest in monitoring and managing the cloud and user-experience.
• 72% said they cannot keep plugging monitoring tools together to maintain observability. Instead, they need a single platform covering all use cases and offering a consistent source of truth.
Observability, automation, and AI are key.
• 93% of CIOs said AI-assistance will be critical to IT’s ability to cope with increasing workloads and deliver maximum value to the business.
• CIOs expect automation in cloud and IT operations will reduce the amount of time spent ‘keeping the lights on’ by 38%, saving organizations $2 million per year, on average.
• Despite this advantage, just 19% of all repeatable operations processes for digital experience management and observability have been automated.
“History has shown successful organizations use disruptive moments to their advantage,” said Bernd Greifeneder, CTO and founder at Dynatrace.
“Now is the time to break silos, establish a true BizDevOps approach, and deliver agile processes across a consistent, continuous delivery stack. This is essential for effective and intelligent automation and, more importantly, to enable engineers to take more end-to-end responsibility for the outcomes and value they create for the business.”