Dynatrace, has now published the results of an independent global survey of 1,300 CIOs and senior IT experts in the field of infrastructure management. The study "The move to multicloud environments has broken traditional approaches to infrastructure monitoring" from 2022
highlights the challenges in terms of agility and scalability for companies that are increasingly using multi-cloud architectures. This is because multi-cloud strategies have led to an increase in complexity: When monitoring and managing constantly changing environments, infrastructure teams often receive too much data. As a result, they spend a lot of time on routine manual tasks - time that is not available to accelerate innovation.

The most important results for Germany:

• 100% of German companies have a multi-cloud environment and use an average of six different platforms each. These include Amazon Web Services (62%), Microsoft Azure (38%), Google Cloud (23%) and IBM Red Hat (11%).
• Companies use an average of eight different infrastructure monitoring solutions to manage multi-cloud environments. 55% say this makes it difficult to optimize infrastructure performance and resource consumption.
• According to 83% of IT leaders, the use of Kubernetes has made their infrastructure more dynamic and difficult to manage.
• 48% of IT leaders believe that traditional infrastructure monitoring solutions are no longer suitable for multi-clouds and Kubernetes.

"Multi-cloud strategies are critical to keep up with the rapid pace of digital transformation - but teams are struggling to manage the complexity that these environments bring," says Bernd Greifeneder, adding: "Dependencies are increasing exponentially, driven by faster deployment frequency and cloud-native architectures that lead to constant change. Open source technologies complicate this by providing teams with even more data. To make matters worse, each cloud service or platform has its own monitoring solution. For a complete picture, teams need to manually extract insights from each solution and merge them with data from other dashboards. Companies should support their teams in reducing the time spent on manual tasks. Then they can refocus on strategic tasks that deliver new, high-quality services for customers."

Further results of the study for Germany:

• 56% of IT leaders say that blind spots in observability in their multi-cloud environments lead to a greater risk for digital transformation. This is because the teams do not have an easy way to monitor the infrastructure consistently.
• 55% of IT leaders state that infrastructure management is tying up more and more resources with the increasing use of cloud services. As a result, their teams are forced to switch between different solutions and dashboards to gain insights.
• IT teams waste almost half (42.5%) of their time on routine manual tasks to keep systems up and running. This leads to a significant loss of productivity and missed revenue opportunities due to delayed innovation.
• More than half (60%) of IT leaders believe that traditional approaches to infrastructure monitoring need to be replaced with a platform that enables end-to-end observability across multi-cloud environments.

"Infrastructure teams need AI-driven solutions that automate as many routine manual tasks as possible," Greifeneder continues. "With automated, continuous discovery and instrumentation, teams can reduce manual effort while maintaining end-to-end observability in their hybrid multi-cloud environments. However, observability alone is not enough. You also need access to accurate answers that help teams optimize their environments effectively and efficiently. Traditional approaches cannot keep up here as they rely heavily on manual processes. Companies need a smarter approach that combines AI, automation and end-to-end observability. This gives teams more time to focus on accelerating innovation and optimizing usability."

The study is based on a global survey of 1,300 CIOs and senior IT professionals responsible for infrastructure management in large organizations with more than 1,000 employees. It was conducted by Coleman Parkes and commissioned by Dynatrace. The sample includes 600 respondents in Europe, 250 in Asia Pacific, 200 in the US, 150 in the Middle East and 100 in Latin America.