Dynatrace: 99% of companies have a multicloud environment

Dynatrace, a software intelligence company, commissioned Coleman Parkes to conduct a global survey of 1,300 CIOs and professionals involved in IT infrastructure management: the sample included 200 respondents in the United States, 100 in Latin America, 600 in Europe, 250 in Asia-Pacific and 150 in the Middle East. The 2022 report, entitled “The shift to multicloud environments has broken traditional approaches to infrastructure monitoring”, analyzes the challenges enterprises face when choosing multicloud architectures to gain the agility and scalability needed to keep pace with digital transformation.

For 81% of companies, the use of Kubernetes has made their infrastructure more dynamic

Research has shown that the 99% of companies have a multicloud environment (with an average of 5 different platforms): concretely it is Amazon Web Services, Microsoft Azure, Google Cloud Platform, IBM Red Hat and other. When it comes to the monitoring phase, most companies rely on an average of 7 different solutions to keep the entire infrastructure under control, while 57% say it makes it difficult to optimize performance and resource consumption. 81% of enterprises say that using Kubernetes has made their infrastructure both more dynamic and difficult to manage, while 56% say traditional monitoring solutions are no longer suitable for a more cloud and Kubernetes environment.


Bernd GreifenederFounder and Chief Technology Officer of Dynatrace, said: “Multicloud strategies have become essential to keep up with the rapid acceleration of digital transformation, but teams are struggling to manage the complexity these environments bring. Dependencies are growing at an exponential rate, due to faster deployment frequency and cloud-native architectures that drive constant change. Open source technologies complicate things by adding even more data for teams to manage. To compound the problem, each cloud service or platform has its own monitoring solution. To create a complete picture, teams are forced to manually extract information from each solution and then connect it to data from other dashboards. Organizations need to find a way to help these teams reduce the time they spend on manual tasks and refocus on strategic work that delivers new, high-quality services to customers..

These are not the only critical points that emerge from the report: 61% of companies say teams are increasingly struggling monitor their infrastructure end-to-end, while 58% say infrastructure management involves increased resource consumption as the use of cloud services has increased and their staff is forced to move from a solution to another. Nearly half (42%) of IT teams’ time is wasted on manual work and routine for constant monitoring of their environment.

“Infrastructure management teams need AI-powered solutions that can automate as many routine manual tasks as possible”continued Greifeneder. “With automatic and continuous detection and instrumentation, teams can reduce manual effort while maintaining end-to-end observability in their hybrid multicloud 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 simply cannot keep up, due to their heavy reliance on manual labor. Organizations need a smarter approach, combining end-to-end AI, automation and observability, to free up teams’ time to focus on accelerating innovation and optimizing user experiences..