Nearly three-quarters of the more than 1,300 CIOs surveyed say the explosion of data produced by cloud-native infrastructures is beyond human ability to manage.
THE Dynatrace, an expert in Software Intelligence, announces the results of its latest independent global survey of 1,303 directors and leaders in Cloud and IT in large organizations. Findings show that as the shift towards cloud-native architectures accelerates, the data generated by these environments outstrips the ability of current solutions to produce meaningful analytics. You CIOs noted that their teams rely on many different data monitoring and analytics solutions to maintain observability and security, making it difficult to quickly extract answers and drive digital transformation. The report “Taming the Data Explosion and Overcoming the Complexity of the Cloud”, featuring Dynatrace's global research with CIOs, it is available here (in English).
The research reveals the following:
– 71% of CIOs claim that the explosion of data produced by cloud-native technology stacks is beyond human ability to manage.
– More than three quarters (77%) of CIOs say their IT environment changes once every minute or so.
- You CIOs highlight that their teams use an average of 10 monitoring tools in their technology infrastructures, but have observability in only 9% of their environment.
– 59% of CIOs assess that without a more automated approach to IT operations, their teams can be overwhelmed by the increasing complexity of their cloud infrastructure.
– 64% of CIOs say it has become more difficult to attract and retain IT operations and IT professionals. DevOps skilled enough to manage and maintain your Cloud-native applications.
Bernd Greifeneder
“Architectures multicloud and Cloud-native are critical to helping organizations achieve their digital transformation goals,” says Bernd Greifeneder, Founder CTO of Dynatrace. “While organizations benefit from the flexibility and scale these technologies bring, the explosion of observability and security data they produce is increasingly difficult to manage and analyze. Existing tools – and there may be dozens of them – keep data in silos, making it difficult and expensive to unlock insights when organizations need them. As a result, they strive to achieve the highest standards of security and performance in their digital services.”
Additional research findings include:
– 45% of CIOs say it is too expensive to manage the large volume of observability and security data using existing analytics solutions, therefore keeping only what is most critical.
– On average, organizations capture only 10% of observability data for queries and analysis.
– Nearly two-thirds (63%) of leaders say the costs and delays caused by re-indexing and rehydrating make it difficult to unlock value from the growing amount of data they capture.
– 43% of CIOs say that current approaches to ingesting and storing observability data will not meet their future needs.
– 93% of directors and managers say that AIOps and automation are increasingly vital to alleviating the shortage of skilled IT, development and security professionals and reducing the risk of teams being overwhelmed by the complexity of modern cloud and development environments.
“Amidst a sea of data, individual records are much more valuable when they retain context, which is why teams put so much effort into trying to correlate different streams,” adds Greifeneder. “But today's manual approaches are very reactive and slow, and they miss the most important insights. Teams urgently need a new approach to analyzing and managing observability and security data. Artificial intelligence and automation must underpin this approach and must be able to unify all data and keep its relationships and dependencies intact. This will allow organizations to maximize the value of their data and people, reducing time spent on mundane manual tasks and enabling faster, safer innovation.”
The report is based on a global survey of 1,303 CIOs and senior IT professionals involved in managing Cloud and IT operations in large companies with 1,000+ employees, conducted by Coleman parkes and commissioned by Dynatrace. The sample included 200 respondents in the United States, 100 in Latin America, 603 in Europe, 150 in the Middle East, and 250 in the Asia-Pacific region.
