Respondents to a HashiCorp-Forrester report said they were overspending in the cloud due to a combination of factors such as underused and overprovisioned resources, and lack of skills. Credit: Seagate Technology A vast majority of enterprises surveyed globally are overspending in the cloud, according to a new HashiCorp-Forrester report. In a survey that saw participation of over 1,000 IT decision makers across North America, Europe, Middle East and Asia-Pacific, 94% of respondents said their organizations had notable, avoidable cloud expenses due to a combination of factors including underused and overprovisioned resources, and lack of skills to utilize cloud infrastructure. Underused resources were among the top reasons for overspending, the report showed, with more than 66% of respondents listing it, followed by 59% and 47% of respondents claiming that overprovisioned resources and lack of needed skills, respectively, caused the wastage. Another 37% of respondents also listed manual containerization as a contributor to overspending in the cloud. Nearly 60% of respondents said they are already using multicloud infrastructures, with an additional 21% saying they will be moving to such an architecture within the next 12 months. The report showed that a majority of enterprises surveyed were already using multicloud infrastructures. Multicloud infrastructure works for most enterprises Further, the report said that 90% of respondents claimed a multicloud strategy is working for their enterprises. This contrasts with just 53% of respondents in last year’s survey claiming that such a strategy was working for them. Reliability was the major driver of multicloud adoption this year, with 46% of respondents citing it as the top reason for adopting the computing architecture. Digital transformation came in second place this year, cited by 43% of respondents as the main driver for the move to multicloud, slipping from first place last year. Other factors driving multicloud adoption this year included scalability, security and governance, and cost reduction. Almost 86% of respondents claimed they are dependent on cloud operations and strategy teams, which perform critical tasks such as standardizing cloud services, creating and sharing best practices and policies, and centralizing cloud security and compliance. Skill shortages were the top barrier to multicloud adoption, with 41% of respondents listing it as the top reason. Some of the other barriers listed by respondents included teams working in silos, compliance, risk management and lack of training. Additionally, almost 99% of respondents said that infrastructure automation is important for multicloud operations as it can provide benefits such as faster, reliable self-service IT infrastructure, better security, and better utilization of cloud resources, along with faster incident response. Eighty-nine percent of respondents said they see security as a key driver for multicloud success, with nearly 88% of respondents claiming they already relied on security automation tools. Another 83% of respondents said they already use some form of infrastructure as code and network infrastructure automation, according to the report. Related content news Epicor announces Grow portfolio to weave AI into ERP AI-supported BI and forecasting capabilities are ready now; Epicor will roll out others towards the end of the year. By Lynn Greiner May 21, 2024 4 mins Artificial Intelligence Enterprise Applications news AI is driving productivity and wage increases: Report In major labor markets, including the US, the UK, Canada, Australia, and Singapore, jobs requiring AI expertise are associated with a considerable wage premium. By Prasanth Aby Thomas May 21, 2024 3 mins Salaries IT Jobs Artificial Intelligence news IBM showcases Gen AI-driven Concert to monitor and manage enterprise applications Underpinned by the watsonx platform, IBM Concert will provide enterprises insights across applications to help reduce risk and compliance processes. By Anirban Ghoshal May 21, 2024 3 mins Generative AI IBM feature IT leaders look beyond LLMs for gen AI needs Not all enterprise use cases are best suited for large language models. New multimodal generative AI models and smaller models show promise for niche needs. By Paula Rooney May 21, 2024 9 mins Generative AI IT Strategy PODCASTS VIDEOS RESOURCES EVENTS SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe