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The State of CloudOps 2023

Only 33% of executives are "very confident" in their ability to operate in a public cloud environment, according to the 2023 State of CloudOps report from NetApp.

This represents an increase from 2022 when only 21% reported feeling very confident.


"Cloud operations is critical to realizing the benefits of cloud for infrastructure and applications," said Haiyan Song, EVP and GM, CloudOps at NetApp. "This research demonstrates that although organizations face challenges in their cloud operations, they also recognize the importance of investments in areas including automation and FinOps to overcome those challenges."

Key findings from the report include:

Cloud operations remain a struggle for IT teams

64% of IT decision makers continue to see security and compliance as the top cloud operations challenge, followed by cost management, which was cited as the top challenge by 60% of respondents.

The biggest areas of focus for improving cloud operations continue to be cost management and security, according to 66% of technology executives.

Automation is the key to success in cloud operations

The survey reveals that 82% of respondents believe that cloud automation is critical for optimizing cloud operations and ROI.

95% of respondents have already incorporated some automation in their cloud operations and 88% plan to increase cloud operations automation in 2023.

Enterprise teams are embracing FinOps

Despite a majority of tech executives (96%) agreeing that FinOps is important to their cloud strategy, only 9% have a mature FinOps practice. These numbers remain fairly consistent with findings from the 2022 survey.

The biggest FinOps challenges include reducing cloud costs (50%) and forecasting cloud spend (47%). Only 19% of respondents reported that they have been able to make the most of discounted cloud purchase options.

"Spot by NetApp's 2023 State of CloudOps report is interesting because it shows that cloud cost management is not just a standalone process, but one that is inextricably linked with resource management, compliance, and security", said Hyoun Park, Chief Analyst at Amalgam Insights. "One cannot simply look at cloud costs in a vacuum without advocating for holistic cloud management. As companies seek to manage cloud costs, the sheer volume and variety of cloud cost service components leads companies to automate as they fully optimize and rationalize cloud resources to match business needs."

Methodology: The 2023 State of CloudOps report, sponsored by Spot by NetApp and conducted by Dimensional Research, examines the current state of CloudOps for large enterprise teams, primarily focusing on operational activities, staffing and expertise, automation, and FinOps. This report is based on an online survey of 310 US-based IT decision makers in operations or applications roles who are responsible for public cloud infrastructure investments at companies with 500 or more employees.

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The State of CloudOps 2023

Only 33% of executives are "very confident" in their ability to operate in a public cloud environment, according to the 2023 State of CloudOps report from NetApp.

This represents an increase from 2022 when only 21% reported feeling very confident.


"Cloud operations is critical to realizing the benefits of cloud for infrastructure and applications," said Haiyan Song, EVP and GM, CloudOps at NetApp. "This research demonstrates that although organizations face challenges in their cloud operations, they also recognize the importance of investments in areas including automation and FinOps to overcome those challenges."

Key findings from the report include:

Cloud operations remain a struggle for IT teams

64% of IT decision makers continue to see security and compliance as the top cloud operations challenge, followed by cost management, which was cited as the top challenge by 60% of respondents.

The biggest areas of focus for improving cloud operations continue to be cost management and security, according to 66% of technology executives.

Automation is the key to success in cloud operations

The survey reveals that 82% of respondents believe that cloud automation is critical for optimizing cloud operations and ROI.

95% of respondents have already incorporated some automation in their cloud operations and 88% plan to increase cloud operations automation in 2023.

Enterprise teams are embracing FinOps

Despite a majority of tech executives (96%) agreeing that FinOps is important to their cloud strategy, only 9% have a mature FinOps practice. These numbers remain fairly consistent with findings from the 2022 survey.

The biggest FinOps challenges include reducing cloud costs (50%) and forecasting cloud spend (47%). Only 19% of respondents reported that they have been able to make the most of discounted cloud purchase options.

"Spot by NetApp's 2023 State of CloudOps report is interesting because it shows that cloud cost management is not just a standalone process, but one that is inextricably linked with resource management, compliance, and security", said Hyoun Park, Chief Analyst at Amalgam Insights. "One cannot simply look at cloud costs in a vacuum without advocating for holistic cloud management. As companies seek to manage cloud costs, the sheer volume and variety of cloud cost service components leads companies to automate as they fully optimize and rationalize cloud resources to match business needs."

Methodology: The 2023 State of CloudOps report, sponsored by Spot by NetApp and conducted by Dimensional Research, examines the current state of CloudOps for large enterprise teams, primarily focusing on operational activities, staffing and expertise, automation, and FinOps. This report is based on an online survey of 310 US-based IT decision makers in operations or applications roles who are responsible for public cloud infrastructure investments at companies with 500 or more employees.

Hot Topics

The Latest

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...