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Multiple Cloud Automation Solutions Create Operational Challenges

A large majority of organizations employ more than one cloud automation solution, and this practice creates significant challenges that are resulting in delays and added costs for businesses, according to Why companies lose efficiency and compliance with cloud automation solutions from Broadcom. Not surprisingly, the research also found the majority of companies have consolidation efforts underway, a trend that has nurtured an important emerging role in the IT organization, that of Cloud Architect.

"The modern IT organization is highly complex with multiple cloud platforms, environments, and cloud automation solutions.These 'islands of automation' have become a big challenge," said Aline Gerew, Head of Automation Agile Operations Division, Broadcom. "These survey findings demonstrate a growing need to abstract the complexity from hybrid cloud automation processes and provide a single view of all automation processes."

Chaos in the Cloud

As businesses' reliance on cloud has increased, so has the need for various cloud automation tools to help manage cloud workloads. And with many companies utilizing several cloud platforms, it's not surprising they also use multiple automation tools. In fact, 81% of companies use more than one cloud automation solution, many of which are cloud native. These tools are also deployed in numerous environments — public clouds, on-premises, and SaaS based solutions, which makes coordinated automation a challenge.

70% of those surveyed reported that using multiple cloud automation tools has created significant challenges. Among the biggest issues are:

■ increasing the time to automate (59%)

■ time to report (52%)

■ time to remediate automation problems (52%)

Nearly half of respondents indicated compliance is more difficult. Using multiple automation solutions also adds costs, makes trouble shooting more difficult, and delays delivery.

Consolidation Is Complex

Given the many challenges of using multiple cloud automation solutions, it is not surprising that 78% of respondents' companies have consolidation plans underway. However, the process is not simple and requires careful planning to ensure the remaining cloud automation tools can support multiple different environments.

Additionally, companies continue to utilize various approaches when moving existing application functionality to the cloud including:

■ SaaS (57%)

■ lift and shift (56%)

■ cloud native replacements (46%)

■ refactoring (41%).

These diverse platform and functionality needs drive a long list of requirements for cloud automation tool selection with 62% citing operational costs as the most important factor followed by performance (53%), and operational efficiency (49%). Other criteria include supported environments, ease of use, and advanced features such as dashboards, analytics, and SLAs.

Rise of the Cloud Architect

An interesting outcome of the trend toward consolidation is the growing role of the Cloud Architect. This role is tasked with addressing the challenges of too many cloud automation tools and leading the work to find a single solution that meets the diverse platform and functional needs of the organization. The survey found 67% of companies currently have a cloud architect on staff with another 33% planning to hire one. The Cloud Architect has broad reach, influencing numerous automation projects across various teams within the organization including IT, development, and security.

Methodology: IT, cloud and deployment professionals at companies of all sizes representing all seniority levels were invited to participate in a survey on their company's cloud automation practices. The survey was administered electronically by a third party, and participants were offered a token compensation for their participation. A total of 535 qualified participants from five continents completed the global survey.

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Multiple Cloud Automation Solutions Create Operational Challenges

A large majority of organizations employ more than one cloud automation solution, and this practice creates significant challenges that are resulting in delays and added costs for businesses, according to Why companies lose efficiency and compliance with cloud automation solutions from Broadcom. Not surprisingly, the research also found the majority of companies have consolidation efforts underway, a trend that has nurtured an important emerging role in the IT organization, that of Cloud Architect.

"The modern IT organization is highly complex with multiple cloud platforms, environments, and cloud automation solutions.These 'islands of automation' have become a big challenge," said Aline Gerew, Head of Automation Agile Operations Division, Broadcom. "These survey findings demonstrate a growing need to abstract the complexity from hybrid cloud automation processes and provide a single view of all automation processes."

Chaos in the Cloud

As businesses' reliance on cloud has increased, so has the need for various cloud automation tools to help manage cloud workloads. And with many companies utilizing several cloud platforms, it's not surprising they also use multiple automation tools. In fact, 81% of companies use more than one cloud automation solution, many of which are cloud native. These tools are also deployed in numerous environments — public clouds, on-premises, and SaaS based solutions, which makes coordinated automation a challenge.

70% of those surveyed reported that using multiple cloud automation tools has created significant challenges. Among the biggest issues are:

■ increasing the time to automate (59%)

■ time to report (52%)

■ time to remediate automation problems (52%)

Nearly half of respondents indicated compliance is more difficult. Using multiple automation solutions also adds costs, makes trouble shooting more difficult, and delays delivery.

Consolidation Is Complex

Given the many challenges of using multiple cloud automation solutions, it is not surprising that 78% of respondents' companies have consolidation plans underway. However, the process is not simple and requires careful planning to ensure the remaining cloud automation tools can support multiple different environments.

Additionally, companies continue to utilize various approaches when moving existing application functionality to the cloud including:

■ SaaS (57%)

■ lift and shift (56%)

■ cloud native replacements (46%)

■ refactoring (41%).

These diverse platform and functionality needs drive a long list of requirements for cloud automation tool selection with 62% citing operational costs as the most important factor followed by performance (53%), and operational efficiency (49%). Other criteria include supported environments, ease of use, and advanced features such as dashboards, analytics, and SLAs.

Rise of the Cloud Architect

An interesting outcome of the trend toward consolidation is the growing role of the Cloud Architect. This role is tasked with addressing the challenges of too many cloud automation tools and leading the work to find a single solution that meets the diverse platform and functional needs of the organization. The survey found 67% of companies currently have a cloud architect on staff with another 33% planning to hire one. The Cloud Architect has broad reach, influencing numerous automation projects across various teams within the organization including IT, development, and security.

Methodology: IT, cloud and deployment professionals at companies of all sizes representing all seniority levels were invited to participate in a survey on their company's cloud automation practices. The survey was administered electronically by a third party, and participants were offered a token compensation for their participation. A total of 535 qualified participants from five continents completed the global survey.

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The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...