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CIOs Say It Could Become Impossible to Manage Digital Performance as IT Complexity Grows

John Van Siclen

Three out of four (76%) of organizations think IT complexity could soon make it impossible to manage digital performance efficiently, according to the Top Challenges Facing CIOs in a Cloud-Native World report from Dynatrace.


The study further highlights that IT complexity is growing exponentially; a single web or mobile transaction now crosses an average of 35 different technology systems or components, compared to 22 just five years ago.

This growth has been driven by the rapid adoption of new technologies in recent years. However, the upward trend is set to accelerate, with 53% of CIOs planning to deploy even more technologies in the next 12 months. The research revealed the key technologies that CIOs will have adopted within the next 12 months include multi-cloud (95%), microservices (88%) and containers (86%).

As a result of this mounting complexity, IT teams now spend an average of 29% of their time dealing with digital performance problems; costing their employers $2.5 million annually.

As they search for a solution to these challenges, four in five (81%) CIOs said they think Artificial Intelligence (AI) will be critical to IT's ability to master increasing IT complexity; with 83% either already, or planning to deploy AI in the next 12 months.

81% of CIOs think AI will be critical to master increasing IT complexity

“Today’s organizations are under huge pressure to keep-up with the always-on, always connected digital economy and its demand for constant innovation,” said Matthias Scharer, VP of Business Operations, Dynatrace. “As a consequence, IT ecosystems are undergoing a constant transformation. The transition to virtualized infrastructure was followed by the migration to the cloud, which has since been supplanted by the trend towards multi-cloud. CIOs have now realized their legacy apps weren’t built for today’s digital ecosystems and are rebuilding them in a cloud-native architecture. These rapid changes have given rise to hyper-scale, hyper-dynamic and hyper-complex IT ecosystems, which makes it extremely difficult to monitor performance and, find and fix problems fast.”

The research further identified the challenges that organizations find most difficult to overcome as they transition to multi-cloud ecosystems and cloud native architecture.

Key findings include:

84% of CIOs say the dynamic nature of containers makes it difficult to understand their impact on application performance

■ 76% of CIOs say multi-cloud makes it especially difficult and time-consuming to monitor and understand the impact that cloud services have on the user-experience

■ 72% are frustrated that IT has to spend so much time setting-up monitoring for different cloud environments when deploying new services

■ 72% say monitoring the performance of microservices in real-time is almost impossible

■ 84% of CIOs say the dynamic nature of containers makes it difficult to understand their impact on application performance

■ Maintaining and configuring performance monitoring (56%) and identifying service dependencies and interactions (54%) are the top challenges CIOs identify with managing microservices and containers

“For cloud to deliver on expected benefits, organizations must have end-to-end visibility across every single transaction,” continued Scharer. “However, this has become very difficult because organizations are building multi-cloud ecosystems on a variety of services from AWS, Azure, Cloud Foundry and SAP amongst others. Added to that, the shift to cloud native architectures fragments the application transaction path even further.

“Today, one environment can have billions of dependencies, so, while modern ecosystems are critical to fast innovation, the legacy approach to monitoring and managing performance falls short. You can’t rely on humans to synthesize and analyze data anymore, nor a bag of independent tools. You need to be able to auto detect and instrument these environments in real time, and most importantly use AI to pinpoint problems with precision and set your environment on a path of auto-remediation to ensure optimal performance and experience from an end users’ perspective.”

Further to the challenges of managing a hyper-complex IT ecosystem, the research also found that IT departments are struggling to keep pace with internal demands from the business:

74% of CIOs said IT is under too much pressure to keep up with unrealistic demands from the business and end users

■ 74% of CIOs said IT is under too much pressure to keep up with unrealistic demands from the business and end users

■ 78% of CIOs highlighted that it is getting harder to find time and resources to answer the range of questions the business asks and still deliver everything else that is expected of IT

■ 80% of CIOs said it is difficult to map the technical metrics of digital performance to the impact they have on the business.

Methodology: This report, commissioned by Dynatrace, is based on a global survey of 800 CIOs in large enterprises with over 1,000 employees, conducted in August 2017 by Vanson Bourne and commissioned by Dynatrace. The sample included 200 respondents in the US, 100 in the UK, France, Germany and China, and 50 in Australia, Singapore, Brazil and Mexico respectively.

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CIOs Say It Could Become Impossible to Manage Digital Performance as IT Complexity Grows

John Van Siclen

Three out of four (76%) of organizations think IT complexity could soon make it impossible to manage digital performance efficiently, according to the Top Challenges Facing CIOs in a Cloud-Native World report from Dynatrace.


The study further highlights that IT complexity is growing exponentially; a single web or mobile transaction now crosses an average of 35 different technology systems or components, compared to 22 just five years ago.

This growth has been driven by the rapid adoption of new technologies in recent years. However, the upward trend is set to accelerate, with 53% of CIOs planning to deploy even more technologies in the next 12 months. The research revealed the key technologies that CIOs will have adopted within the next 12 months include multi-cloud (95%), microservices (88%) and containers (86%).

As a result of this mounting complexity, IT teams now spend an average of 29% of their time dealing with digital performance problems; costing their employers $2.5 million annually.

As they search for a solution to these challenges, four in five (81%) CIOs said they think Artificial Intelligence (AI) will be critical to IT's ability to master increasing IT complexity; with 83% either already, or planning to deploy AI in the next 12 months.

81% of CIOs think AI will be critical to master increasing IT complexity

“Today’s organizations are under huge pressure to keep-up with the always-on, always connected digital economy and its demand for constant innovation,” said Matthias Scharer, VP of Business Operations, Dynatrace. “As a consequence, IT ecosystems are undergoing a constant transformation. The transition to virtualized infrastructure was followed by the migration to the cloud, which has since been supplanted by the trend towards multi-cloud. CIOs have now realized their legacy apps weren’t built for today’s digital ecosystems and are rebuilding them in a cloud-native architecture. These rapid changes have given rise to hyper-scale, hyper-dynamic and hyper-complex IT ecosystems, which makes it extremely difficult to monitor performance and, find and fix problems fast.”

The research further identified the challenges that organizations find most difficult to overcome as they transition to multi-cloud ecosystems and cloud native architecture.

Key findings include:

84% of CIOs say the dynamic nature of containers makes it difficult to understand their impact on application performance

■ 76% of CIOs say multi-cloud makes it especially difficult and time-consuming to monitor and understand the impact that cloud services have on the user-experience

■ 72% are frustrated that IT has to spend so much time setting-up monitoring for different cloud environments when deploying new services

■ 72% say monitoring the performance of microservices in real-time is almost impossible

■ 84% of CIOs say the dynamic nature of containers makes it difficult to understand their impact on application performance

■ Maintaining and configuring performance monitoring (56%) and identifying service dependencies and interactions (54%) are the top challenges CIOs identify with managing microservices and containers

“For cloud to deliver on expected benefits, organizations must have end-to-end visibility across every single transaction,” continued Scharer. “However, this has become very difficult because organizations are building multi-cloud ecosystems on a variety of services from AWS, Azure, Cloud Foundry and SAP amongst others. Added to that, the shift to cloud native architectures fragments the application transaction path even further.

“Today, one environment can have billions of dependencies, so, while modern ecosystems are critical to fast innovation, the legacy approach to monitoring and managing performance falls short. You can’t rely on humans to synthesize and analyze data anymore, nor a bag of independent tools. You need to be able to auto detect and instrument these environments in real time, and most importantly use AI to pinpoint problems with precision and set your environment on a path of auto-remediation to ensure optimal performance and experience from an end users’ perspective.”

Further to the challenges of managing a hyper-complex IT ecosystem, the research also found that IT departments are struggling to keep pace with internal demands from the business:

74% of CIOs said IT is under too much pressure to keep up with unrealistic demands from the business and end users

■ 74% of CIOs said IT is under too much pressure to keep up with unrealistic demands from the business and end users

■ 78% of CIOs highlighted that it is getting harder to find time and resources to answer the range of questions the business asks and still deliver everything else that is expected of IT

■ 80% of CIOs said it is difficult to map the technical metrics of digital performance to the impact they have on the business.

Methodology: This report, commissioned by Dynatrace, is based on a global survey of 800 CIOs in large enterprises with over 1,000 employees, conducted in August 2017 by Vanson Bourne and commissioned by Dynatrace. The sample included 200 respondents in the US, 100 in the UK, France, Germany and China, and 50 in Australia, Singapore, Brazil and Mexico respectively.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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