CIOs Say It Could Become Impossible to Manage Digital Performance as IT Complexity Grows
February 21, 2018

John Van Siclen
Dynatrace

Share this

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.

John Van Siclen is CEO of Dynatrace
Share this

The Latest

June 20, 2024

The total cost of downtime for Global 2000 companies is $400 billion annually — or 9% of profits — when digital environments fail unexpectedly, according to The Hidden Costs of Downtime, a new report from Splunk ...

June 18, 2024

With the rise of digital transformation and the increasing reliance on applications for business operations, the need for application performance management (APM) has become more critical ... This blog explains what APM is all about, its significance and key features ...

June 17, 2024

Generative AI (GenAI) has captured significant attention by redefining content creation and automation processes. Despite this surge in GenAI's popularity, it's crucial to highlight the continuous, vital role of machine learning (ML) in underpinning crucial business functions. This era is not about GenAI replacing ML; rather, it's about these technologies collaborating to supercharge intelligent automation across industries ...

June 13, 2024

As organizations continue to navigate their digital transformation journeys, the need for efficient, secure, and scalable data movement strategies has never been more critical ... In an era when enterprise IT landscapes are continually evolving, the strategic movement of data has become a cornerstone of maintaining agility, competitive edge, and operational efficiency ...

June 12, 2024

In May, New Relic published the State of Observability for IT and Telecommunications Report to share insights, statistics, and analysis on the adoption and business value of observability for the IT and telecommunications industries. Here are five key takeaways from the report ...

June 11, 2024
Over the past decade, the pace of technological progress has reached unprecedented levels, where fads both quickly rise and shrink in popularity. From AI and composability to augmented reality and quantum computing, the toolkit of emerging technologies is continuing to expand, creating a complex set of opportunities and challenges for businesses to address. In order to keep pace with competitors, avoiding new models and ideas is not an option. It's critical for organizations to determine whether an idea has transformative properties or is just a flash in the pan — a challenge tackled in Endava's new 2024 Emerging Tech Unpacked Report ...
June 10, 2024

The rapidly evolving nature of the industry, particularly with the recent surge in generative AI, can catch firms off-guard, leaving them scrambling to adapt to new trends without the necessary funds ... This blog will discuss effective strategies for optimizing cloud expenses to free up funds for emerging AI technologies, ensuring companies can adapt and thrive without financial strain ...

June 06, 2024

Software developers are spending more than 57% of their time being dragged into "war rooms" to solve application performance issues, rather than investing their time developing new, cutting-edge software applications as part of their organization's innovation strategy, according to a new report from Cisco ...

June 05, 2024

Generative Artificial Intelligence (GenAI) is continuing to see massive adoption and expanding use cases, despite some ongoing concerns related to bias and performance. This is clear from the results of Applause's 2024 GenAI Survey, which examined how digital quality professionals use and experience GenAI technology ... Here's what we found ...

June 04, 2024

Many times customers want to know why their measured performance doesn't match the speed advertised (by the platform vendor, software vendor, network vendor, etc). Assuming the advertised speeds are (a) within the realm of physical possibility and obeys the laws of physics, and (b) are real achievable speeds and not "click-bait," there are at least ten reasons for being unable to achieve advertised speeds. In situations where customer expectations and measured performance don't align, use the following checklist to help determine the reason(s) why ...