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

December 18, 2024

Industry experts offer predictions on how NetOps, Network Performance Management, Network Observability and related technologies will evolve and impact business in 2025 ...

December 17, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 6 covers cloud, the edge and IT outages ...

December 16, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 5 covers user experience, Digital Experience Management (DEM) and the hybrid workforce ...

December 12, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 4 covers logs and Observability data ...

December 11, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers OpenTelemetry, DevOps and more ...

December 10, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers AI's impact on Observability, including AI Observability, AI-Powered Observability and AIOps ...

December 09, 2024

The Holiday Season means it is time for APMdigest's annual list of predictions, covering IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, APM, AIOps and related technologies will evolve and impact business in 2025 ...

December 05, 2024
Generative AI represents more than just a technological advancement; it's a transformative shift in how businesses operate. Companies are beginning to tap into its ability to enhance processes, innovate products and improve customer experiences. According to a new IDC InfoBrief sponsored by Endava, 60% of CEOs globally highlight deploying AI, including generative AI, as their top modernization priority to support digital business ambitions over the next two years ...
December 04, 2024

Technology leaders will invest in AI-driven customer experience (CX) strategies in the year ahead as they build more dynamic, relevant and meaningful connections with their target audiences ... As AI shifts the CX paradigm from reactive to proactive, tech leaders and their teams will embrace these five AI-driven strategies that will improve customer support and cybersecurity while providing smoother, more reliable service offerings ...

December 03, 2024

We're at a critical inflection point in the data landscape. In our recent survey of executive leaders in the data space — The State of Data Observability in 2024 — we found that while 92% of organizations now consider data reliability core to their strategy, most still struggle with fundamental visibility challenges ...