Skip to main content

Where Do IT Professionals Need the Most Support During COVID-19?

Research shows an increased demand in APM, cloud monitoring and microservices
Angie Mistretta
AppDynamics

As the pressures for companies to deliver exceptional digital experiences dramatically increase, digital transformation is now a key priority for all. Whether its supporting a remote workforce with collaboration tools or updating a healthcare application to make information about testing facilities more available, the COVID-19 pandemic has exponentially accelerated digital transformation projects for internal and external purposes and is forcing IT teams to adopt new systems and expand their existing tools in order to keep up. In verticals such as higher education, finance and retail, we're seeing IT deployment timelines of 5-10 years accelerate to weeks or months as companies contend with students and customers who now only interact through applications.

Our almost instantaneous and complete reliance on technology for day-to-day activities — from working remotely, ordering groceries, or having a happy hour with friends — forced industry professionals to rapidly adapt to meet the new demands. In this new world, where companies are relying on IT teams to have the right answer to each new challenge, it is important to recognize how technology vendors can support them. What are vendors offering and what do these professionals need?

Identifying Where IT Professionals Need the Most Help

To better understand where IT professionals are turning for help, we analyzed the online behaviors of IT decision-makers across the AppDynamics website during a peak period of the COVID-19 pandemic, March 1 through April 4, 2020. Our research found an increase in demand for resources related to APM, microservices and dependence on cloud services. This shows IT professionals are searching for more effective ways to manage, optimize and scale services to meet their users' expectations.

APM, Cloud and Microservices Are On the Rise

Instead of storefronts, customers have been depending on the reliability of digital experiences to keep things as normal as possible. Similarly, the complete shift to work from home for many companies accelerated a fully digital experience sooner than most expected. Monitoring and evaluating the performance of apps across the network makes sure employees and customers are having dynamic and personalized experiences, which ultimately drives brand loyalty. During the COVID-19 pandemic, web traffic for information about APM service has increased 24 percent and we experienced a 233 percent increase in attendance for an APM class, making it clear there is a huge desire to better understand the technology.

Additionally, the pandemic has made it difficult for businesses to predict demand or rely on capacity models built without accounting for the rapid behavior changes that are occurring. IT decision makers need flexibility to quickly scale resources up and down as user demands shift and we all adjust to this new physically disperse and app heavy reality. The cloud is what will help enable this. Some organizations who previously deployed on-premise software now need to enable a remote workforce and provide access to business-critical data in real-time to geographically dispersed teams. Validating these shifts in IT priorities, we saw a 40 percent increase in traffic to cloud monitoring related pages highlighting that a path to the cloud is necessary for business survival right now.

IT professionals are faced with the challenge of constantly evolving the quality of a digital experience so it makes sense that microservices would also be of interest. As microservices help develop, test and deploy code as efficiently as possible, web traffic for resources focused on microservices adoption and how to leverage microservices to enhance user experience has increased by 21 percent since the pandemic began.

These IT decision makers are accelerating adoption of container orchestration technologies like Kubernetes to manage and scale workloads. We found a 20 percent increase in web traffic for resources related to Kubernetes monitoring and a 33 percent increase in demand for resources about best practices for instrumenting containers.

It is clear that our increased dependence on the digital experience is pushing IT departments to find more efficient ways of deploying applications without breaking their budgets or alienating customers or employees in the process. IT professionals need additional support and tools to address their current challenges, which will not vanish post-pandemic.

This means that business leaders need to give them the tools, support and freedom they need to adopt new technologies and transform digital business models at a pace faster than anything we have seen before.

Angie Mistretta is CMO of AppDynamics, a part of Cisco

The Latest

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

Where Do IT Professionals Need the Most Support During COVID-19?

Research shows an increased demand in APM, cloud monitoring and microservices
Angie Mistretta
AppDynamics

As the pressures for companies to deliver exceptional digital experiences dramatically increase, digital transformation is now a key priority for all. Whether its supporting a remote workforce with collaboration tools or updating a healthcare application to make information about testing facilities more available, the COVID-19 pandemic has exponentially accelerated digital transformation projects for internal and external purposes and is forcing IT teams to adopt new systems and expand their existing tools in order to keep up. In verticals such as higher education, finance and retail, we're seeing IT deployment timelines of 5-10 years accelerate to weeks or months as companies contend with students and customers who now only interact through applications.

Our almost instantaneous and complete reliance on technology for day-to-day activities — from working remotely, ordering groceries, or having a happy hour with friends — forced industry professionals to rapidly adapt to meet the new demands. In this new world, where companies are relying on IT teams to have the right answer to each new challenge, it is important to recognize how technology vendors can support them. What are vendors offering and what do these professionals need?

Identifying Where IT Professionals Need the Most Help

To better understand where IT professionals are turning for help, we analyzed the online behaviors of IT decision-makers across the AppDynamics website during a peak period of the COVID-19 pandemic, March 1 through April 4, 2020. Our research found an increase in demand for resources related to APM, microservices and dependence on cloud services. This shows IT professionals are searching for more effective ways to manage, optimize and scale services to meet their users' expectations.

APM, Cloud and Microservices Are On the Rise

Instead of storefronts, customers have been depending on the reliability of digital experiences to keep things as normal as possible. Similarly, the complete shift to work from home for many companies accelerated a fully digital experience sooner than most expected. Monitoring and evaluating the performance of apps across the network makes sure employees and customers are having dynamic and personalized experiences, which ultimately drives brand loyalty. During the COVID-19 pandemic, web traffic for information about APM service has increased 24 percent and we experienced a 233 percent increase in attendance for an APM class, making it clear there is a huge desire to better understand the technology.

Additionally, the pandemic has made it difficult for businesses to predict demand or rely on capacity models built without accounting for the rapid behavior changes that are occurring. IT decision makers need flexibility to quickly scale resources up and down as user demands shift and we all adjust to this new physically disperse and app heavy reality. The cloud is what will help enable this. Some organizations who previously deployed on-premise software now need to enable a remote workforce and provide access to business-critical data in real-time to geographically dispersed teams. Validating these shifts in IT priorities, we saw a 40 percent increase in traffic to cloud monitoring related pages highlighting that a path to the cloud is necessary for business survival right now.

IT professionals are faced with the challenge of constantly evolving the quality of a digital experience so it makes sense that microservices would also be of interest. As microservices help develop, test and deploy code as efficiently as possible, web traffic for resources focused on microservices adoption and how to leverage microservices to enhance user experience has increased by 21 percent since the pandemic began.

These IT decision makers are accelerating adoption of container orchestration technologies like Kubernetes to manage and scale workloads. We found a 20 percent increase in web traffic for resources related to Kubernetes monitoring and a 33 percent increase in demand for resources about best practices for instrumenting containers.

It is clear that our increased dependence on the digital experience is pushing IT departments to find more efficient ways of deploying applications without breaking their budgets or alienating customers or employees in the process. IT professionals need additional support and tools to address their current challenges, which will not vanish post-pandemic.

This means that business leaders need to give them the tools, support and freedom they need to adopt new technologies and transform digital business models at a pace faster than anything we have seen before.

Angie Mistretta is CMO of AppDynamics, a part of Cisco

The Latest

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...