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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

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...