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Brands Need a 360 Degree View of Their Digital Services IT Stack - or Risk Losing Customers

Gregg Ostrowski
AppDynamics

The past 18 months have had a significant impact on consumer habits and how businesses respond to new demands. Everyday tasks such as banking, grocery shopping and working had to be done online, and if business leaders had not invested in a digital strategy before the pandemic hit, they immediately fell behind.

In the 2021 AppDynamics App Attention Index, 85% of consumers said digital services and applications have become a critical part of their daily lives — 73% said they will continue to rely on these applications, even as life returns to normal. With this in mind, it is becoming more challenging and almost impossible for business leaders to avoid investing in their digital approach any longer.

Consumers have also become accustomed to what type of experiences they can expect from an application, with reliability and consistent performance being two of the biggest demands. If these expectations from consumers are not met, they look elsewhere for a service that will provide a stellar experience, leading to a loss in customers. Poor performance is no longer an option, and as the report revealed, consumers believe it's the business' responsibility to ensure everything performs seamlessly.

These are some of the challenges and best practices business leaders should be aware of as the pandemic eases and consumer's expectations are permanently heightened.

Brand Loyalty Is Rewarding, but Without Maintenance, You Might Lose It

In the beginning of the pandemic, the heightened reliance on digital services was new for both business leaders and everyday consumers. While most consumers were familiar with common tasks — such as shopping or checking a bank account online — others, such as working remotely, exercising or having a telemedicine appointment were newer.

With such a strong reliance on these applications during the pandemic, consumers have had the time to find what digital experiences work best for them and have remained loyal to the ones that have continued to deliver reliable and consistent service.

Two-thirds of consumers said they feel more loyal to the brands that went above and beyond with the quality and convenience of their digital services during the pandemic

In fact, over two-thirds of consumers said they feel more loyal to the brands that went above and beyond with the quality and convenience of their digital services during the pandemic.

The pandemic altered consumer expectations of digital services forever. Having consumers who are loyal to your business is great, but it's important to not lose sight of why they selected your service and what experience they expect from it.

While it may take longer for a loyal consumer to drop your service if there's poor performance, it's not impossible. In fact, more than half of consumers shared that brands now only have one shot to deliver positive digital experiences before they switch to another provider.

New functionality, increased users and additional demands on applications have led to rising complexity in IT departments. And, business leaders lean on their technologists to help understand what is needed to keep their digital offerings running smoothly.

In order to prioritize application fixes based on end-user impact, tools, like taking a full-stack observability approach, can enable the leaders and technologists to see across the full stack to flag an issue as well as what is working smoothly in real time to avoid poor performance for consumers.

Businesses Are Responsible for the Digital Services That Drive Our Everyday Lives

With consumers ultimately benefiting from an increase in choices, improvements and quality of digital experiences, they are unwilling to give second chances and simply won't tolerate or stick around for poor performing applications.

55% of consumers believe digital services helped them get through the challenges brought on by the pandemic. Additionally, consumers shared that without access to any digital services, they would be bored, lonely or even stressed.

Keeping up your application's performance not only retains and grows your user base, but it also plays a larger role in helping individuals maintain their mental and physical health, finances and government accounts. As a business leader, you are responsible for the experience your digital services offer and identifying what your IT team needs in order to deliver a seamless service.

Going forward, business leaders should continue to strive to deliver a "total application experience," which is reliable, high-performing, simple, secure and helpful to use. Continuing to invest in digital services is crucial to a business' success. By looking at the technology you're using and how it impacts everything from performance to earnings, you can help your business stay ahead. Fail, and previously loyal customers will walk away forever.

Gregg Ostrowski is CTO Advisor at Cisco AppDynamics

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Brands Need a 360 Degree View of Their Digital Services IT Stack - or Risk Losing Customers

Gregg Ostrowski
AppDynamics

The past 18 months have had a significant impact on consumer habits and how businesses respond to new demands. Everyday tasks such as banking, grocery shopping and working had to be done online, and if business leaders had not invested in a digital strategy before the pandemic hit, they immediately fell behind.

In the 2021 AppDynamics App Attention Index, 85% of consumers said digital services and applications have become a critical part of their daily lives — 73% said they will continue to rely on these applications, even as life returns to normal. With this in mind, it is becoming more challenging and almost impossible for business leaders to avoid investing in their digital approach any longer.

Consumers have also become accustomed to what type of experiences they can expect from an application, with reliability and consistent performance being two of the biggest demands. If these expectations from consumers are not met, they look elsewhere for a service that will provide a stellar experience, leading to a loss in customers. Poor performance is no longer an option, and as the report revealed, consumers believe it's the business' responsibility to ensure everything performs seamlessly.

These are some of the challenges and best practices business leaders should be aware of as the pandemic eases and consumer's expectations are permanently heightened.

Brand Loyalty Is Rewarding, but Without Maintenance, You Might Lose It

In the beginning of the pandemic, the heightened reliance on digital services was new for both business leaders and everyday consumers. While most consumers were familiar with common tasks — such as shopping or checking a bank account online — others, such as working remotely, exercising or having a telemedicine appointment were newer.

With such a strong reliance on these applications during the pandemic, consumers have had the time to find what digital experiences work best for them and have remained loyal to the ones that have continued to deliver reliable and consistent service.

Two-thirds of consumers said they feel more loyal to the brands that went above and beyond with the quality and convenience of their digital services during the pandemic

In fact, over two-thirds of consumers said they feel more loyal to the brands that went above and beyond with the quality and convenience of their digital services during the pandemic.

The pandemic altered consumer expectations of digital services forever. Having consumers who are loyal to your business is great, but it's important to not lose sight of why they selected your service and what experience they expect from it.

While it may take longer for a loyal consumer to drop your service if there's poor performance, it's not impossible. In fact, more than half of consumers shared that brands now only have one shot to deliver positive digital experiences before they switch to another provider.

New functionality, increased users and additional demands on applications have led to rising complexity in IT departments. And, business leaders lean on their technologists to help understand what is needed to keep their digital offerings running smoothly.

In order to prioritize application fixes based on end-user impact, tools, like taking a full-stack observability approach, can enable the leaders and technologists to see across the full stack to flag an issue as well as what is working smoothly in real time to avoid poor performance for consumers.

Businesses Are Responsible for the Digital Services That Drive Our Everyday Lives

With consumers ultimately benefiting from an increase in choices, improvements and quality of digital experiences, they are unwilling to give second chances and simply won't tolerate or stick around for poor performing applications.

55% of consumers believe digital services helped them get through the challenges brought on by the pandemic. Additionally, consumers shared that without access to any digital services, they would be bored, lonely or even stressed.

Keeping up your application's performance not only retains and grows your user base, but it also plays a larger role in helping individuals maintain their mental and physical health, finances and government accounts. As a business leader, you are responsible for the experience your digital services offer and identifying what your IT team needs in order to deliver a seamless service.

Going forward, business leaders should continue to strive to deliver a "total application experience," which is reliable, high-performing, simple, secure and helpful to use. Continuing to invest in digital services is crucial to a business' success. By looking at the technology you're using and how it impacts everything from performance to earnings, you can help your business stay ahead. Fail, and previously loyal customers will walk away forever.

Gregg Ostrowski is CTO Advisor at Cisco AppDynamics

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...