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Full-Stack Observability in 2024 and the Importance of End-to-End Visibility for IT Teams

Full-stack observability is key to deliver a seamless digital experience and here's why
Gregg Ostrowski
AppDynamics

Applications and digital services have become a core to how we live, work and play, providing more convenient and intuitive solutions for tedious tasks. However, end user expectations have accelerated over the past two years, putting pressure on IT teams to develop and maintain seamless, always on services.

In our latest research, Cisco's The App Attention Index 2023: Beware the Application Generation, 62% of consumers report their expectations for digital experiences are far higher than they were two years ago, and 64% state they are less forgiving of poor digital services than they were just 12 months ago. People have enjoyed the benefits of the most innovative, seamless and secure applications and digital services available and will no longer tolerate poor performance.

In today's competitive digital marketplace, IT teams need a multi-purpose solution to help optimize the digital experience. By taking this modern approach to application performance, IT teams will be equipped to quickly detect and resolve possible bottlenecks across even the most complex and fragmented IT environments before the end user is impacted.

The Focus Has Shifted from Quantity to Quality

77% have stopped using digital services or deleted applications from their devices because of a performance issue

The research revealed the digital experience is now imperative for business success, as people's reactions to failed or underperforming applications has grown stronger. Over the last 12 months, 77% have stopped using digital services or deleted applications from their devices because of a performance issue. Consumers are also more likely to share their negative experiences, with 67% saying they would warn others about applications that fail to perform. This intel alone shows positive digital experiences are now a business imperative.

But, just as expectations for seamless digital experiences are rising, instances of digital disruption are also becoming more frequent. As many as 88% of consumers report they have experienced performance issues when using applications over the past 12 months, which is a significant increase from the 81% recorded in 2021. The introduction of more complex cloud environments, increased security risks, and growing user numbers are likely all factors contributing to the rise in digital disruption. And for many IT teams, the task of optimizing application availability, performance and security to address these concerns is easier said than done.

Full-Stack Observability: The Multi-Purpose Solution for IT Teams

IT teams are hindered by increasingly complex and fragmented environments. With the widespread adoption of cloud native technologies, IT teams have had to manage broader, more intricate application infrastructures spanning across both cloud and on-premises. For most, this has been a rapid transformation, leaving IT teams without all the necessary tools and insights needed to optimize application performance in a hybrid environment.

The more complexity you introduce, the harder it is to have complete visibility. IT teams are struggling with cloud native technologies such as Kubernetes, and they can't get a clear line of sight for applications where components are running across hybrid environments. This has made it near impossible for them to quickly identify and fix performance and security issues in real time, before they impact the end user experience.

Full-stack observability can help technology leaders and their teams overcome these challenges by generating full and unified visibility. As cloud adoption and optimization continues to trend in 2024, we should similarly expect observability to be a critical part of modern business strategies. With full-stack observability, IT teams can receive performance updates in real time, so they can rapidly detect problems, understand what's causing them and avoid downtime.

Another key advantage of full-stack observability is the ability to correlate the application performance and security data with key business metrics. Over the last year, telemetry data has emerged as an invaluable instrument to extract, collate and analyze performance data at every layer of a distributed system. It's a component of observability we expect will further mature in 2024, as this data can help IT teams identify, prioritize, and most importantly, take action on the issues that will have the biggest impact on digital experience. Rather than firefighting an overwhelming number of alerts, IT teams can take a more proactive, thoughtful approach, focused on what will deliver the biggest impact to customers and the business.

There is an appetite for applications and digital services to deliver the best performance, but modern IT environments are getting more complex. IT teams need a unified solution that can centralize and correlate availability, performance and security data from across hybrid infrastructures. With full-stack observability, technology leaders can equip their teams with the tools and insights needed to meet this soaring demand for increasingly intuitive, seamless and secure digital experiences.

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 ...

Full-Stack Observability in 2024 and the Importance of End-to-End Visibility for IT Teams

Full-stack observability is key to deliver a seamless digital experience and here's why
Gregg Ostrowski
AppDynamics

Applications and digital services have become a core to how we live, work and play, providing more convenient and intuitive solutions for tedious tasks. However, end user expectations have accelerated over the past two years, putting pressure on IT teams to develop and maintain seamless, always on services.

In our latest research, Cisco's The App Attention Index 2023: Beware the Application Generation, 62% of consumers report their expectations for digital experiences are far higher than they were two years ago, and 64% state they are less forgiving of poor digital services than they were just 12 months ago. People have enjoyed the benefits of the most innovative, seamless and secure applications and digital services available and will no longer tolerate poor performance.

In today's competitive digital marketplace, IT teams need a multi-purpose solution to help optimize the digital experience. By taking this modern approach to application performance, IT teams will be equipped to quickly detect and resolve possible bottlenecks across even the most complex and fragmented IT environments before the end user is impacted.

The Focus Has Shifted from Quantity to Quality

77% have stopped using digital services or deleted applications from their devices because of a performance issue

The research revealed the digital experience is now imperative for business success, as people's reactions to failed or underperforming applications has grown stronger. Over the last 12 months, 77% have stopped using digital services or deleted applications from their devices because of a performance issue. Consumers are also more likely to share their negative experiences, with 67% saying they would warn others about applications that fail to perform. This intel alone shows positive digital experiences are now a business imperative.

But, just as expectations for seamless digital experiences are rising, instances of digital disruption are also becoming more frequent. As many as 88% of consumers report they have experienced performance issues when using applications over the past 12 months, which is a significant increase from the 81% recorded in 2021. The introduction of more complex cloud environments, increased security risks, and growing user numbers are likely all factors contributing to the rise in digital disruption. And for many IT teams, the task of optimizing application availability, performance and security to address these concerns is easier said than done.

Full-Stack Observability: The Multi-Purpose Solution for IT Teams

IT teams are hindered by increasingly complex and fragmented environments. With the widespread adoption of cloud native technologies, IT teams have had to manage broader, more intricate application infrastructures spanning across both cloud and on-premises. For most, this has been a rapid transformation, leaving IT teams without all the necessary tools and insights needed to optimize application performance in a hybrid environment.

The more complexity you introduce, the harder it is to have complete visibility. IT teams are struggling with cloud native technologies such as Kubernetes, and they can't get a clear line of sight for applications where components are running across hybrid environments. This has made it near impossible for them to quickly identify and fix performance and security issues in real time, before they impact the end user experience.

Full-stack observability can help technology leaders and their teams overcome these challenges by generating full and unified visibility. As cloud adoption and optimization continues to trend in 2024, we should similarly expect observability to be a critical part of modern business strategies. With full-stack observability, IT teams can receive performance updates in real time, so they can rapidly detect problems, understand what's causing them and avoid downtime.

Another key advantage of full-stack observability is the ability to correlate the application performance and security data with key business metrics. Over the last year, telemetry data has emerged as an invaluable instrument to extract, collate and analyze performance data at every layer of a distributed system. It's a component of observability we expect will further mature in 2024, as this data can help IT teams identify, prioritize, and most importantly, take action on the issues that will have the biggest impact on digital experience. Rather than firefighting an overwhelming number of alerts, IT teams can take a more proactive, thoughtful approach, focused on what will deliver the biggest impact to customers and the business.

There is an appetite for applications and digital services to deliver the best performance, but modern IT environments are getting more complex. IT teams need a unified solution that can centralize and correlate availability, performance and security data from across hybrid infrastructures. With full-stack observability, technology leaders can equip their teams with the tools and insights needed to meet this soaring demand for increasingly intuitive, seamless and secure digital experiences.

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 ...