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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

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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 ...

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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 ...

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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% ...

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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 ...

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

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 ...