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3 Reasons Why Full-Stack Observability Is Key to Business Growth

Gregg Ostrowski
AppDynamics

The past couple years fostered an unprecedented expansion of digital transformation initiatives and projects across nearly every industry. In order to maintain "business as usual" during the world's transition to being fully remote or hybrid, companies had to implement new digital services, or update existing ones, to allow transactions to take place online versus in person. As a result, companies' digital strategies quickly grew in significance, playing a larger role in the ultimate success of the business.

In a study of 1,200 global IT leaders, Cisco AppDynamics found that as applications have become a critical part of daily life, 98% of technologists believe it is increasingly important to connect visibility across the entire IT stack. With a higher dependency on applications, consumer expectations around the performance, reliability and innovative features of digital experiences have skyrocketed and without tools like full-stack observability in place, companies risk facing competitive disadvantages like spiraling complexity and productivity issues.

This evolution has increased the pressure on brands to make certain their digital services are performing well, and to recognize that downtime is not an option. Meanwhile, through the increased adoption of cloud services, the application topology has grown in complexity. This makes the need to identify and quickly fix anomalies that could lead to poor performance more important than ever. As a consequence, many enterprises are finding that traditional monitoring doesn't go far enough. Full-stack observability is growing in prominence as IT teams seek to easily manage application performance, solve complexity across their entire IT stack, and review each of these functions through a business lens. This article explores three key areas to consider when implementing a full-stack observability solution.

1. Make IT Performance Monitoring Easy

Companies' adoption and expansion of digital services has led to larger, more complex IT stacks, which must be monitored round-the-clock for any changes to performance that could impact customers. While most IT teams have some form of monitoring tools in place to automate this task, increased complexity has created more inefficient procedures and challenges for technologists, making it more difficult to grow the business. In fact, 70 percent of technologists are concerned that their organization is now behind industry peers in implementing observability solutions. It can be difficult to find time to innovate and grow as maintaining the performance of digital services is a full-time job itself.

With full-stack observability, companies don't have to choose between growing or maintaining app performance. Instead, they can take advantage of its sophisticated monitoring to both manage even the most complex stacks and enable room for growth. Full-stack observability automatically centralizes and correlates application performance analytics across the entire IT stack, ultimately providing companies with in-depth visibility into the behavior, performance and health of their digital services. Therefore, companies are not only alleviated of having to strictly manage the monitoring process, but they're also presented with advanced performance data that can inform future innovation and growth plans.  

2. Tackle Discrepancies in the IT Stack

In addition to in-depth insights, full-stack observability provides real-time visibility across the entire IT stack and helps technologists quickly identify and solve any discrepancies in performance, as well as pinpoint the location and cause of any incidents so companies can efficiently address the issue.

93% of technologists recognize that there is more work to be done to deploy full-stack observability within their organization in order to address complexity by easily identifying and fixing root causes of performance issues, such as lags, outages or crashes. With digital services continuing to play a significant role in daily life activities, users are more likely to notice a performance lag or outage. Consumers expect a seamless digital experience and when a company misses the mark, they risk adverse effects on brand loyalty and reputation, with the chance of never getting it back.

By deploying a full-stack observability approach, companies can avoid these strikes against their business and get ahead of performance outages before they directly impact consumers.

3. Put a Business Lens on IT Performance

When looking to maximize business growth and success during this period of heightened digital transformation, companies should implement a digital strategy that can work with, and support business goals. This is why an approach that aligns full-stack observability with business context is key. Having a business lens enables technologists to understand what the desired business outcome is and where to effectively prioritize their efforts to what impacts the bottom line.

The ever-increasing amount of data that can be collected when using full-stack observability might seem daunting to make sense of. However, full-stack observability can be combined with real-time business metrics to translate what was once an overwhelming amount of data into comprehensible KPIs. In other words, full-stack observability with business context enables companies to digest the IT performance through a business lens so they can easily prioritize performance areas that are directly impacting their bottom line.

Today, the role digital services play in navigating daily life continues to be on an upward trajectory. In order for companies to drive growth and success across their business, their tech and business strategies need to be tightly aligned and focused on a common goal. As companies continue to be tasked with maintaining the performance of digital services, while also being expected to come up with new, innovative ways to grow the business, there is an eminent need for a holistic approach. Full-stack observability with business context is a clear solution that is key for overall business growth and success, as it enables companies to monitor performance across the IT stack and easily identify and address any performance anomalies, all while tying back to and encouraging growth for a company's bottom line.

Gregg Ostrowski is CTO Advisor at Cisco AppDynamics

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3 Reasons Why Full-Stack Observability Is Key to Business Growth

Gregg Ostrowski
AppDynamics

The past couple years fostered an unprecedented expansion of digital transformation initiatives and projects across nearly every industry. In order to maintain "business as usual" during the world's transition to being fully remote or hybrid, companies had to implement new digital services, or update existing ones, to allow transactions to take place online versus in person. As a result, companies' digital strategies quickly grew in significance, playing a larger role in the ultimate success of the business.

In a study of 1,200 global IT leaders, Cisco AppDynamics found that as applications have become a critical part of daily life, 98% of technologists believe it is increasingly important to connect visibility across the entire IT stack. With a higher dependency on applications, consumer expectations around the performance, reliability and innovative features of digital experiences have skyrocketed and without tools like full-stack observability in place, companies risk facing competitive disadvantages like spiraling complexity and productivity issues.

This evolution has increased the pressure on brands to make certain their digital services are performing well, and to recognize that downtime is not an option. Meanwhile, through the increased adoption of cloud services, the application topology has grown in complexity. This makes the need to identify and quickly fix anomalies that could lead to poor performance more important than ever. As a consequence, many enterprises are finding that traditional monitoring doesn't go far enough. Full-stack observability is growing in prominence as IT teams seek to easily manage application performance, solve complexity across their entire IT stack, and review each of these functions through a business lens. This article explores three key areas to consider when implementing a full-stack observability solution.

1. Make IT Performance Monitoring Easy

Companies' adoption and expansion of digital services has led to larger, more complex IT stacks, which must be monitored round-the-clock for any changes to performance that could impact customers. While most IT teams have some form of monitoring tools in place to automate this task, increased complexity has created more inefficient procedures and challenges for technologists, making it more difficult to grow the business. In fact, 70 percent of technologists are concerned that their organization is now behind industry peers in implementing observability solutions. It can be difficult to find time to innovate and grow as maintaining the performance of digital services is a full-time job itself.

With full-stack observability, companies don't have to choose between growing or maintaining app performance. Instead, they can take advantage of its sophisticated monitoring to both manage even the most complex stacks and enable room for growth. Full-stack observability automatically centralizes and correlates application performance analytics across the entire IT stack, ultimately providing companies with in-depth visibility into the behavior, performance and health of their digital services. Therefore, companies are not only alleviated of having to strictly manage the monitoring process, but they're also presented with advanced performance data that can inform future innovation and growth plans.  

2. Tackle Discrepancies in the IT Stack

In addition to in-depth insights, full-stack observability provides real-time visibility across the entire IT stack and helps technologists quickly identify and solve any discrepancies in performance, as well as pinpoint the location and cause of any incidents so companies can efficiently address the issue.

93% of technologists recognize that there is more work to be done to deploy full-stack observability within their organization in order to address complexity by easily identifying and fixing root causes of performance issues, such as lags, outages or crashes. With digital services continuing to play a significant role in daily life activities, users are more likely to notice a performance lag or outage. Consumers expect a seamless digital experience and when a company misses the mark, they risk adverse effects on brand loyalty and reputation, with the chance of never getting it back.

By deploying a full-stack observability approach, companies can avoid these strikes against their business and get ahead of performance outages before they directly impact consumers.

3. Put a Business Lens on IT Performance

When looking to maximize business growth and success during this period of heightened digital transformation, companies should implement a digital strategy that can work with, and support business goals. This is why an approach that aligns full-stack observability with business context is key. Having a business lens enables technologists to understand what the desired business outcome is and where to effectively prioritize their efforts to what impacts the bottom line.

The ever-increasing amount of data that can be collected when using full-stack observability might seem daunting to make sense of. However, full-stack observability can be combined with real-time business metrics to translate what was once an overwhelming amount of data into comprehensible KPIs. In other words, full-stack observability with business context enables companies to digest the IT performance through a business lens so they can easily prioritize performance areas that are directly impacting their bottom line.

Today, the role digital services play in navigating daily life continues to be on an upward trajectory. In order for companies to drive growth and success across their business, their tech and business strategies need to be tightly aligned and focused on a common goal. As companies continue to be tasked with maintaining the performance of digital services, while also being expected to come up with new, innovative ways to grow the business, there is an eminent need for a holistic approach. Full-stack observability with business context is a clear solution that is key for overall business growth and success, as it enables companies to monitor performance across the IT stack and easily identify and address any performance anomalies, all while tying back to and encouraging growth for a company's bottom line.

Gregg Ostrowski is CTO Advisor at Cisco AppDynamics

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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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...