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Financial Services Held Back by Soaring IT Complexity - Part 2

Gregg Ostrowski
AppDynamics

Start with: Financial Services Held Back by Soaring IT Complexity - Part 1

Technologists Under Intense Pressure

After more than a year of accelerated innovation, and without the tools and insights to effectively manage technology performance, many IT departments are struggling. The Agents of Transformation 2021 research brought home exactly how hard the last 12 months have hit technologists. The vast majority say they feel under intense pressure, are working longer hours and now have difficulty switching off from work, constantly worried about making a costly mistake.

Technologists in financial services are no strangers to working under pressure and have long understood the importance of delivering seamless digital experiences to customers. But over the last year, the stakes have risen to a whole new level. Technology performance and innovation have taken on another level of importance, enabling millions of people to access savings, loans and support during the most uncertain and worrying period of our lifetime.

Take retail banking for example, where almost overnight, banks had to ensure the smooth processing of millions of new government payments to workers and businesses. They've also had to protect customers, particularly the most vulnerable groups in our society, from new and increased threats of fraud and cybercrime, and implemented new lending capabilities to handle the heavy increase in loan applications from small businesses.

Unfortunately, not all are able to keep up — according to a Contrast Security report, financial services institutions are losing millions of dollars and countless hours of time, with only 25% of organizations able to successfully triage security alerts, and an overwhelming 98% have had more than three successful cyberattacks in the last 12 months.

Each of these new market dynamics, and every surge in demand, represents a major IT challenge that technologists have had to solve in real-time, aware that millions of people are dependent on them getting it right.

Technologists Primed for More Innovation but They Need the Right Tools

Technologists had no time to prepare for this once-in-a-lifetime challenge, and to make things even more difficult, they've typically been managing IT performance and collaborating with their teams while working remotely. It's little wonder that the IT department has become such a pressure cooker in most financial services organizations.

Despite ongoing challenges and high-pressure environments, technologists in financial services remain motivated and enthusiastic about the year ahead. They consider the next 12 months as a defining moment for them professionally and a chance to make their mark.

Unfortunately, many feel held back in their efforts to drive innovation, unable to maximize the impact of digital transformation and create their own legacy. 81% feel that they are being hindered in their efforts to perform at a higher level because they are unable to connect IT performance with business outcomes. Shockingly, for an industry that has always been at the forefront of technology innovation, this figure was higher than in any other sector analyzed in the Agents of Transformation 2021 report.

There needs to be a moment of realization for business and IT leaders in the financial services sector, and soon. They have to start providing their IT teams with the tools and insight they need to cut through complexity and data noise, and prioritize actions based on what really matters to the business. Without this, technologists won't be able to do their jobs and financial institutions risk wasting their past and future investments in digital transformation.

Gregg Ostrowski is CTO Advisor at Cisco AppDynamics

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.

Financial Services Held Back by Soaring IT Complexity - Part 2

Gregg Ostrowski
AppDynamics

Start with: Financial Services Held Back by Soaring IT Complexity - Part 1

Technologists Under Intense Pressure

After more than a year of accelerated innovation, and without the tools and insights to effectively manage technology performance, many IT departments are struggling. The Agents of Transformation 2021 research brought home exactly how hard the last 12 months have hit technologists. The vast majority say they feel under intense pressure, are working longer hours and now have difficulty switching off from work, constantly worried about making a costly mistake.

Technologists in financial services are no strangers to working under pressure and have long understood the importance of delivering seamless digital experiences to customers. But over the last year, the stakes have risen to a whole new level. Technology performance and innovation have taken on another level of importance, enabling millions of people to access savings, loans and support during the most uncertain and worrying period of our lifetime.

Take retail banking for example, where almost overnight, banks had to ensure the smooth processing of millions of new government payments to workers and businesses. They've also had to protect customers, particularly the most vulnerable groups in our society, from new and increased threats of fraud and cybercrime, and implemented new lending capabilities to handle the heavy increase in loan applications from small businesses.

Unfortunately, not all are able to keep up — according to a Contrast Security report, financial services institutions are losing millions of dollars and countless hours of time, with only 25% of organizations able to successfully triage security alerts, and an overwhelming 98% have had more than three successful cyberattacks in the last 12 months.

Each of these new market dynamics, and every surge in demand, represents a major IT challenge that technologists have had to solve in real-time, aware that millions of people are dependent on them getting it right.

Technologists Primed for More Innovation but They Need the Right Tools

Technologists had no time to prepare for this once-in-a-lifetime challenge, and to make things even more difficult, they've typically been managing IT performance and collaborating with their teams while working remotely. It's little wonder that the IT department has become such a pressure cooker in most financial services organizations.

Despite ongoing challenges and high-pressure environments, technologists in financial services remain motivated and enthusiastic about the year ahead. They consider the next 12 months as a defining moment for them professionally and a chance to make their mark.

Unfortunately, many feel held back in their efforts to drive innovation, unable to maximize the impact of digital transformation and create their own legacy. 81% feel that they are being hindered in their efforts to perform at a higher level because they are unable to connect IT performance with business outcomes. Shockingly, for an industry that has always been at the forefront of technology innovation, this figure was higher than in any other sector analyzed in the Agents of Transformation 2021 report.

There needs to be a moment of realization for business and IT leaders in the financial services sector, and soon. They have to start providing their IT teams with the tools and insight they need to cut through complexity and data noise, and prioritize actions based on what really matters to the business. Without this, technologists won't be able to do their jobs and financial institutions risk wasting their past and future investments in digital transformation.

Gregg Ostrowski is CTO Advisor at Cisco AppDynamics

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.