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7 Takeaways on the State of Observability in Financial Services and Insurance

Peter Pezaris
New Relic

In 2023, New Relic conducted a study to learn more about observability’s impact on businesses and the technical professionals behind them. The observability forecast surveyed professionals across numerous industries and geographic locations to better understand the current state of observability. Of the 1,700 tech practitioners and decision makers surveyed, 176 were associated with the financial and insurance industries.

This year, New Relic published the State of Observability for Financial Services and Insurance Report to share insights derived from the 2023 Observability Forecast on the adoption and business value of observability across the financial services industry (FSI) and insurance sectors.


Source: New Relic

Here are seven key takeaways from the report:

1. Observability is Critical to Top Technology Strategies and Trends

Companies are learning the importance of investing in observability, with 54% of financial and insurance organizations reporting that the need for observability stems from an increased focus on security, governance, risk, and compliance given the complex regulatory requirements in the industry. Other drivers included shifting to a multi-cloud environment (43%), adoption of artificial intelligence (AI) technologies (40%), and development of cloud-native application architectures (38%).

2. Observability Adoption is Gaining Momentum

To better manage complex offerings, 38% of financial institutions have already deployed full-stack observability. Financial services and insurance organizations have also widely adopted observability capabilities within backend monitoring, with 75% applying infrastructure monitoring and 63% utilizing application performance monitoring (APM). In the next two years, 93% of respondents expected to have deployed infrastructure monitoring, and 89% expected to have adopted APM.

3. Organizations Prefer a Unified View of their Tech Stacks

Financial and insurance companies aim to reduce the number of observability tools used with over half of respondents (52%) reporting a preference for a consolidated platform. However, 43% of respondents still considered their telemetry data siloed. With that said, 42% shared that their organization is likely to adopt a more consolidated approach for observability tools in the next year. Over the past year, the proportion of financial and insurance companies using a single tool has grown from .3% to 4.5% — a 15-fold increase.

4. Managing Outages and Decreasing Cost Requires Observability

Time is of the essence when resolving high-business-impact outages, with more than a third (35%) of financial services and insurance respondents reporting a loss of more than $500,000 per hour. Of the respondents who reported a mean time to detect (MTTD) of 30 minutes or less, 51% had adopted full-stack observability, and 64% of those who utilize full-stack observability said that mean time to resolve (MTTR) has improved.

5. Successful Tech Stack Monitoring Comes at a Cost

Respondents from financial and insurance organizations reported higher spending on observability tools than other industries, with nearly half (49%) spending $500,000 or more per year on observability, and 31% dishing out $1 million or more per year.

6. Observability Enhances Business Success

Organization values increased as a result of observability investments, with over half (52%) reporting more than $500,000, and 41% noting a total value of $1 million or more. Nearly half (47%) of IT decision makers said observability helps them to achieve business key performance indicators (KPIs), and 45% of practitioners reported increased productivity. Overall benefits of adopting an observability platform included improved system uptime and reliability (46%), increased operational efficiency (42%), and an improved real-user experience (31%).

7. The Future of Observability is Bright

Observability within the FSI and insurance industries will continue to rapidly grow in the coming years. An overwhelming majority of respondents (96%) expected to have deployed security monitoring in the next two years, followed by alerts and network monitoring (both 94%). In the next year, 42% said they planned to train staff on best practices for observability, and 43% predicted tool consolidation.

Peter Pezaris is Chief Design and Strategy Officer at New Relic

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7 Takeaways on the State of Observability in Financial Services and Insurance

Peter Pezaris
New Relic

In 2023, New Relic conducted a study to learn more about observability’s impact on businesses and the technical professionals behind them. The observability forecast surveyed professionals across numerous industries and geographic locations to better understand the current state of observability. Of the 1,700 tech practitioners and decision makers surveyed, 176 were associated with the financial and insurance industries.

This year, New Relic published the State of Observability for Financial Services and Insurance Report to share insights derived from the 2023 Observability Forecast on the adoption and business value of observability across the financial services industry (FSI) and insurance sectors.


Source: New Relic

Here are seven key takeaways from the report:

1. Observability is Critical to Top Technology Strategies and Trends

Companies are learning the importance of investing in observability, with 54% of financial and insurance organizations reporting that the need for observability stems from an increased focus on security, governance, risk, and compliance given the complex regulatory requirements in the industry. Other drivers included shifting to a multi-cloud environment (43%), adoption of artificial intelligence (AI) technologies (40%), and development of cloud-native application architectures (38%).

2. Observability Adoption is Gaining Momentum

To better manage complex offerings, 38% of financial institutions have already deployed full-stack observability. Financial services and insurance organizations have also widely adopted observability capabilities within backend monitoring, with 75% applying infrastructure monitoring and 63% utilizing application performance monitoring (APM). In the next two years, 93% of respondents expected to have deployed infrastructure monitoring, and 89% expected to have adopted APM.

3. Organizations Prefer a Unified View of their Tech Stacks

Financial and insurance companies aim to reduce the number of observability tools used with over half of respondents (52%) reporting a preference for a consolidated platform. However, 43% of respondents still considered their telemetry data siloed. With that said, 42% shared that their organization is likely to adopt a more consolidated approach for observability tools in the next year. Over the past year, the proportion of financial and insurance companies using a single tool has grown from .3% to 4.5% — a 15-fold increase.

4. Managing Outages and Decreasing Cost Requires Observability

Time is of the essence when resolving high-business-impact outages, with more than a third (35%) of financial services and insurance respondents reporting a loss of more than $500,000 per hour. Of the respondents who reported a mean time to detect (MTTD) of 30 minutes or less, 51% had adopted full-stack observability, and 64% of those who utilize full-stack observability said that mean time to resolve (MTTR) has improved.

5. Successful Tech Stack Monitoring Comes at a Cost

Respondents from financial and insurance organizations reported higher spending on observability tools than other industries, with nearly half (49%) spending $500,000 or more per year on observability, and 31% dishing out $1 million or more per year.

6. Observability Enhances Business Success

Organization values increased as a result of observability investments, with over half (52%) reporting more than $500,000, and 41% noting a total value of $1 million or more. Nearly half (47%) of IT decision makers said observability helps them to achieve business key performance indicators (KPIs), and 45% of practitioners reported increased productivity. Overall benefits of adopting an observability platform included improved system uptime and reliability (46%), increased operational efficiency (42%), and an improved real-user experience (31%).

7. The Future of Observability is Bright

Observability within the FSI and insurance industries will continue to rapidly grow in the coming years. An overwhelming majority of respondents (96%) expected to have deployed security monitoring in the next two years, followed by alerts and network monitoring (both 94%). In the next year, 42% said they planned to train staff on best practices for observability, and 43% predicted tool consolidation.

Peter Pezaris is Chief Design and Strategy Officer at New Relic

Hot Topics

The Latest

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 ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...