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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

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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 ...

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