Skip to main content

Key Modernization Goal: Improve Business Resilience and Efficiency

Despite shifting digital transformation goals, enterprises are still investing heavily in IT modernization and implementing new projects, according to Digital Transformation in 2023, a report from Couchbase.

A focus on operational efficiency is influencing how global enterprises invest in digital transformation initiatives. Nearly 60% of enterprises surveyed reported that their key modernization goal is to improve business resilience and efficiency in the face of the evolving global economy.

Increased business resilience was the most common benefit from digital projects in the past 12 months, while increased profitability, employee productivity and application performance are the expected benefits for the next 12 months.

The survey of 600 senior IT decision makers found that enterprises plan to invest on average $33 million in the next 12 months. At the same time, digital transformation priorities have shifted. 78% of IT decision makers confirm their main priorities for transformation have changed in the last three years. 54% say their digital transformation focus has become more reactive to market changes and customer preferences in order to help the wider organization stay agile.

While these changes in digital transformation goals have helped businesses build resilience and weather a dynamic economy, they have not drastically slowed transformation. More than half (53%) of enterprises are either on target or ahead of their planned progress.

"IT modernization and digital transformation are vital strategic initiatives for an enterprise – whether helping to adopt new technologies like generative AI, creating new services or building resilience in times of uncertainty," said Ravi Mayuram, CTO at Couchbase. "These survey results show how an efficient approach to digital transformation, taking full advantage of advances in data, cloud and AI can help with business resiliency, and at the same time pursue new growth opportunities. And rightly so, empowering developers has emerged as a key priority for enterprises, demonstrating their commitment to innovation."

Other key findings include:

Pressure to embrace new technologies

IT leaders are most commonly under pressure from the wider business to adopt serverless computing (identified by 42% of respondents), edge computing and IoT (40%) and low- or no-code technologies (39%). And while AI demonstrates a huge promise in accelerating and transforming businesses, it is still early days.

IT teams are under less pressure today to adopt large language models (LLMs) such as ChatGPT, with 35% under pressure to adopt this technology. Web 3.0 and augmented or virtual reality were less of a priority.

Developer productivity in the spotlight

Digital transformation projects are a key focus for developers. Pressure from developers on their organizations to support agile development and innovation (44%), and empowering developers to build more applications to meet customer needs (44%) were the top two drivers behind individual transformation projects.

Furthermore, enterprises' top IT investment priority switched from improving application performance in 2021 to empowering developers in 2023.

IT spending under increased C-level scrutiny

49% of respondents say their CFO is managing budgets in more detail and asking more questions about IT investment, while 37% say the pressure to achieve transformation with less budget and staff resources has increased in the last 12 months. And 35% say their IT department is under more strain than at any point in the last five years. This suggests that IT leaders are looking for ways to show cost efficiencies and reduce total cost of ownership.

Enterprises report project challenges and delays

Issues such as a lack of buy-in within the business, an inability to secure or stay within budgets and reliance on legacy technology meant enterprises experienced projects failing, suffering delays or being canceled. This cost organizations on average $4.4 million and forced 68% of organizations facing modernization challenges to push digital transformation goals back by more than three months.

High expectations and hopes for creative modernization projects

While there have been challenges, research showed that 38% of IT teams are focusing on tangible modernization projects that will provide immediate results. Furthermore, 100% of enterprises have implemented or identified opportunities for creative digital transformation projects that seemed impossible at the end of 2021. This suggests that modern tech continues to push the boundaries of what is possible for business transformation, drive innovation and inspire new next-gen apps.

"It's clear that IT and business leaders recognize the importance of investing in modernization to drive transformation and achieve their short- and long-term goals efficiently," Mayuram concluded. "Organizations must make sure they are giving development teams the tools required to build modern, powerful and innovative applications to meet any use case in a cost-effective way. This will help them meet their customer demands faster and continue to maintain their leadership position."

The Latest

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.

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 ...

Key Modernization Goal: Improve Business Resilience and Efficiency

Despite shifting digital transformation goals, enterprises are still investing heavily in IT modernization and implementing new projects, according to Digital Transformation in 2023, a report from Couchbase.

A focus on operational efficiency is influencing how global enterprises invest in digital transformation initiatives. Nearly 60% of enterprises surveyed reported that their key modernization goal is to improve business resilience and efficiency in the face of the evolving global economy.

Increased business resilience was the most common benefit from digital projects in the past 12 months, while increased profitability, employee productivity and application performance are the expected benefits for the next 12 months.

The survey of 600 senior IT decision makers found that enterprises plan to invest on average $33 million in the next 12 months. At the same time, digital transformation priorities have shifted. 78% of IT decision makers confirm their main priorities for transformation have changed in the last three years. 54% say their digital transformation focus has become more reactive to market changes and customer preferences in order to help the wider organization stay agile.

While these changes in digital transformation goals have helped businesses build resilience and weather a dynamic economy, they have not drastically slowed transformation. More than half (53%) of enterprises are either on target or ahead of their planned progress.

"IT modernization and digital transformation are vital strategic initiatives for an enterprise – whether helping to adopt new technologies like generative AI, creating new services or building resilience in times of uncertainty," said Ravi Mayuram, CTO at Couchbase. "These survey results show how an efficient approach to digital transformation, taking full advantage of advances in data, cloud and AI can help with business resiliency, and at the same time pursue new growth opportunities. And rightly so, empowering developers has emerged as a key priority for enterprises, demonstrating their commitment to innovation."

Other key findings include:

Pressure to embrace new technologies

IT leaders are most commonly under pressure from the wider business to adopt serverless computing (identified by 42% of respondents), edge computing and IoT (40%) and low- or no-code technologies (39%). And while AI demonstrates a huge promise in accelerating and transforming businesses, it is still early days.

IT teams are under less pressure today to adopt large language models (LLMs) such as ChatGPT, with 35% under pressure to adopt this technology. Web 3.0 and augmented or virtual reality were less of a priority.

Developer productivity in the spotlight

Digital transformation projects are a key focus for developers. Pressure from developers on their organizations to support agile development and innovation (44%), and empowering developers to build more applications to meet customer needs (44%) were the top two drivers behind individual transformation projects.

Furthermore, enterprises' top IT investment priority switched from improving application performance in 2021 to empowering developers in 2023.

IT spending under increased C-level scrutiny

49% of respondents say their CFO is managing budgets in more detail and asking more questions about IT investment, while 37% say the pressure to achieve transformation with less budget and staff resources has increased in the last 12 months. And 35% say their IT department is under more strain than at any point in the last five years. This suggests that IT leaders are looking for ways to show cost efficiencies and reduce total cost of ownership.

Enterprises report project challenges and delays

Issues such as a lack of buy-in within the business, an inability to secure or stay within budgets and reliance on legacy technology meant enterprises experienced projects failing, suffering delays or being canceled. This cost organizations on average $4.4 million and forced 68% of organizations facing modernization challenges to push digital transformation goals back by more than three months.

High expectations and hopes for creative modernization projects

While there have been challenges, research showed that 38% of IT teams are focusing on tangible modernization projects that will provide immediate results. Furthermore, 100% of enterprises have implemented or identified opportunities for creative digital transformation projects that seemed impossible at the end of 2021. This suggests that modern tech continues to push the boundaries of what is possible for business transformation, drive innovation and inspire new next-gen apps.

"It's clear that IT and business leaders recognize the importance of investing in modernization to drive transformation and achieve their short- and long-term goals efficiently," Mayuram concluded. "Organizations must make sure they are giving development teams the tools required to build modern, powerful and innovative applications to meet any use case in a cost-effective way. This will help them meet their customer demands faster and continue to maintain their leadership position."

The Latest

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.

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 ...