Skip to main content

Pandemic Continues to Drive Digital Transformation

Companies have significantly sped up their digital transformation efforts in the past year, a theme anticipated to persist beyond the pandemic, according to the 2021 State of Application Strategy from F5. With limited in-person interactions, applications — and the digital experiences they facilitate — have become synonymous with an organization's presence and ability to thrive.


"This year's report highlights the many contrasting priorities that IT teams are currently facing. Of course, there's the familiar one of flexibility and convenience versus security, but then you also have organizations generating an immense amount of data while seeking ways to extract meaningful insights from that data," said Kara Sprague, EVP and GM, BIG-IP at F5. "Similarly, we find companies relying more on automation to reduce operating costs while increasingly tailoring applications for customer-centric digital experiences. Many of these are a function of the speed in which the industry has responded to COVID — in that it forced a myriad of operational considerations, concerns and opportunities to be addressed simultaneously almost overnight."

Improving connectivity, reducing latency, ensuring security, and leveraging data insights are now even more essential, as IT teams have found it nearly impossible to keep pace with the rate of change and digitization of experiences.

Moreover, while microservices, APIs, and containers may accelerate individual application rollouts from a DevOps perspective, the reach and pervasiveness of modern apps has also resulted in heightened complexity — with many organizations lacking the skill sets to truly streamline deployments. This is especially the case when managing broader application portfolios that span multiple generations of application architectures.

Correspondingly, this new research centers on the following four trends, pointing to an elevated interest in cloud and as-a-service offerings, edge computing, and application security and delivery technologies that require less expertise to deploy and manage while providing out-of-the-box insights.

1. Continued Modernization of Apps and Architectures to Enable Better Digital Experiences

According to the survey, 87% of organizations operate both modern and traditional architectures, with modernization deemed necessary when legacy systems are too rigid to adapt to rapidly changing business conditions.

More than three-quarters of respondents (77%) reported that they are presently modernizing internal or customer-facing applications, with APIs as the primary method given their ability to combine capabilities of traditional and modern application components.

In addition, the percentage of organizations maintaining multiple app architectures is growing, with the survey also affirming that as-a-service and managed service offerings continue to be viewed as replacements for some applications where vendors can provide cloud-friendly alternatives.

2. The Rise of the Edge as Containerization Expands

Edge computing generally refers to operations performed outside of a centralized data center. With employees and consumers logging on from increasingly distributed locations, edge computing has been identified as a significant means to reduce latency and increase the real-time responsiveness required by today's applications.

Accordingly, the edge must evolve to better support modular application components such as containers residing across multiple cloud locations. In addition to promoting faster and more efficient deployments, placing containerized applications at the edge can improve scalability and the customer experience.

Demonstrating an appetite for these advantages, survey results note that 76% of organizations have implemented or are actively planning edge deployments, with improving application performance and collecting data/enabling analytics as the primary drivers.

3. Accelerating Growth in SaaS and Cloud Deployments, Balancing Flexibility and Security

With the percentage of applications deployed in the cloud rising‚ more than two-thirds of respondents (68%) are also hosting at least some of their application security and delivery technologies in the cloud.

Simultaneously, organizations are positioning themselves to address the architectural complexity that results from adding SaaS and edge solutions, maintaining on-premises and multi-cloud environments, and modernizing applications.

Successful integration of these elements within a cohesive application strategy will require up-leveling how tools, skill sets, IT processes, and analytics are applied across dynamic architectures. Security continues to be a key driver, with efforts to stay ahead of attackers frequently requiring capabilities beyond what organizations have the resources to manage on premises.

Further highlighting this challenge, SaaS for security was identified as the top strategic trend among survey respondents.

4. The Importance of Telemetry in Meeting Evolving Customer and Business Expectations

Harnessing telemetry to turn large volumes of data into business insights is essential for adaptive applications. Even still, an overwhelming 95% of respondents believe they are missing insights related to performance, security, and availability, indicating a desire for a much clearer end-to-end picture than their current monitoring and analytics solutions provide.

Individuals across organizational roles were in uniform agreement on the topic, citing the top three insights missed as: the root cause of application issues; performance degradation causes; and potential attack details.

In parallel, nearly three-quarters of respondents intend to leverage AI to better utilize telemetry data, and more than half are looking toward AI to help their organizations transition to applications that can automatically adapt to better defend themselves and respond to changing conditions.

Methodology: The report represents more than 1,500 respondents worldwide from a breadth of industries, organization sizes, and professional roles. Fundamentally, the survey focused on IT decision-makers to best highlight the priorities, concerns, and expectations of those most responsible for meeting the toughest challenges of today's digital economy. Together, their responses form a compelling perspective of how organizations are evolving application strategies to better serve the current and anticipated needs of customers.

The Latest

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 ...

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 ...

Pandemic Continues to Drive Digital Transformation

Companies have significantly sped up their digital transformation efforts in the past year, a theme anticipated to persist beyond the pandemic, according to the 2021 State of Application Strategy from F5. With limited in-person interactions, applications — and the digital experiences they facilitate — have become synonymous with an organization's presence and ability to thrive.


"This year's report highlights the many contrasting priorities that IT teams are currently facing. Of course, there's the familiar one of flexibility and convenience versus security, but then you also have organizations generating an immense amount of data while seeking ways to extract meaningful insights from that data," said Kara Sprague, EVP and GM, BIG-IP at F5. "Similarly, we find companies relying more on automation to reduce operating costs while increasingly tailoring applications for customer-centric digital experiences. Many of these are a function of the speed in which the industry has responded to COVID — in that it forced a myriad of operational considerations, concerns and opportunities to be addressed simultaneously almost overnight."

Improving connectivity, reducing latency, ensuring security, and leveraging data insights are now even more essential, as IT teams have found it nearly impossible to keep pace with the rate of change and digitization of experiences.

Moreover, while microservices, APIs, and containers may accelerate individual application rollouts from a DevOps perspective, the reach and pervasiveness of modern apps has also resulted in heightened complexity — with many organizations lacking the skill sets to truly streamline deployments. This is especially the case when managing broader application portfolios that span multiple generations of application architectures.

Correspondingly, this new research centers on the following four trends, pointing to an elevated interest in cloud and as-a-service offerings, edge computing, and application security and delivery technologies that require less expertise to deploy and manage while providing out-of-the-box insights.

1. Continued Modernization of Apps and Architectures to Enable Better Digital Experiences

According to the survey, 87% of organizations operate both modern and traditional architectures, with modernization deemed necessary when legacy systems are too rigid to adapt to rapidly changing business conditions.

More than three-quarters of respondents (77%) reported that they are presently modernizing internal or customer-facing applications, with APIs as the primary method given their ability to combine capabilities of traditional and modern application components.

In addition, the percentage of organizations maintaining multiple app architectures is growing, with the survey also affirming that as-a-service and managed service offerings continue to be viewed as replacements for some applications where vendors can provide cloud-friendly alternatives.

2. The Rise of the Edge as Containerization Expands

Edge computing generally refers to operations performed outside of a centralized data center. With employees and consumers logging on from increasingly distributed locations, edge computing has been identified as a significant means to reduce latency and increase the real-time responsiveness required by today's applications.

Accordingly, the edge must evolve to better support modular application components such as containers residing across multiple cloud locations. In addition to promoting faster and more efficient deployments, placing containerized applications at the edge can improve scalability and the customer experience.

Demonstrating an appetite for these advantages, survey results note that 76% of organizations have implemented or are actively planning edge deployments, with improving application performance and collecting data/enabling analytics as the primary drivers.

3. Accelerating Growth in SaaS and Cloud Deployments, Balancing Flexibility and Security

With the percentage of applications deployed in the cloud rising‚ more than two-thirds of respondents (68%) are also hosting at least some of their application security and delivery technologies in the cloud.

Simultaneously, organizations are positioning themselves to address the architectural complexity that results from adding SaaS and edge solutions, maintaining on-premises and multi-cloud environments, and modernizing applications.

Successful integration of these elements within a cohesive application strategy will require up-leveling how tools, skill sets, IT processes, and analytics are applied across dynamic architectures. Security continues to be a key driver, with efforts to stay ahead of attackers frequently requiring capabilities beyond what organizations have the resources to manage on premises.

Further highlighting this challenge, SaaS for security was identified as the top strategic trend among survey respondents.

4. The Importance of Telemetry in Meeting Evolving Customer and Business Expectations

Harnessing telemetry to turn large volumes of data into business insights is essential for adaptive applications. Even still, an overwhelming 95% of respondents believe they are missing insights related to performance, security, and availability, indicating a desire for a much clearer end-to-end picture than their current monitoring and analytics solutions provide.

Individuals across organizational roles were in uniform agreement on the topic, citing the top three insights missed as: the root cause of application issues; performance degradation causes; and potential attack details.

In parallel, nearly three-quarters of respondents intend to leverage AI to better utilize telemetry data, and more than half are looking toward AI to help their organizations transition to applications that can automatically adapt to better defend themselves and respond to changing conditions.

Methodology: The report represents more than 1,500 respondents worldwide from a breadth of industries, organization sizes, and professional roles. Fundamentally, the survey focused on IT decision-makers to best highlight the priorities, concerns, and expectations of those most responsible for meeting the toughest challenges of today's digital economy. Together, their responses form a compelling perspective of how organizations are evolving application strategies to better serve the current and anticipated needs of customers.

The Latest

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 ...

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 ...