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The State of Application Services 2020

Many organizations are starting to realize the benefits of increased scale and velocity of application deployment in their businesses, according to the 2020 State of Application Services report from F5 Networks.


This value, however, can bring significant complexity as organizations maintain legacy infrastructure while increasingly relying on multiple public and private clouds, implement modern application architectures, and face an evolving and sophisticated threat landscape.

At the same time, organizations are adopting more application services designed to accelerate deployment in public cloud and container-native environments, like service mesh and ingress control. Survey data indicates this trend will accelerate as organizations become proficient in harnessing the data their application ecosystem delivers — creating advanced analytics capabilities and better business outcomes.

"Applications are not just the most valuable asset in the modern enterprise, they are the vehicle organizations rely on to deliver differentiated digital experiences to their customers," said Kara Sprague, EVP and GM, BIG-IP at F5. "This year’s report explores the ways application services are an increasingly critical component at each stage of the application lifecycle. From the code that makes up the business logic of an application to the experience on an end user’s device, application services ensure businesses can build, deploy, and manage applications across environments securely and at scale."

The report — which reflects input from nearly 2,600 respondents globally across a range of industries, company sizes, and roles — shows that as companies manage legacy, multi-cloud, hybrid-cloud, and modern architectures to deliver applications, their requirements for app services are also evolving. To address limited skill sets and integration challenges, organizations are choosing open ecosystems that offer standardization.

The report examines 5 key findings:

Digital Transformation

80% of organizations are executing on digital transformation — with increasing emphasis on accelerating speed to market.

As organizations progress through digital transformation initiatives, IT and business process optimization initiatives mature. Many organizations have moved beyond the basics of business process automation and are now scaling their digital footprint with cloud, containers, and orchestration. This in turn is driving the creation of new ecosystems and massive growth in API call volumes.

Multi-Cloud

87% of organizations are multi-cloud and most still struggle with security.

Organizations are leveraging the public cloud to participate in industry ecosystems, take advantage of cloud-native architectures, and deliver applications at the speed of the business. However, organizations are much less confident in their ability to withstand an application-layer attack in the public cloud versus an on-premises data center. This discrepancy illustrates a growing need for easy-to-deploy solutions that can ensure consistent security across multiple environments.

Automating the Network

73% of organizations are automating the network to boost efficiency.

Unsurprisingly, given the primary drivers of digital transformation — IT and business process optimization — the majority of organizations are automating the network. Despite challenges, organizations are gaining proficiency and moving toward continuous deployment with more consistent automation across all key pipeline components: app infrastructure, app services, network, and security.

Cloud Native

69% of organizations are using 10 or more application services.

As newer cloud-native application architectures mature and scale, a higher percentage of organizations are deploying related app services such as ingress control and service discovery both on premises and in the public cloud. A modern application landscape requires modern app services to support scale, security, and availability requirements.

IT Ops and DevOps

63% of organizations still place primary responsibility for app services with IT operations, yet more than half of those surveyed are also moving to DevOps-inspired teams.

Operations and infrastructure teams continue to shoulder primary responsibility for selecting and deploying application services. However, as organizations expand their cloud- and container-native app portfolios, DevOps groups are taking more responsibility for app services.

The Latest

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...

The State of Application Services 2020

Many organizations are starting to realize the benefits of increased scale and velocity of application deployment in their businesses, according to the 2020 State of Application Services report from F5 Networks.


This value, however, can bring significant complexity as organizations maintain legacy infrastructure while increasingly relying on multiple public and private clouds, implement modern application architectures, and face an evolving and sophisticated threat landscape.

At the same time, organizations are adopting more application services designed to accelerate deployment in public cloud and container-native environments, like service mesh and ingress control. Survey data indicates this trend will accelerate as organizations become proficient in harnessing the data their application ecosystem delivers — creating advanced analytics capabilities and better business outcomes.

"Applications are not just the most valuable asset in the modern enterprise, they are the vehicle organizations rely on to deliver differentiated digital experiences to their customers," said Kara Sprague, EVP and GM, BIG-IP at F5. "This year’s report explores the ways application services are an increasingly critical component at each stage of the application lifecycle. From the code that makes up the business logic of an application to the experience on an end user’s device, application services ensure businesses can build, deploy, and manage applications across environments securely and at scale."

The report — which reflects input from nearly 2,600 respondents globally across a range of industries, company sizes, and roles — shows that as companies manage legacy, multi-cloud, hybrid-cloud, and modern architectures to deliver applications, their requirements for app services are also evolving. To address limited skill sets and integration challenges, organizations are choosing open ecosystems that offer standardization.

The report examines 5 key findings:

Digital Transformation

80% of organizations are executing on digital transformation — with increasing emphasis on accelerating speed to market.

As organizations progress through digital transformation initiatives, IT and business process optimization initiatives mature. Many organizations have moved beyond the basics of business process automation and are now scaling their digital footprint with cloud, containers, and orchestration. This in turn is driving the creation of new ecosystems and massive growth in API call volumes.

Multi-Cloud

87% of organizations are multi-cloud and most still struggle with security.

Organizations are leveraging the public cloud to participate in industry ecosystems, take advantage of cloud-native architectures, and deliver applications at the speed of the business. However, organizations are much less confident in their ability to withstand an application-layer attack in the public cloud versus an on-premises data center. This discrepancy illustrates a growing need for easy-to-deploy solutions that can ensure consistent security across multiple environments.

Automating the Network

73% of organizations are automating the network to boost efficiency.

Unsurprisingly, given the primary drivers of digital transformation — IT and business process optimization — the majority of organizations are automating the network. Despite challenges, organizations are gaining proficiency and moving toward continuous deployment with more consistent automation across all key pipeline components: app infrastructure, app services, network, and security.

Cloud Native

69% of organizations are using 10 or more application services.

As newer cloud-native application architectures mature and scale, a higher percentage of organizations are deploying related app services such as ingress control and service discovery both on premises and in the public cloud. A modern application landscape requires modern app services to support scale, security, and availability requirements.

IT Ops and DevOps

63% of organizations still place primary responsibility for app services with IT operations, yet more than half of those surveyed are also moving to DevOps-inspired teams.

Operations and infrastructure teams continue to shoulder primary responsibility for selecting and deploying application services. However, as organizations expand their cloud- and container-native app portfolios, DevOps groups are taking more responsibility for app services.

The Latest

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...