Skip to main content

The Future of Big Data APM in 2022

Recent data shows that the global APM (application performance management) market is booming. Currently valued at $6.3 billion, the global APM industry is expected to reach $12 billion by 2026. This growth indicates the increasing importance of monitoring, diagnosing, and improving application performance.

Visibility and automation is key to sustaining the growth and evolution of APM. Speaking to APMdigest, Pepperdata CEO Ash Munshi delved deeper into why he thinks visibility and automation are the future of APM well into 2022.

The Big Shift to the Cloud Continues

By the end of 2021, nearly 70% of all enterprises' infrastructure was slated to become cloud based. By now, more than 80% of business organizations say they already have implemented or are planning to implement a multi-cloud strategy. In addition, 82% of workloads will be moved to the cloud.

Drivers of this shift include the ubiquity of mobile devices, as well as the growing need for online collaboration, remote work, and new digital services to support a hybrid workforce. Recent disruptions and the need to accelerate digital transformation hard pressed 90% of enterprises to increase their cloud usage.

Ash Munshi expects to see this trend continue to expand in 2022. Global cloud adoption will continue on a very rapid and massive scale in the immediate future. Global spend on public cloud services will go over $480 billion in 2022.

The Cloud's Complexity Will Grow, Too

"In the beginning, the cloud made everything easier. However, cloud complexity has increased dramatically," Ash Munshi told APMdigest. Enterprises are forced to increase their spending because they failed to anticipate the extra capacity needed to run their current cloud-based applications. As their cloud usage intensifies, so do the compute requirements of their applications and workloads.

Some key reasons why organizations accelerate their cloud migration are reducing their headcount, eliminating the difficulties of accessing data center facilities, and avoiding hardware supply chain delays.

However, many enterprises fail to realize how extremely complex cloud computing is. This has caused organizations to exceed their cloud budget by as much as 40%. In very extreme cases, enterprises that can't handle the challenges of cloud computing are forced to repatriate workloads and applications to their previous settings.

Adding to the cloud's complexity is the daunting number of application stack choices. Enterprises not only struggle to pick the right cloud vendor and the ideal application stack to run, but the current crop of APM solutions are also lacking the visibility and depth needed to help them fully optimize their cloud infrastructure, improve the performance of their big data stacks, and enjoy the promised benefits of cloud computing.

"For compute, there are over 400 different instance types on AWS alone. Add on to that a hybrid solution, and the choices companies need to make to move their data and application explodes," Munshi lamented. Managing application performance in the cloud while staying within their budget is also a formidable challenge for many enterprises.

The Future of APM

The increasing ubiquity of cloud computing and big data, along with its growing complications, necessitate a big overhaul in approach.

"Our approach to the cloud and application performance management must change in response," Ash emphasized.

According to Pepperdata's recent survey, approximately 42% of enterprises rely on their cloud vendors' solutions to monitor their cloud processes and manage their application performance. But this is problematic, as most APM tools are designed to track and measure surface metrics. These solutions don't have the depth and granularity needed by enterprises to look at the application level and truly perform powerful resource allocation and performance optimization at scale.

But Ash Munshi believes that enterprises will recognize this stumbling block and evolve their approach to APM.

The Impact of Visibility and Automation on APM

Most APM tools on the market don't have comprehensive, application-level visibility. When you can't see into your applications, their performance, resource utilization, and more, you can't gain deeper context into your applications. Your big data stack in the cloud is riddled with blind spots.

In one of our earlier surveys, 64% of enterprises highlighted "cost management and containment" as their biggest, most pressing concern with running cloud big data stacks and applications. On top of that, the majority of respondents said they wanted to "better optimize current cloud resources."

"This research shows us the importance of visibility into big data workloads. It also highlights the need for automated optimization as a means to control runaway costs," Ash stressed. APM tools that provide users with visibility and automated optimization help in getting their cloud costs under control.

"Future APM solutions will no longer be just about debugging and tuning on an application-by-application basis," Ash told APMDigest. "The future of application performance management needs visibility and automation to manage your compute, software stack, and ensure that your costs are within budget."

Hot Topics

The Latest

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...

The Future of Big Data APM in 2022

Recent data shows that the global APM (application performance management) market is booming. Currently valued at $6.3 billion, the global APM industry is expected to reach $12 billion by 2026. This growth indicates the increasing importance of monitoring, diagnosing, and improving application performance.

Visibility and automation is key to sustaining the growth and evolution of APM. Speaking to APMdigest, Pepperdata CEO Ash Munshi delved deeper into why he thinks visibility and automation are the future of APM well into 2022.

The Big Shift to the Cloud Continues

By the end of 2021, nearly 70% of all enterprises' infrastructure was slated to become cloud based. By now, more than 80% of business organizations say they already have implemented or are planning to implement a multi-cloud strategy. In addition, 82% of workloads will be moved to the cloud.

Drivers of this shift include the ubiquity of mobile devices, as well as the growing need for online collaboration, remote work, and new digital services to support a hybrid workforce. Recent disruptions and the need to accelerate digital transformation hard pressed 90% of enterprises to increase their cloud usage.

Ash Munshi expects to see this trend continue to expand in 2022. Global cloud adoption will continue on a very rapid and massive scale in the immediate future. Global spend on public cloud services will go over $480 billion in 2022.

The Cloud's Complexity Will Grow, Too

"In the beginning, the cloud made everything easier. However, cloud complexity has increased dramatically," Ash Munshi told APMdigest. Enterprises are forced to increase their spending because they failed to anticipate the extra capacity needed to run their current cloud-based applications. As their cloud usage intensifies, so do the compute requirements of their applications and workloads.

Some key reasons why organizations accelerate their cloud migration are reducing their headcount, eliminating the difficulties of accessing data center facilities, and avoiding hardware supply chain delays.

However, many enterprises fail to realize how extremely complex cloud computing is. This has caused organizations to exceed their cloud budget by as much as 40%. In very extreme cases, enterprises that can't handle the challenges of cloud computing are forced to repatriate workloads and applications to their previous settings.

Adding to the cloud's complexity is the daunting number of application stack choices. Enterprises not only struggle to pick the right cloud vendor and the ideal application stack to run, but the current crop of APM solutions are also lacking the visibility and depth needed to help them fully optimize their cloud infrastructure, improve the performance of their big data stacks, and enjoy the promised benefits of cloud computing.

"For compute, there are over 400 different instance types on AWS alone. Add on to that a hybrid solution, and the choices companies need to make to move their data and application explodes," Munshi lamented. Managing application performance in the cloud while staying within their budget is also a formidable challenge for many enterprises.

The Future of APM

The increasing ubiquity of cloud computing and big data, along with its growing complications, necessitate a big overhaul in approach.

"Our approach to the cloud and application performance management must change in response," Ash emphasized.

According to Pepperdata's recent survey, approximately 42% of enterprises rely on their cloud vendors' solutions to monitor their cloud processes and manage their application performance. But this is problematic, as most APM tools are designed to track and measure surface metrics. These solutions don't have the depth and granularity needed by enterprises to look at the application level and truly perform powerful resource allocation and performance optimization at scale.

But Ash Munshi believes that enterprises will recognize this stumbling block and evolve their approach to APM.

The Impact of Visibility and Automation on APM

Most APM tools on the market don't have comprehensive, application-level visibility. When you can't see into your applications, their performance, resource utilization, and more, you can't gain deeper context into your applications. Your big data stack in the cloud is riddled with blind spots.

In one of our earlier surveys, 64% of enterprises highlighted "cost management and containment" as their biggest, most pressing concern with running cloud big data stacks and applications. On top of that, the majority of respondents said they wanted to "better optimize current cloud resources."

"This research shows us the importance of visibility into big data workloads. It also highlights the need for automated optimization as a means to control runaway costs," Ash stressed. APM tools that provide users with visibility and automated optimization help in getting their cloud costs under control.

"Future APM solutions will no longer be just about debugging and tuning on an application-by-application basis," Ash told APMDigest. "The future of application performance management needs visibility and automation to manage your compute, software stack, and ensure that your costs are within budget."

Hot Topics

The Latest

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...