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Growing Numbers of Cloud Apps Still Face Performance Challenge

Are IT teams equipped to fully embrace cloud apps and services?
Patrick Carey

The good news - Cloud apps and services continue to gain traction in enterprises with both business users and IT departments. The trend is being driven by much more than cost savings too.

The bad - Big obstacles still remain including a lack of confidence about service performance and availability, a lack of management tools and continuing concerns about data security.

These observations come from a recent survey of over 200 business executives and IT managers in North America to better understand their current and planned use of cloud-based applications and services, the drivers behind cloud adoption, and the obstacles that stand in their way. Some of the highlights include:

Both Businesses and IT Teams Plan to Use Cloud Apps

Both business and IT users surveyed indicated a major role for both Infrastructure as a Service (IaaS) and Software as a Service (SaaS) models in their future IT plans. To date, much of the usage of cloud apps has been driven by business users.

IaaS Dominates Today, But SaaS Adoption is Catching Up

While IaaS offerings like Amazon Web Services and Microsoft Azure represent a larger share of the cloud pie today, SaaS offerings are gaining ground. This includes expanding the use of established SaaS applications like Salesforce.com as well as deploying newer offerings such as Microsoft Office 365, Google Apps and Dropbox as core applications for most employees.

Cloud Use is Being Driven by More Than Cost Savings

The CapEx and OpEx benefits of cloud services are clearly understood and well documented, but adoption today is being driven by the operational agility and flexibility advantages more so than the cost benefits. The ability to deploy new services quickly and reconfigure them easily as the needs of the business change is becoming critical.

As Cloud Adoption Gains, IT Roles and Responsibilities Shift

The requirements in a cloud-based environment shift from managing apps and supporting infrastructure to coordinating and ensuring the availability of the services business users need to do their jobs. The challenge is how to manage and assure app service levels and data security for users when they don't have the same control over cloud-based services that they have over on-premise applications.

Security Concerns and Lack of IT Visibility Hamper Adoption

The biggest obstacles to cloud adoption are security concerns and a lack of confidence in app/service performance and availability. Related to this, over 40% of respondents indicate that their IT team has no tools to monitor and manage their cloud apps. Just 17% of respondents feel like their existing tools do a good job managing and monitoring their cloud-based apps.

What Should We Take From This?

It's no surprise that data security remains a primary concern with cloud deployments. Although the major service providers implement security measures that are more sophisticated than those in place within most business datacenters, businesses remain wary of the risks of storing their sensitive data in the cloud.

What may be surprising to the readers of APMdigest is the concern over cloud app performance and availability and the lack of good cloud management tools.

IT teams adopting cloud apps often find themselves in a challenging position today. Their users and business management still look to them to "own" application availability and performance even though they no longer own the application hosting environment. Unfortunately, the tools they use to manage their on-premise applications don't give them the same visibility and control in the cloud. This issue is further highlighted by the fact that nearly two-thirds of respondents indicate that their IT team either has no tools to monitor and manage their cloud apps or they simply rely on whatever health dashboard is available from their cloud service providers.

This data suggests a significant gap in systems management. Traditional tools, which have relied on direct access to servers, network equipment, log files, and APIs, are unable to effectively support cloud apps and services that do not expose those interfaces. Network management tools address part of the problem by focusing on network health, but they too are often limited in their visibility outside the company firewall and generally unable to provide insight into application/service health.

When asked how well the tools they use today address their cloud app monitoring and management needs, over 75% of the respondents indicated that they are at best, ambivalent about the tools. And more respondents feel their tools are not up to the task than feel they are.

Most mature systems management and monitoring solutions on the market today have evolved alongside the on-premise applications, operating systems, server and network infrastructure they have been used to manage. Organizations are now realizing how profoundly a cloud-centric IT architecture differs from their legacy on-premise architectures and with that how different their management and monitoring needs will be going forward. This is the key to driving cloud adoption in the enterprise and enabling businesses to take full advantage of all it has to offer.

Patrick Carey is VP Product Management & Marketing at Exoprise.

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Growing Numbers of Cloud Apps Still Face Performance Challenge

Are IT teams equipped to fully embrace cloud apps and services?
Patrick Carey

The good news - Cloud apps and services continue to gain traction in enterprises with both business users and IT departments. The trend is being driven by much more than cost savings too.

The bad - Big obstacles still remain including a lack of confidence about service performance and availability, a lack of management tools and continuing concerns about data security.

These observations come from a recent survey of over 200 business executives and IT managers in North America to better understand their current and planned use of cloud-based applications and services, the drivers behind cloud adoption, and the obstacles that stand in their way. Some of the highlights include:

Both Businesses and IT Teams Plan to Use Cloud Apps

Both business and IT users surveyed indicated a major role for both Infrastructure as a Service (IaaS) and Software as a Service (SaaS) models in their future IT plans. To date, much of the usage of cloud apps has been driven by business users.

IaaS Dominates Today, But SaaS Adoption is Catching Up

While IaaS offerings like Amazon Web Services and Microsoft Azure represent a larger share of the cloud pie today, SaaS offerings are gaining ground. This includes expanding the use of established SaaS applications like Salesforce.com as well as deploying newer offerings such as Microsoft Office 365, Google Apps and Dropbox as core applications for most employees.

Cloud Use is Being Driven by More Than Cost Savings

The CapEx and OpEx benefits of cloud services are clearly understood and well documented, but adoption today is being driven by the operational agility and flexibility advantages more so than the cost benefits. The ability to deploy new services quickly and reconfigure them easily as the needs of the business change is becoming critical.

As Cloud Adoption Gains, IT Roles and Responsibilities Shift

The requirements in a cloud-based environment shift from managing apps and supporting infrastructure to coordinating and ensuring the availability of the services business users need to do their jobs. The challenge is how to manage and assure app service levels and data security for users when they don't have the same control over cloud-based services that they have over on-premise applications.

Security Concerns and Lack of IT Visibility Hamper Adoption

The biggest obstacles to cloud adoption are security concerns and a lack of confidence in app/service performance and availability. Related to this, over 40% of respondents indicate that their IT team has no tools to monitor and manage their cloud apps. Just 17% of respondents feel like their existing tools do a good job managing and monitoring their cloud-based apps.

What Should We Take From This?

It's no surprise that data security remains a primary concern with cloud deployments. Although the major service providers implement security measures that are more sophisticated than those in place within most business datacenters, businesses remain wary of the risks of storing their sensitive data in the cloud.

What may be surprising to the readers of APMdigest is the concern over cloud app performance and availability and the lack of good cloud management tools.

IT teams adopting cloud apps often find themselves in a challenging position today. Their users and business management still look to them to "own" application availability and performance even though they no longer own the application hosting environment. Unfortunately, the tools they use to manage their on-premise applications don't give them the same visibility and control in the cloud. This issue is further highlighted by the fact that nearly two-thirds of respondents indicate that their IT team either has no tools to monitor and manage their cloud apps or they simply rely on whatever health dashboard is available from their cloud service providers.

This data suggests a significant gap in systems management. Traditional tools, which have relied on direct access to servers, network equipment, log files, and APIs, are unable to effectively support cloud apps and services that do not expose those interfaces. Network management tools address part of the problem by focusing on network health, but they too are often limited in their visibility outside the company firewall and generally unable to provide insight into application/service health.

When asked how well the tools they use today address their cloud app monitoring and management needs, over 75% of the respondents indicated that they are at best, ambivalent about the tools. And more respondents feel their tools are not up to the task than feel they are.

Most mature systems management and monitoring solutions on the market today have evolved alongside the on-premise applications, operating systems, server and network infrastructure they have been used to manage. Organizations are now realizing how profoundly a cloud-centric IT architecture differs from their legacy on-premise architectures and with that how different their management and monitoring needs will be going forward. This is the key to driving cloud adoption in the enterprise and enabling businesses to take full advantage of all it has to offer.

Patrick Carey is VP Product Management & Marketing at Exoprise.

Hot Topics

The Latest

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...

We just surveyed 300 frontend and mobile engineers across 16 countries, and the finding that keeps sticking with me isn't the one about AI. It's this: 74% of engineering teams rate themselves in the "middle" of the observability maturity scale. Not reactive, not strategic. Stuck in the middle. They have dashboards, they have tracing, they have alerts. And yet when something goes wrong, they still can't tell you why ...

In MEAN TIME TO INSIGHT Episode 25, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses  AI's impact on the Wide Area Network (WAN) ... 

Application performance monitoring (APM) dashboards are only as useful as what they are configured to measure. The default setup covers obvious failure modes such as downtime, error spikes, and latency breaches, but it does not cover everything. Some failures produce no alerts or anomalies. The dashboard stays green while users experience a broken product. Here are six signs that is happening ...

The race to deploy AI is largely over. Most enterprises have entered it. The question now is not whether artificial intelligence is running inside the organization. The question is whether anyone is genuinely responsible for what it does. That is not a technical question. It is a leadership one. And most organizations are not yet structured to answer it honestly ...

A new analysis of 250 real-world queries across common retail tasks, such as product pricing, availability, ratings, shipping and specifications, reveals systemic inefficiency at the heart of web-based AI agents. On average, 97.9% of the data retrieved by agents from live web pages is irrelevant to the query being answered. Specifically, the average page ingested ran nearly 9,000 characters, while the average answer was just 32 characters, resulting in a noise-to-signal ratio of 278:1. Price queries were the most extreme outlier, with noise rates approaching 99.5%. That's not a rounding error. That's a structural problem ...

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...