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Multi-Tenancy in an APM Context

Ivar Sagemo

No topic in IT today is hotter than cloud computing. And I find it interesting how the rapid adoption of cloud platforms has led to a reinvention of how many IT applications and services work at a fairly deep level — certainly including those in my own area of APM.

Multi-tenancy, for instance, is a concept that has really come into vogue with the advent of public cloud platforms. A public cloud is by definition a shared architecture. This means an indefinite number of users (tenants) may be utilizing it at any given time. For all of those customers, the cloud provider wants to offer key services such as authentication, resource tracking, information management, policy creation, etc. It's only a question of what the most efficient way to accomplish this might be.

The most obvious idea would be to create a new instance of each service for each client. In this scenario, if the cloud has a thousand current clients, it also has a thousand iterations of a given service running simultaneously. Such an approach would be technically viable, but operationally wasteful — enormously complex, and therefore relatively slow and awkward to manage.

Multi-tenancy takes a different approach altogether. Instead of deploying new instances on a one-to-one basis with customers, the cloud host only needs to deploy one instance of a core application in total. That one instance, thanks to its sophisticated design, can then scale to support as many cloud customers as are necessary, logically sandboxing their data so as to keep them all completely separate from each other (even though the cloud architecture is in fact shared).

From the perspective of the cloud host, this approach is substantially superior. It is operationally much simpler to install, integrate, and manage one instance instead of many. And from the perspective of the cloud customer, the benefits are just as impressive. A customer who is interested in APM (Application Performance Management) capabilities, for example, can get them without ever having to worry about buying, deploying, or managing an actual APM solution. All that's required is contracting with a cloud provider who offers them.

Imagine an organization that manages a fleet of cruise ships. Each ship offers its own logical services, based on its own information; for each ship, separate APM considerations apply. Such an organization might solve that problem by purchasing, rolling out, and continually managing an APM solution in-house, but after all, IT infrastructure and IT service management isn't this organization's core strength; cruise ship management is. After all, APM on a moving target is tricky.

Now imagine that this organization discovers APM capabilities can be obtained from a trusted cloud provider, and that those capabilities will scale naturally to any number of ships. This may well prove the more attractive option of the two.

Setup time per server: roughly five minutes to install an agent. And because the cloud provider bills on a utility basis, the organization will only be charged in proportion to actual service usage. All the benefits of modern APM are thus achieved, yet the costs and complexity involved are relatively low.

Naturally, this does put a bit more burden on the APM solution developer! Re-coding an application to support multi-tenancy in cloud architecture is not a trivial feat of software engineering.

But for developers willing to put in the time, the benefits generated in the marketplace are clearly worth the effort:

• A broader range of service/software models, including both traditional and SaaS models, from which customers can easily choose to meet their needs

• A more direct focus on the core mission and less worry about IT infrastructure and overhead

• And for cloud hosts, simplified management, reduced costs and complexity, and a faster response to changing business conditions

For developer and organizations alike it’s a WIN-WIN situation.

Ivar Sagemo is CEO of AIMS Innovation.

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Multi-Tenancy in an APM Context

Ivar Sagemo

No topic in IT today is hotter than cloud computing. And I find it interesting how the rapid adoption of cloud platforms has led to a reinvention of how many IT applications and services work at a fairly deep level — certainly including those in my own area of APM.

Multi-tenancy, for instance, is a concept that has really come into vogue with the advent of public cloud platforms. A public cloud is by definition a shared architecture. This means an indefinite number of users (tenants) may be utilizing it at any given time. For all of those customers, the cloud provider wants to offer key services such as authentication, resource tracking, information management, policy creation, etc. It's only a question of what the most efficient way to accomplish this might be.

The most obvious idea would be to create a new instance of each service for each client. In this scenario, if the cloud has a thousand current clients, it also has a thousand iterations of a given service running simultaneously. Such an approach would be technically viable, but operationally wasteful — enormously complex, and therefore relatively slow and awkward to manage.

Multi-tenancy takes a different approach altogether. Instead of deploying new instances on a one-to-one basis with customers, the cloud host only needs to deploy one instance of a core application in total. That one instance, thanks to its sophisticated design, can then scale to support as many cloud customers as are necessary, logically sandboxing their data so as to keep them all completely separate from each other (even though the cloud architecture is in fact shared).

From the perspective of the cloud host, this approach is substantially superior. It is operationally much simpler to install, integrate, and manage one instance instead of many. And from the perspective of the cloud customer, the benefits are just as impressive. A customer who is interested in APM (Application Performance Management) capabilities, for example, can get them without ever having to worry about buying, deploying, or managing an actual APM solution. All that's required is contracting with a cloud provider who offers them.

Imagine an organization that manages a fleet of cruise ships. Each ship offers its own logical services, based on its own information; for each ship, separate APM considerations apply. Such an organization might solve that problem by purchasing, rolling out, and continually managing an APM solution in-house, but after all, IT infrastructure and IT service management isn't this organization's core strength; cruise ship management is. After all, APM on a moving target is tricky.

Now imagine that this organization discovers APM capabilities can be obtained from a trusted cloud provider, and that those capabilities will scale naturally to any number of ships. This may well prove the more attractive option of the two.

Setup time per server: roughly five minutes to install an agent. And because the cloud provider bills on a utility basis, the organization will only be charged in proportion to actual service usage. All the benefits of modern APM are thus achieved, yet the costs and complexity involved are relatively low.

Naturally, this does put a bit more burden on the APM solution developer! Re-coding an application to support multi-tenancy in cloud architecture is not a trivial feat of software engineering.

But for developers willing to put in the time, the benefits generated in the marketplace are clearly worth the effort:

• A broader range of service/software models, including both traditional and SaaS models, from which customers can easily choose to meet their needs

• A more direct focus on the core mission and less worry about IT infrastructure and overhead

• And for cloud hosts, simplified management, reduced costs and complexity, and a faster response to changing business conditions

For developer and organizations alike it’s a WIN-WIN situation.

Ivar Sagemo is CEO of AIMS Innovation.

Hot Topics

The Latest

From smart factories and autonomous vehicles to real-time analytics and intelligent building systems, the demand for instant, local data processing is exploding. To meet these needs, organizations are leaning into edge computing. The promise? Faster performance, reduced latency and less strain on centralized infrastructure. But there's a catch: Not every network is ready to support edge deployments ...

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...