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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

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

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 ...

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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 ...

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