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The Top 5 Advantages of SaaS-based APM

Software-as-a-Service (SaaS) has received a lot of success and adoption in the past five years, unfortunately less in application performance management (APM) than other markets. With Cloud computing gaining momentum you're likely to see SaaS APM adoption increase significantly as more applications are deployed to the Cloud.

Here's the top 5 advantages that SaaS-based APM can offer:

1. Time-To-Value

SaaS-based APM can be deployed within your organization in the time it takes you to read this article. Think about that for a second - you get to experience the full benefits of APM in just a few minutes with no interaction from sales people or technical consultants. All you need to do is sign up for an account, take a free trial and evaluate whether APM can meet your needs or solve your problems.

Many cloud providers are now actively partnering with APM vendors to embed agents within the servers they provision for customer applications. I personally know of a company that solved a 6 month production issue within an hour of deploying SaaS-based APM. How about that for ROI and time to value!

2. Cost – licenses, maintenance, administration, hardware

Simply put, subscription-based licenses are cheaper, more flexible and less risk than owning perpetual licenses. Annual maintenance is included in the subscription, as is the cost of managing and supporting the APM infrastructure required to monitor your applications. You don't need to buy hardware to run your APM management server, you also don't need to pay someone to manage it either – you simply deploy your agents and you're all done. There's now no need to sign up to a multi-million dollar 3 year APM ELA agreement with a vendor, you can pay as you go. If the APM software rocks you renew your subscription, if the APM software sucks you go elsewhere.

3. Ease of Use

When a customer signs up for a SaaS account and evaluates APM for the first time, there is no pre-sales or technical consultant sitting next to them to configure or demo the solution. The experience from account registration to application monitoring is a journey taken alone by the customer.

First impressions are everything with SaaS, the learning curve of APM in this context must therefore be faster and easier so the APM solution can sell itself to the customer.

SaaS-based APM solutions are also much younger than traditional on-premise software, meaning the technology, UI design principles, and concepts applied are more superior and interactive for the user. Try comparing the UI of an iPhone with a Nokia phone from 5 years ago and you'll see my point.

First generation APM solutions were typically written for developers by developers. Today the value of APM touches many different user skill sets. It is therefore no surprise that SaaS-based APM can appeal to and be adopted by development, operations and business users.

4. Migrating to the latest Release

When an APM vendor announces a new release of its software with lots of cool features, its normally down to the customers themselves to migrate to the new release. If things go well, they might spend several days or perhaps a few weeks performing the migration. If things go badly they might end up spending several weeks working hand in hand with the vendor to complete the migration.

With SaaS-based APM, the vendors themselves are responsible for the migration. Customers simply login and they get the latest version and features automatically. They get to harness APM innovation as soon as its ready, rather than having to wait weeks or months to find the time to migrate by themselves. If anything goes wrong then the vendor spends the time and money to fix it rather than the customer.

Customers today will typically upgrade their APM software once a year because of the time and effort. With SaaS-based APM, they can receive multiple upgrades and always be on the latest version.

5. Scalability

Enterprises and Cloud providers can manage lots of applications, which can span several thousand servers. It is one thing for a customer to deploy APM across two applications and a hundred servers in their organization. It is another thing to deploy it across fifty applications and a thousand servers.

Scaling APM has never been easy. The more agents you deploy, the more management servers you need to collect, process and manage the data. How quickly can you purchase, provision and maintain the APM management infrastructure when you've got hundreds of applications you want to monitor?

With SaaS-based APM, you let the vendor take care of that for you. I know of a SaaS-based APM user that monitors over 6,000 servers in their organization. Compare that with the largest APM on-premise deployment you know of and you can see why SaaS-based APM is a better scalability option.

So there you have it, five compelling reasons why you should consider SaaS-based APM in your organization. SaaS-based APM isn't for everyone though. I typically see less adoption in financial services customers where data privacy and security controls are much tighter.

ABOUT Stephen Burton

Stephen Burton is Tech Evangelist at AppDynamics, and is also the alter ego of increasingly popular "App Man" character. Steve is responsible for promoting best practice application performance management (APM) for distributed applications running in cloud, virtual and physical environments. Before joining AppDynamics, Steve held senior product management positions at OpTier and Precise, leading innovation and creative solutions to help customers better manage the performance of their applications. Steve has previously worked in pre-sales and also spent many years as a senior developer and application support engineer when his career began at Sapient.

Related Links:

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The Top 5 Advantages of SaaS-based APM

Software-as-a-Service (SaaS) has received a lot of success and adoption in the past five years, unfortunately less in application performance management (APM) than other markets. With Cloud computing gaining momentum you're likely to see SaaS APM adoption increase significantly as more applications are deployed to the Cloud.

Here's the top 5 advantages that SaaS-based APM can offer:

1. Time-To-Value

SaaS-based APM can be deployed within your organization in the time it takes you to read this article. Think about that for a second - you get to experience the full benefits of APM in just a few minutes with no interaction from sales people or technical consultants. All you need to do is sign up for an account, take a free trial and evaluate whether APM can meet your needs or solve your problems.

Many cloud providers are now actively partnering with APM vendors to embed agents within the servers they provision for customer applications. I personally know of a company that solved a 6 month production issue within an hour of deploying SaaS-based APM. How about that for ROI and time to value!

2. Cost – licenses, maintenance, administration, hardware

Simply put, subscription-based licenses are cheaper, more flexible and less risk than owning perpetual licenses. Annual maintenance is included in the subscription, as is the cost of managing and supporting the APM infrastructure required to monitor your applications. You don't need to buy hardware to run your APM management server, you also don't need to pay someone to manage it either – you simply deploy your agents and you're all done. There's now no need to sign up to a multi-million dollar 3 year APM ELA agreement with a vendor, you can pay as you go. If the APM software rocks you renew your subscription, if the APM software sucks you go elsewhere.

3. Ease of Use

When a customer signs up for a SaaS account and evaluates APM for the first time, there is no pre-sales or technical consultant sitting next to them to configure or demo the solution. The experience from account registration to application monitoring is a journey taken alone by the customer.

First impressions are everything with SaaS, the learning curve of APM in this context must therefore be faster and easier so the APM solution can sell itself to the customer.

SaaS-based APM solutions are also much younger than traditional on-premise software, meaning the technology, UI design principles, and concepts applied are more superior and interactive for the user. Try comparing the UI of an iPhone with a Nokia phone from 5 years ago and you'll see my point.

First generation APM solutions were typically written for developers by developers. Today the value of APM touches many different user skill sets. It is therefore no surprise that SaaS-based APM can appeal to and be adopted by development, operations and business users.

4. Migrating to the latest Release

When an APM vendor announces a new release of its software with lots of cool features, its normally down to the customers themselves to migrate to the new release. If things go well, they might spend several days or perhaps a few weeks performing the migration. If things go badly they might end up spending several weeks working hand in hand with the vendor to complete the migration.

With SaaS-based APM, the vendors themselves are responsible for the migration. Customers simply login and they get the latest version and features automatically. They get to harness APM innovation as soon as its ready, rather than having to wait weeks or months to find the time to migrate by themselves. If anything goes wrong then the vendor spends the time and money to fix it rather than the customer.

Customers today will typically upgrade their APM software once a year because of the time and effort. With SaaS-based APM, they can receive multiple upgrades and always be on the latest version.

5. Scalability

Enterprises and Cloud providers can manage lots of applications, which can span several thousand servers. It is one thing for a customer to deploy APM across two applications and a hundred servers in their organization. It is another thing to deploy it across fifty applications and a thousand servers.

Scaling APM has never been easy. The more agents you deploy, the more management servers you need to collect, process and manage the data. How quickly can you purchase, provision and maintain the APM management infrastructure when you've got hundreds of applications you want to monitor?

With SaaS-based APM, you let the vendor take care of that for you. I know of a SaaS-based APM user that monitors over 6,000 servers in their organization. Compare that with the largest APM on-premise deployment you know of and you can see why SaaS-based APM is a better scalability option.

So there you have it, five compelling reasons why you should consider SaaS-based APM in your organization. SaaS-based APM isn't for everyone though. I typically see less adoption in financial services customers where data privacy and security controls are much tighter.

ABOUT Stephen Burton

Stephen Burton is Tech Evangelist at AppDynamics, and is also the alter ego of increasingly popular "App Man" character. Steve is responsible for promoting best practice application performance management (APM) for distributed applications running in cloud, virtual and physical environments. Before joining AppDynamics, Steve held senior product management positions at OpTier and Precise, leading innovation and creative solutions to help customers better manage the performance of their applications. Steve has previously worked in pre-sales and also spent many years as a senior developer and application support engineer when his career began at Sapient.

Related Links:

www.appdynamics.com

12 Ways to Gain Faster ROI from APM

Stephen Burton's blog: Will Your Web Applications Suffer the Tweet of Death?

Hot Topics

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...