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Application Performance Monitoring 101

A complete guide to what is apm and how it works, table of contents.

In today's digital market, modern apps have to not only bring value but provide around-the-clock availability, fast responses, and real-time problem-solving. Because all businesses rely on software applications their performance is one of every organization's main concerns and biggest headaches, especially if their applications are not just a part of their business, but the business itself. This is where APM comes into play.

In this guide, we are going to dive deep into what is application performance monitoring, how it works, and why and how to use it to help you troubleshoot performance issues faster and ensure peak app performance and flawless user experience.

Definition: What Is Application Performance Monitoring

Application Performance Monitoring (APM) is the strategy and practice of continuously monitoring and tracking application performance and availability, as well as end-user experience. Using APM solutions, IT and DevOps teams can detect anomalies, understand trends, optimize resource usage, and troubleshoot performance issues before they impact end users. Such tools enable you to gather insights that help ensure customer satisfaction and drive business growth.

Application Performance Monitoring shouldn't be confused with Application Performance Management as they are often used interchangeably as ‘APM.'

How Is Application Performance Management Different

Application Performance Management is the broader strategy of managing the overall performance, starting with code, application dependencies, transaction times, and user experience. Monitoring is a small – but critical – part of it. It points out, typically via alert notifications, that there is a problem.

On the other hand, performance management takes it a step further. By using the alerts sent out by your monitoring tool, it allows you to see when and where along their journey, users encountered problems and why these problems occurred. For example, monitoring will alert you that your app or website is slow or down, but management will help you understand the causes and make changes that could potentially address the problem.

Such a complete strategy ensures full visibility into app performance, helping DevOps teams spot trends and be better prepared to respond to similar issues in the future.

Why Do You Need Application Performance Monitoring

When it comes to the digital economy, avoiding downtime and measuring the availability, response time, and behavior of every business transaction is crucial.

Detect Why Applications Are Running Slow

When you're facing application slowness, you need to determine why your app is slow, since when it's been running slowly, and what is causing slowness. That would be easy if it were not for how modern software applications look today – highly distributed, multi-tier, multi-element architectures based on app development frameworks. However, while that helps build better software applications, it makes performance management and monitoring increasingly difficult if you were to stick to traditional monitoring techniques such as performing ping tests or measuring server-level metrics (network activity, memory, CPU, and disk usage, etc.).

These techniques can't help you analyze the interdependencies between components when you work with a distributed application. Logs , metrics , events are everywhere – in the cloud, across clouds, in hybrid clouds – sometimes hard to locate and manage, thus hard to find out why your app is running slow.

Ensure End-to-End Visibility of Your Application

There are other ways to work your way around application monitoring, with methods such as synthetic transactions , manual instrumentation of the code, or customer feedback. However, while these do have their own – important – role in a monitoring strategy, they need additional configuration until they can offer the same perks as an APM tool.

This would be both time- and money-consuming. Instead, a comprehensive APM solution gives you end-to-end visibility into how your application performs without needing extra effort from you.

How Does Application Performance Monitoring Work

Application performance monitoring works by:

• Tracking if your app is behaving as it should, within normal parameters.
• If not, sending alerts and collecting data regarding the source of the problem.
• Analyzing the data while considering the impact it has on business.
• Offering insight on how to adjust your app environment so that you can easily spot and fix similar issues in the future before they impact the end user. Thus, APM helps you take a proactive approach to troubleshooting.

What Does APM Measure: Metrics You Should Track

There are two types of metrics that APM tools measure: the ones that show how end-users experience app performance and those that monitor infrastructure resources. Below are the most critical application performance metrics you should monitor:

• User satisfaction/Apdex scores – provided by Real User Monitoring (aka User Experience Monitoring), Apdex is a measurement of your users' level of satisfaction based on the response time of request(s) when interacting with your website or application.
• Response time – the time it takes for a user of an application to receive a response from an application.
• Error rates – the number of application errors in some period of time.
• Number of application instances – the number of instances of some application. In today's dynamic deployments this number typically varies with traffic, application usage, etc.
• Request rates – the number of requests in some period of time. The higher the rate, the busier the application.
• Application and server, virtual machine, or container CPU usag e – the CPU usage of the underlying infrastructure.
• Application availability/uptime (SLAs) – the extent to which an application is operational, functional, and usable for fulfilling user requests.
• Garbage Collection (GC) – for Java Virtual Machine, Node.js Virtual Machine, and other runtimes that perform garbage collection.

Application Performance Monitoring Strategy Requirements:

That sounds simple enough, but in reality, you need a non-trivial setup to reap the full benefits of application monitoring. Here's what your application performance monitoring strategy should include:

1. Digital Experience Monitoring

Also known as end-user experience monitoring (EUEM), digital experience monitoring (DEM) tracks how a software application behaves from a user's point of view, looking for the times when they experience slowness, downtime, or errors. You can monitor end user experience proactively with synthetic monitoring solutions like Sematext Synthetics , or passively with real-user monitoring , meaning tools such as Sematext Experience .

Learn about the difference between these two methods in our blog post about real user monitoring vs. synthetic monitoring and see where RUM fits into the APM strategy in RUM vs. APM .

2. Dynamic Application Architecture Display (Service Map)

This is a map of how all the components of your application communicate with each other. APM tools automatically discover these dependencies and interactions and update them in real-time. Having the data available in a visual form makes problem detection easier.

3. Code Profiling

Transaction profiling, also known as transaction tracing or code-level performance profiling, analyzes the flow of every user transaction and isolates specific interactions where performance issues are detected. Tracing allows you to follow the user's journey from frontend to backend. That way, you can find the exact line of code, database query, or third-party call that affects application performance.

4. Transaction Tracing

Many performance issues are caused by memory leaks in the server, slow network connectivity, virtualization bottlenecks, etc., making infrastructure monitoring a must for ensuring peak app performance.

An application performance monitoring tool enables deep-dive analysis by collecting performance metrics in the form of transaction traces from all the components in your infrastructure. More specifically, it performs distributed transaction tracing, as it tracks transactions across tier boundaries providing end-to-end performance visibility along with the information you need (app and server metrics) to connect application infrastructure and performance with the user journey. Such solutions help keep an eye on the health of every business transaction as they happen so that you can easily understand when, where and why app slowness happened and user experience was affected.

5. IT Operations Analytics

IT operations analytics refers to analyzing data to identify usage patterns, trends, and performance issues that you can leverage to build a better plan on how to deal with similar situations before they occur and affect end-users.

Application Performance Monitoring Tools

A complete application monitoring solution consists of one or more tools that allow you to monitor all three core elements we mentioned earlier – digital experience monitoring, application discovery, tracing and diagnostics, and artificial intelligence for IT operations.

Unfortunately, there are no free open-source projects that cover all three aspects of APM as a package. Usually, they offer only one, be it infrastructure monitoring , RUM , or tracing , which you can combine if you want to go open-source all the way. Among the best, we can name Jaeger , Zipkin , Stagemonitor , Pinpoint , Weave Scope , Scouter , and Apache Skywalking. They've gathered large communities around them that are driven to innovate and help by coming with new features that meet users' needs.

On the other hand, there are a lot of vendors that offer both standalone monitoring tools and the whole package. We, at Sematext , are one of them.

Why Use Sematext as an APM Tool

Sematext Cloud is an APM solution . It provides end-to-end visibility into your web application's performance. It traces requests across multiple applications, tiers, servers, microservices, and processes, all the way down to databases, to detect the slowest and under-performing parts of your stack.

Sematext uses this data along with error rates and failed transactions to build a dynamic map of your complete app architecture – including connections to external services and databases – that shows how all components interact with each other. The AppMap makes it easier for you to track application health and performance.

How to Choose the Right APM Software

Besides being easy to use and able to provide actionable insights, your application performance monitoring tools should be able to:

• manage applications in language(s) your applications use
• monitor performance at code-level
• track end-user experience
• use artificial intelligence
• allow you to monitor the entire infrastructure
• offer information that helps you connect app performance metrics with business outcomes.

As businesses go through digital transformations such as cloud migration and container orchestration the risk of app downtime goes up, making application performance management and monitoring more important than ever.

APM is essential to ensure software application availability, making using such a tool a must, especially if you're running a SaaS business. APM tools help DevOps understand how application releases affect service performance, security, and reliability. They enable teams to set up alerts to detect and solve issues before they impact user experience and set up automated actions based on specific events, patterns, and trends.

Hopefully, this tutorial helped you understand better what APM means, why you need it as part of your monitoring and alerting strategy, and how to use it to deliver enhanced app performance, improved digital user experience, and, ultimately, to drive business growth.

Now all you have to do is pick the right APM tool and you're good to go!

Application monitoring

Deliver enhanced customer experience with application monitoring, by being able to identify and resolve issues in real-time before they impact customers.

Dynatrace instills confidence that we can better support our applications and meet SLAs for the unemployment insurance division.

What is application monitoring?

Application monitoring is the process of measuring application performance, availability and user experience and using this data to identify and resolve application issues before they impact customers. Application monitoring is difficult due to the dynamic nature of today’s hybrid cloud and cloud native environments. The most effective modern approaches incorporate full stack monitoring from the front-end, user experience, to the back-end infrastructure to deliver complete visibility into application performance.

Get deep insights into your full application stack

Dynatrace provides unique operational insights with just one solution. Leverage full stack monitoring from the front-end to the back-end, to infrastructure, to the cloud. Understand how application performance impacts your customers.

• Monitor and manage real user experience, application performance and response time, infrastructure and cloud environments. Get all metrics in real-time!
• Dynatrace auto-detects all application dependencies and tracks transactions across all tiers.
• Resolve performance or availability issues before they impact your customers powered by artificial intelligence .

Monitor your entire hybrid multicloud

Dynatrace provides unmatched application monitoring breadth and depth. We cover your entire hybrid, multicloud with no gaps or blind spots.

• Monitor applications down to the code-level.
• See real user data and resolve customer complaints effectively.
• Resolve problems in minutes with actionable artificial intelligence.

Dynatrace is a G2 Leader in APM

Dynatrace covers the broadest range of technologies in the industry, boost productivity with automatic application monitoring.

Today's application environments consist of thousands of components and millions of dependencies. Level up your application monitoring approach with our unique capabilities:

• Get full operational insights, with no manual configuration.
• Leverage continuous auto-discovery to minimize operational costs.
• Get detailed information on performance issues before they affect your customers

Resolve customer experience issues proactively

Problem resolution with most application monitoring tools is still a time-consuming manual process that puts you at risk of losing customers. Stop spending time hunting for problems and focus on fixing them:

• Dynatrace learns how your application environment performs and proactively detects anomalies .
• Artificial intelligence tells you where and why software applications break down.
• With trillions of events analyzed per day, Dynatrace can pinpoint problems down to individual lines of code .

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A Guide to Application Monitoring Best Practices

The software industry has been leading the automation trend by setting up tools, frameworks, and platforms to simplify and automate application development and deployment workflows. This enables less human involvement, less error-prone situations, and more consistency and reliability in rolling out software. But just like automation in building, testing, shipping, and deployment pipelines, it is only reasonable to have a setup that, after deployment, ensures the smooth functioning of the very many components that make up your application. A robust performance monitoring setup for applications in production is the need of the hour!

Because it is not just about putting your application out there, you also need to monitor its performance – its resource usage, user traffic, request rates, response times, bottlenecks, memory issues, etc. – to be able to overcome these limitations and ensure a good end-user experience. This is why Application Performance Monitoring (APM) tools have proven valuable to the software industry.

However, it is not just about being aware of the requisite tools and simply plugging them into your stack. You also need to understand established best practices that have worked well for the industry – effective methods and tips to get the most out of these tools. Best practices are best for a reason.

This post will dive into Application Performance Monitoring and give a real sense of its utility and value in today’s day and age of booming web applications. We will do so by discussing a bunch of use cases where these tools shine. We will then take a look at some of the best practices to be followed in the realm of monitoring to learn to extract the most value out of these APM tools. 

Here’s a preview of what we will be covering so you can easily navigate or skip ahead in the guide:

What is Application Performance Monitoring (APM)?

Application performance monitoring (apm) use cases.

• Application Performance Monitoring Best Practices

Application Performance Monitoring (APM), as the name suggests, is the process of monitoring the performance of the many aspects of your application.

When an end-user logs into your application, for even just one web page to load on their device, there are very many backstage components that need to come together and operate in synchrony to ensure a smooth and fast experience. These include network components (that carry the bytes of data), software components (e.g., server-side frameworks, front-end code, and other dependencies), and hardware components (i.e., CPU processors, memory, and storage of machines that host your web servers, APIs, databases, file systems, etc.) It can become overwhelming to manually keep track of your application performance on all these different levels and across all components. This is even truer when you ideally want monitoring and checks to happen all the time, in real-time!

Well, this is precisely the problem that APM solutions target. APM tools, like Scout APM , allow organizations to get a detailed analysis of the performance of their applications, in real-time. This includes critical information about server requests, response times, time-consuming methods and end-points, errors and their root cause analysis, and lots more – presented in a way that is easy to understand and troubleshoot.

These performance insights provide a lot of valuable information about more optimum resource allocations and effective cost reductions while surfacing other issues that could potentially fail your application – all of this and more before the user gets a hint of anything being amiss.

Why you Need an APM Tool for your Application

Apart from presenting a bird’s eye view of what is happening within your application as a whole, APM tools provide you with your application’s score on particular metrics that quantify its performance along different grounds. 

They provide metrics like request rates, response times, server load, CPU and memory usage, application throughput, server health status, and lots more, enabling organizations to understand what drives their application’s performance or failures.

They bring to light and help you identify performance bottlenecks , memory leaks , bloat , slow database queries , wasted execution cycles, and much more in your application. Additionally, tools like ScoutAPM enable teams to trace the cause of these issues to the specific line of the code causing them so that developers need to spend less time debugging and more time building.

Different platforms, frameworks, and APIs allow you to monitor the performance of a few of your applications’ components – for example, your cloud service provider could provide information about resource usage, logging frameworks could help you capture backend errors and processing times, etc. But wouldn’t it be much more useful to have everything you need under one roof – as a one-stop platform to provide all the information about everything you might need to know about your application’s performance.

Different organizations might want to optimize their application’s performance on different metrics. Some teams might want to prioritize more reliability and uptime, over other applications that might want to focus on higher speeds and lower response times. In this regard, equally important is the amount of flexibility that many of these tools offer in creating customizable dashboards – allowing you to focus on aspects of performance that matter the most to your application.

APM tools, therefore, can go a long way in resolving issues faster, preventing interruptions, boosting performance, increasing business and revenue, and understanding customer interactions. To dive even deeper into the realms of Application Monitoring – the tools, their importance, and their many benefits, you can also check out the “ Application Performance Monitoring - What is APM? ” on our blog .

Let us now look at some common use cases of APM solutions to get a pragmatic understanding of how helpful they can be for developers and organizations to ensure that everything about their application is on track.

Use case 1: Application Development

Application development involves a lot of playing around with the code, tweaking, solving bugs, adding features, experimenting with different libraries and frameworks, refactoring, etc. This can lead to minor fluctuations in performance that developers might want to track and monitor throughout the development lifecycle and in the staging and production environments. 

Therefore, application development can benefit a great deal from the insights provided by APM tools. These could be insights about the application’s performance or an in-depth analysis of issues down to the code level. By highlighting the source of the problem and isolating issues to specific lines (or methods) in the code causing them, these tools narrow down the areas of the project that they should be focusing more on. 

Below is an example of code traceability in ScoutAPM, with Github integration enabled. You can read more about it here . 

Use case 2: Identifying Performance Bottlenecks

A bottleneck in software engineering refers to the negative effect on performance caused by the limited ability or capacity of one component of the system – similar to impeding water flow caused near a bottle’s constricted neck. A bottleneck is like the slower car on a single-track road that keeps everyone else waiting.

Even with the best software and hardware infrastructure in place, all it takes is one sub-optimal component to make your application crawl when it could be flying. APM tools help you identify performance bottlenecks with accuracy. These range from bottlenecks in disk usage, CPU utilization, memory to software and network components. APM platforms like Scout provide a complete analysis of several metrics like the memory allocation, response times, throughput, and error rates corresponding to each end-point in your application. Metrics like these provide insights into the long-term performance of these applications and help highlight where such bottlenecks lie.

If you are interested in learning more about performance bottlenecks, we have explored the topic in great detail in the How to Steer Clear of Application Performance Bottlenecks post on our blog .

Use case 3: Real-time Performance Alerts and Insights

APM tools like Scout provide live alerts and insights about your application’s performance. Many applications can benefit from the real-time nature of these alerts and updates. For example, you might not discover several memory bloats and leak issues until there is a decent amount of traffic on your website. And it’s not always possible to predict surges in user traffic. Therefore, in such a case, alert notifications from these APM tools can serve as a handy alarm signal – from a system that can 24 x 7 be on the lookout for such short-term anomalies and immediate failures. If something goes wrong, they can send out alerts through all your integrated platforms (e.g., Slack). This ensures issues are given attention before the end-user experiences any inconvenience. With these tools, there’s much more flexibility and customization offered; for example, options to configure the events you want to be alerted about, their duration, priority levels, messaging platforms, etc. Below is a snapshot of what this dashboard looks like in ScoutAPM.

Use case 4: Monitor and Track End User Experience

When evaluating your application’s performance, you might want to go beyond monitoring server response times, memory consumption, throughput, etc. On most occasions, what matters equally (if not more) is the end user’s experience. Several APM tools, like Scout , measure this using an ApDex score. The Application Performance Index, or Apdex, is essentially a quantifiable measurement of a user’s general level of satisfaction when using an application. Broadly, it is calculated based on the ratio of requests completed within a threshold amount of time. Therefore, the higher the ApDex score, the higher the supposed customer satisfaction levels concerning the speed and performance of your application.

You can read more about the ApDex score and how ScoutAPM measures customer satisfaction in the Monitoring ApDex with Scout APM post on our blog.

Here are some more use cases of APM tools worth mentioning:

• End-to-end Infrastructure Monitoring
• Correlating Performance Metrics Between Environments
• Tracking Performance Changes through DevOps toolchains

Application Performance Monitoring (APM) Best Practices

Now we have a good understanding of what APMs are, their many use cases, and why you need one for your application.  Assuming you already use an APM tool or will get one for your application, let’s look at how you can make the most out of these tools. 

Here are the 10 best practices that you can follow for your APM setups:

Best Practice 1: Don’t Build Your Own APM Solution(s) 

Every organization at some point or the other comes across this build vs. buy dilemma – do you develop your own set of tools for your project(s), or do you go ahead and buy an existing, working solution? However, when it comes to APM tools, you are much better off not trying to handcraft one for your organization. 

The primary purpose of APM tools is to take care of unexpected issues in your application. If you build a custom APM solution for your application, you expose yourself to more issues across two platforms – your project and the APM tool itself. Therefore, it is much better to rely on more foolproof, trustworthy, specialized APM tools in the market. Besides, many of these tools are quite affordable and are therefore a much more viable option. 

There are already many challenges and difficulties associated with running and maintaining applications at scale. By using an existing reliable APM solution, you now have one less thing to worry about. Do what you do best, and let outsourced expertise take care of the rest.

Best Practice 2: Ensure You Have the Right Tool(s) for the Job 

After discussing the advantages of going for a third-party APM suite instead of building one for your own, it’s time to focus on things you need to keep in mind when opting for a tool that works best for your application. Before choosing an APM tool, it is important to do the research on your business, application requirements, service-level agreements (SLAs), and customers; then, see what feature set suits your setup best. There are a bunch of factors that you need to consider for this. These include the APM’s feature set, pricing model, flexibility, programming language support, data granularity, user interface, integration with other tools and services, technical support, ease of use, and many more. 

Some APM tools might focus on monitoring some minimal but essential operations, while others may go above and beyond in providing a comprehensive list of features.

Therefore, having a good understanding of what you need out of these tools and at what cost, will help you make an informed decision.

Are you confused about the plethora of APM tools in the market? We have got you covered with an elaborate analysis of the top 9 APM tools in the “ A Comparison of the Top 9 Application Performance Monitoring Tools ” post that you can check out on our blog .

Best Practice 3: Set Up a Customized Dashboard with the Most Useful Information  

When using APM tools for monitoring large-scale applications, you are likely to have many metrics, graphs, and other data visualizations thrown at you, which can sometimes make it difficult to focus on the aspects of performance that really matter. To this end, several APM tools provide an option to customize the appearance of your dashboard page. 

Your dashboard is the first page that opens up when you log in to your APM service. This page is supposed to present you with a broad idea of how your application is faring overall. Therefore, when setting up your APM tool, you should spend some time understanding what metrics provide the most relevant and vital information about the functioning of your application. Once that is done, the next obvious step is to ensure that these receive considerable attention in the dashboard you set up.

Best Practice 4: Prioritize Critical Transactions 

Along the same lines, in most cases, you’ll find that some transactions in your application are more critical compared to others. For example, you would be more concerned about the user’s home page’s response times than those of a rarely used static Terms and Conditions page.

These last two practices should declutter your setup quite a bit – letting the more important metrics and functions shine through and convey more actionable information about what is working well and what needs to be optimized.

Best Practice 5: Configure Custom Alert Policies and Notifications 

When issues arise and performance drops, individuals in your team need to be updated about the impact before the end-user catches wind of anything. After all, what is the point of a real-time alerting system if these alerts aren’t set up properly, or if they don’t reach you where you’d like, or you are unable to act on them?

As we have discussed before, each application and organization differs in different aspects. Therefore, based on your requirements, you might want to set up your own set of alerting conditions – because what may be worth receiving an alert for in your application will differ from what it would be for in another application. All APM tools allow you to create alerting policies by specifying thresholds on different metrics like response times, error rates, ApDex score, etc.

Apart from email alerts, tools like ScoutAPM also allow you to integrate these updates with a messaging platform like Slack, making it easier for teams to stay updated and collaborate easily.

Also, you might not want to just stop at setting up these alert policies. There should be internal systems and processes in place that define the delegation of these issues and other practices that can ensure the corresponding issues are resolved efficiently.

Best Practice 6: Factor in the End User Experience 

As we previously discussed, it is the end user’s experience that matters most. And end-users expect faster applications and smoother experiences. Therefore, it is important to be on the lookout for patterns related to the ApDex score of your application. For example, you might observe sudden drops in the score after particular deployments or repeated peaks in response times that might rapidly lower the ApDex score, indicating a likely infrastructure limitation.

Your application’s ApDex scores are visible throughout the ScoutAPM platform and can be easily toggled on or off at any time. 

Therefore, when other performance metrics are alone unable to present a clear narrative of your application’s performance, it can be a good practice to start with the ApDex score and take things from there.

Best Practice 7: Keep Up with the Manual Checks (every once in a while) 

The software industry is an extremely fast-paced one. Things quickly change – usage patterns evolve, requirements change, expectations change. Alerts and policies once set up might not be relevant throughout. Given how precariously poised many of our applications are and the various number of things that can go wrong, it’s quite important to have the occasional manual checks to ensure that things are in order. This can include periodic checkups for inconsistencies and inaccuracies and ensuring the metrics and policies initially set up are scaling with the growth of your application. After all, no news is not good news.

Best Practice 8: Be Intelligent in Interpreting Metrics – Don’t Oversimplify 

Most APM tools in summarizing performance metrics present an average (or mean) of all metric values.

Even though an average is perhaps the most plausible (and most easily understood) indicator of performance on a broader scale, organizations might want to occasionally dig deeper into these metrics. Let’s see why this is through an example.

Consider an end-point that has a mean response time of 1 ms. This gives an impression of most (if not all) users experiencing a 1 ms response time. However, the average response time can also find a way to be 1 ms even when 20 percent (or any arbitrary percentage less than 50) of your audience experiences a 2x (or 3x or 4x) response time. This is what we like to refer to as the average fallacy. In this case, it is quite possible for individuals to overlook the response times’ distribution and be content with the lower overall average. However, if there is a careful analysis of the metrics, as shown below, the organization can focus on ways to optimize the response times for the rest.

Best Practice 9: Train Personnel for Working with APM Tools 

As you can see, APM tools do need some playing around with to get acquainted with the many features they offer. Usually, getting the most value out of them requires some hands-on experience and understanding of the best practices to follow. Therefore, it would be a good practice to train individuals in your team about the operations of these tools.

Organizations can decide for themselves whether they need a dedicated group that overlooks APM operations or wants everybody to pitch in and take APM insights for their own work. For example, developers can benefit a lot from some minimal training with the APM platforms. This can help them understand the business importance of application performance, and code and build software accordingly. On the other hand, if a dedicated group is assigned to take care of everything APM, it makes things much more systematic as there is a clear understanding of responsibilities. This minimizes the chances of things falling through the cracks.

Most APM tools offer great documentation that makes getting started with these tools super easy!

Best Practice 10: Don’t Hesitate to Seek Help 

All top APM tools out there provide excellent technical support for their customers and provide support quickly. However, in working with the most highly intuitive platforms, teams might not feel the need to consult or seek external help. As a result, operators might miss out on several useful features, tips, and tricks. 

Therefore, it can be pretty valuable to get some guidance and insight from these support teams. They have much more experience dealing with everyday issues that organizations might face with their APM tool and therefore provide constructive feedback. This can therefore be quite helpful in improving the way you utilize the APM tool, helping you make the most out of it.

Summary and Important Takeaways 

It is important to note that if you are just starting with web development and working on smaller, personal projects, understanding the importance of APM tools might not come easily or seem super relevant to you. However, these tools become exponentially more valuable as your application(s) scale up and cater to hundreds or thousands of users.

If you are interested in:

• using performance insights to improve your application and business, 
• getting centralized observability and continuous insight into your application’s availability and performance,
• saving time, energy, and resources in laborious, error-prone manual inspection and monitoring,
• proactive alerting, real-time insight, and always-on support, and
• spending less time debugging issues and more time building new features,

then check out ScoutAPM by signing up for a free trial - you can thank us later.

Cheers! Happy coding!

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Why Monitoring Applications (APM) is Important and How to Monitor Applications Effectively

As modern businesses continue to invest heavily in digital transformation, applications have become the backbone of organizations across various industries. Whether it’s customer-facing apps, internal systems, or cloud-based platforms, applications play a vital role in driving operational efficiency, enhancing customer experiences, and generating revenue. However, ensuring the smooth functioning and optimal performance of these applications requires proactive monitoring. In this article, we will delve into the reasons why monitoring applications is crucial for businesses and how it contributes to their overall success.  

What is Application Performance Monitoring (APM)  

Application Performance Monitoring (APM) is a critical practice for businesses seeking to ensure optimal performance and user experiences. APM involves monitoring and analyzing various performance metrics and key indicators to gain insights into an application’s behavior and identify areas for improvement. By implementing APM, organizations can proactively detect and address performance issues, minimize downtime, and enhance overall application performance.  

Effective application performance monitoring entails tracking metrics such as response time, throughput, error rates, and resource utilization. By continuously monitoring these metrics, businesses can identify bottlenecks, pinpoint performance degradation, and optimize resource allocation.   

APM tools like Azure Monitor, AppDynamics, and New Relic show how well an app is working. They help organizations find and fix problems quickly, so users have a good experience and business runs smoothly. This proactive approach helps minimize disruptions, improve customer satisfaction, and boost productivity.  

APM also plays a crucial role in capacity planning and scalability. By monitoring resource utilization and performance trends, businesses can accurately predict their application’s resource needs and plan for scalability accordingly. This ensures that the application can handle increased user loads and transaction volumes without compromising performance. Additionally, APM enables organizations to conduct performance testing, analyze results, and fine-tune their application to achieve optimal performance levels.  

Why is Monitoring your applications important?

1. maintaining business continuity  .

Applications are susceptible to various issues that can disrupt business operations. Downtime, slow response times, and system failures can lead to frustrated customers, lost sales opportunities, and damaged brand reputation . By implementing robust application monitoring practices, businesses can identify and rectify issues promptly, minimizing downtime and ensuring uninterrupted service delivery. Proactive monitoring helps in early detection of anomalies, allowing for swift remediation before they snowball into larger problems.  

2. Enhancing User Experience  

User experience is a key differentiator in today’s competitive market. Slow-loading pages, frequent errors, and unresponsive applications can drive users away, negatively impacting customer satisfaction and loyalty.  

Through application monitoring, businesses can gain insights into performance metrics such as response times, page load times, and error rates. This data enables them to optimize application performance, streamline user interactions, and deliver a seamless experience. Monitoring also aids in identifying and addressing bottlenecks, optimizing resource utilization, and improving overall user satisfaction.  

3. Operational Efficiency  

Monitoring applications not only helps in maintaining their performance but also enables businesses to identify opportunities for optimization. Businesses can use metrics to make decisions about infrastructure scaling, load balancing, and resource allocation. This proactive approach prevents system overload, enhances scalability, and optimizes resource utilization, leading to improved operational efficiency and cost savings.  

4.Proactive Issue Resolution  

Traditional troubleshooting methods often involve reacting to customer complaints or system failures. However, application monitoring allows businesses to proactively identify and resolve issues before they impact end-users. With real-time monitoring and automated alerts, businesses can quickly pinpoint performance bottlenecks, errors, or security threats. Finding problems early helps IT teams fix them quickly, avoiding issues for users and the business.  

5. Ensuring Security and Compliance  

In an era of increasing cyber threats and stringent data privacy regulations, monitoring applications for security vulnerabilities and compliance violations is of paramount importance. Application monitoring helps detect unauthorized access attempts, abnormal user behavior, and other security breaches. It also aids in monitoring compliance with industry regulations and internal policies. Businesses can protect sensitive information and meet regulations by constantly watching apps. They can do this by applying security updates, controlling access, and following data protection rules.  

How to monitor application performance  

Monitoring applications effectively involves a systematic. Here are ten steps to help you establish an efficient application monitoring process:  

1. Define Monitoring Objectives:

Clearly define your application monitoring goals and objectives. Identify the most important metrics for your business, such as response time, uptime, error rates, and user engagement.  

2. Select Appropriate Monitoring Tools:    

Research and select monitoring tools that align with your monitoring objectives. Look for solutions that offer comprehensive monitoring capabilities, including real-time performance monitoring, error tracking, log analysis, and security monitoring.  

3. Establish Baseline Performance:  

Before implementing monitoring, establish a baseline for your application’s performance. This baseline will serve as a reference point for identifying deviations and anomalies in the future. Measure and document the normal behavior of your application under different conditions.  

4. Set Up Real-Time Monitoring:  

Configure real-time monitoring for critical application components and performance metrics. Use monitoring tools to track parameters such as server response time, database performance, network latency, and user interactions. Set thresholds and alerts to notify you when performance falls below acceptable levels.  

5. Monitor User Experience:  

Implement user experience monitoring to gain insights into how users interact with your application. Track metrics like page load times, click-through rates, conversion rates, and user journey flows. User experience monitoring helps identify areas for improvement and prioritize enhancements.    

6. Monitor Application Logs  

Log analysis plays a crucial role in identifying errors, exceptions, and potential security breaches. Set up log monitoring and analysis tools to track application logs and detect anomalies. Regularly review logs to identify patterns, troubleshoot issues, and proactively address potential risks.  

7. Implement Security Monitoring:    

Protecting your application from security threats is paramount. Employ security monitoring tools to detect and respond to unauthorized access attempts, abnormal user behavior, and potential vulnerabilities. Monitor logs, network traffic, and user activities to identify security incidents promptly.  

8. Leverage Performance Testing:    

Conduct regular performance tests to assess how your application performs under different loads and stress levels. Use load testing tools to simulate real-world scenarios and analyze performance metrics. These tests help you identify scalability issues and optimize resource allocation.  

9. Establish Incident Response Processes:  

Define clear incident response processes to handle alerts and issues detected through monitoring. Establish roles and responsibilities, escalation procedures, and communication protocols to ensure timely response and resolution. Document incident response steps and update them as necessary.  

10. Continuously Review and Optimize:  

Application monitoring is an iterative process. Regularly review monitoring data, analyze trends, and identify areas for improvement. Use the insights gained from monitoring to optimize performance, enhance security measures, and refine user experiences.  

Conclusion  

In conclusion, effective application monitoring is crucial for businesses that rely on digital applications to drive their operations and deliver exceptional user experiences. By monitoring application performance, organizations can proactively detect and resolve issues, maintain business continuity, and optimize operational efficiency. Additionally, application monitoring helps businesses enhance user satisfaction, ensure security and compliance, and make informed decisions about scalability and resource allocation.  

To monitor applications effectively, organizations should define their monitoring objectives, select appropriate monitoring tools, and establish a baseline for performance. Real-time monitoring, user experience monitoring, and security monitoring are essential components of a comprehensive monitoring strategy. Performance testing, incident response processes, and continuous review and optimization are key steps to ensure the effectiveness of the monitoring process.    

By investing in robust application monitoring practices and leveraging the right tools, businesses can gain valuable insights, prevent potential disruptions, and continuously improve the performance and reliability of their applications. In a competitive digital landscape, proactive application monitoring is a crucial practice that enables organizations to deliver seamless user experiences, maintain a competitive edge, and drive business success.  

CONTACT US TO LEARN MORE ABOUT APPLICATION MONITORING

Andrew Reade

Andrew is our Digital Marketing Manager and oversees web-based marketing strategies and content creation for the organization. As a marketing veteran, Andrew has worked with organizations of all sizes in a diverse group of industries, from Risk Management to Transportation. Joining the organization in 2021, Andrew is based in Mobile Mentor’s Nashville, TN office.

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Application Performance Monitoring

Apr 01, 2019

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A Vulnerability or a Bug? What’s The Difference Anyway? Security Software Verification as Part of the SDLC. Application Performance Monitoring. HVC2012 8 Nov 2012 Haifa, Israel. Ofer Maor CTO. Introduction. Application Security 101 Short Hacking Demo Vulnerability vs Bug

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A Vulnerability or a Bug? What’s The Difference Anyway? Security Software Verification as Part of the SDLC Application Performance Monitoring HVC2012 8 Nov 2012 Haifa, Israel Ofer Maor CTO

Introduction • Application Security 101 • Short Hacking Demo • Vulnerability vs Bug • Quality, Quality, Quality • Real Risk vs Bad Coding • S for Security (Secure DLC) • QA & Application Security? • Q&A

AboutMyself • 17 years in information/application security (Over 10 years hands on penetration testing) • Research, Development, Enhancement • Attack & Defense Techniques • WAF / AppSec Testing Products • Regular Speaker in Security Conferences • OWASP Global Membership Committee & Chairman of OWASP Israel

About Quotium/Seeker • Leader in Application Security Testing • New Generation, Data Oriented Approach • Analysis of application data and code • Exploit verification to classify risk. • Intuitive & Easy to Use • Enabling Security as part of QA

AboutOWASP • Open Web & Application Security Project • World Wide Community Promoting AppSec • 58 Companies, 52 Universities, 2000 Members • Thousands of Articles, Presentations, Projects • Over 20,000 Participants in Activities • OWASP Israel – Local Israeli Chapter • 1 Annual Conference + Quarterly Meetings www.owasp.org www.owasp.org/index.php/Category:Israel

Application Security 101 • What are Application Vulnerabilities? • Application Security in Numbers: • Over 97% of applications are vulnerable • 90% of attacks take place in app/data layer • Spending over 1B$ annually, 40% growth • Risk to Critical Data & Business Processes • Requires Mitigation as part of Software

Example #1: SQL Injection • URL • Source Code: /SearchBranch.aspx?p_address=Athens • Assembly Path:C:\Windows\Microsoft.NET\Framework\v2.0.50727\Temporary ASP.NET Files\luftbank\d5391338\716bda9a\assembly\dl3\36cb53c6\00dde867_5965cb01\Luft.General.DLL • Pseudo source code of execution from Luft.General.GeneralDB.searchBankBranch: • { • text += " and "; • } • text = text + " Address like '%" + p_address + "%'"; • } • DbCommandsqlStringCommand = database.GetSqlStringCommand(text); • return database.ExecuteDataSet(sqlStringCommand); • }

Example #1: SQL Injection • Query Generated (Normal Conditions) • Attack • Query Generated under Attack SELECT ID,Name,Address FROM Dyn_Branch WHERE Address like '%Athens%' /SearchBranch.aspx?p_address=Athens' and 7 = 8 union select 1,name, 'zFw03' from (select top 20 name from sysobjects order by name) xxx -- SELECT ID,Name,Address FROM Dyn_Branch WHERE Address like '%Athens' and 7 = 8 union select 1,name,'zFw03' from (select top 20 name from sysobjects order by name) xxx--%'

Example #2: ParamTampering • URL • User A Sample Record • Database Records • Query (No Validation) http://LuftBank.com/User/Chequing/ChequingTransInfo.aspx?TransID=806335 7/9/2012 10:48:10 PM, 806335, Jack Daniel, 3330, 50000 User A = 805342, 806335, 806908 . . . User B = 804211, 805792, 806873 . . . SELECT [Date] as TransDateTime, dbo.udf_dateToString ([Date]) as TransDate,ID, Owner, Amount,Balance FROM Dyn_AccountTransactions WHERE ID=806335

Vulnerability vs Bug • Different, but Similar • Inherently – It’s a Problem in the Code • But There is a Difference… • Bug: Something should work, but doesn’t. • Vulnerability: Something works, but shouldn’t • Findings Vulnerabilities is Harder… • No specific specifications to compare to • Infinite possibilities…

Quality, Quality, Quality • Nonetheless, it isanother bug… • We need to avoid it… • If we can’t avoid it, we need to find it… • Once we find it, we need to fix it… • And then retest it… • Until it’s verified. • Therefore… Security is “just” Another Quality Issue

Quality, Quality, Quality • Early Detection – A Must • Late Detection… • High Cost of Remediation (1, 6, 15, 100) • Delay in Deployment or… • Risk in Production

S for Security (Secure DLC) • Secure Development Lifecycle – A Must • Like Any Other Quality Aspect • Start Early (Design) • Code Right (Yeah Right…) • Test Early, Test Plenty • Fix • Retest • Repeat… (This loop has to end sometime…)

Real Risk vs Bad Coding Practice • Insecure Code – Wide Definition • Not All Bad Practices Lead to Vulnerabilities • Not All Vulnerabilities Are Exploitable • Need to Define What is “Insecure” • Identify Real Risk • Assess Business Impact • Analyze Affected Data

QA & Application Security? • If it’s “just another” Quality Issue – Responsibility for QA Team? • Yes, But… • Different Mind Set • Lack of Security Knowhow • Lack of Skill • Lack of Tools • Existing Tools Not Targeting QA… • Expensive to Outsource (Security Services)

So… What Can We Do? • Empowering QA for Security Testingthrough Automatic Security Testing • Automatic Solution That Is… • Reliable & Repeatable • Requires No Security Expertise • Accurate & Relevant Results (No FP/FN) • Provides Results Usable by Developers • Easy to Integrate (Continuous Integration, Ticketing Integration, Fix Tracking, Verification)

Summary • Application Security – A Real Problem • Vulnerability – “Just” Another Bug • Vulnerabilities Must be Eliminated by R&D • Application Security – A Quality Issue • QA Teams Must Acquire Capabilities • Automation – The Right Solution for Application Security Testing in QA

Thank You! Questions? Application Performance Monitoring Ofer Maor [email protected]

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INFORMS Open Forum

Call for presentations: ai-human interaction and applications session at informs 2024, 1.  call for presentations: ai-human interaction and applications session at informs 2024.

Dear Friends and Colleagues,

I will be organizing the "AI-Human Interaction and Applications Session" session for the upcoming 2024 INFORMS Annual Meeting.  

We are seeking engaging presentations that cover topics such as user-centered AI design, ethical considerations in AI, AI's impact on healthcare, education, business, and its broader societal effects. If you are working on research or practical applications in any of these areas, I warmly invite you to share your insights and findings with our audience.

If you are interested in participating as a speaker, please contact me at [email protected] . Upon your expression of interest, I will provide you with a system invitation.

Feel free to forward this call to your colleagues who might also be interested in contributing to this session.

Best regards,

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