Application Performance Optimization
What is APM? Application performance monitoring guide
Forsyth Alexander May 09, 2024 • 11 min read
This might interest you
Subscribe to the blog
By providing my email address, I agree to receive alerts and news about the OutSystems blog and new blog posts. What does this mean to you?
Your information will not be shared with any third parties and will be used in accordance with OutSystems privacy policy. You may manage your subscriptions or opt out at any time.
Get the latest low-code content right in your inbox.
Subscription Sucessful
In this digital world where every second counts, the stability and speed of your applications are more critical than ever. As businesses push the boundaries of innovation, the fundamental requirement remains the same: applications must perform flawlessly. Whether it's enhancing customer interactions or boosting employee productivity, the role of technology is pivotal. Yet, a single performance hiccup can send users searching for alternatives, costing you not just revenue but also your hard-earned reputation.
This is where the power of Application Performance Monitoring (APM) comes into play. In this blog, I explain application performance, its issues, and how APM can ensure that your digital solutions exceed the rigorous demands of modern enterprise and consumer expectations.
What is application performance?
Application performance is a comprehensive metric that captures how well an application responds to user interactions, manages data flows, and ultimately provides a seamless operational experience. The critical aspects of application performance include speed, reliability, and the smooth execution of functionality; together, they all shape the overall user experience.
Speed, or response time, is perhaps the most visible element of application performance. It measures the time taken for an application to respond to user inputs, from loading pages to executing transactions. A faster response time is crucial because users expect immediate results, and any delay can lead to dissatisfaction or user attrition.
Reliability, another pillar of application performance, ensures that applications consistently perform their intended tasks under various conditions. This involves maintaining operational uptime while ensuring that the application can handle load increases, recover quickly from failures, and remain stable under stress. Reliability is key to building trust with users, as it guarantees that the application will be available and functional whenever needed.
Together, these factors underscore the importance of monitoring and managing application performance to meet and exceed user expectations. Effective application performance management not only boosts user satisfaction but also supports business continuity, enhances reputation, and drives overall organizational success. As such, maintaining high application performance is not merely a technical requirement but a critical business strategy.
Performance issues can derail even the best apps
Improving employee and customer experience is a central goal of digital transformation. Yet, no matter how many bells and whistles you offer users, the basics matter most. If your applications aren’t fast and accurate, customers will abandon them and switch to a competitor’s. The same goes for employee experience. Underperforming internal applications can affect business operations and employee productivity.
Application performance issues can manifest in various disruptive ways. For customers, slow page load times, frequent downtime, and transaction failures not only frustrate but also erode trust in your brand. Each second of delay can significantly increase bounce rates and abandon rates, directly affecting sales conversions and ultimately, your bottom line. For employees, the impact of poor application performance is equally detrimental. When critical business processes slow down, it takes longer to get tasks done, frustrating workers, who often create workarounds. The ripple effects of these delays and workarounds can disrupt workflow efficiencies and escalate operational costs.
Moreover, in today's technology-driven market, the complexity of maintaining optimal performance has escalated. Modern IT environments often involve a mix of on-premises and cloud-based resources, with applications distributed across multiple platforms and geographies. This distributed nature can obscure visibility and control, making it challenging to pinpoint the origin of performance bottlenecks.
To avoid these situations, IT organizations need real-time visibility into exactly how their applications are performing, as well as a clear understanding of priorities and root causes. Enter application performance monitoring. Tools that monitor performance are more crucial than ever because they meet the requirements for visibility and diagnosis, and they also provide analytics to prevent future issues before they affect users. By integrating APM into your IT strategy, you can ensure a more resilient, responsive, and user-focused digital infrastructure.
What is application performance monitoring?
Application performance monitoring (APM) involves tracking key metrics and using telemetry to identify any issues that could arise in your software. In other words, it’s the practice of monitoring and optimizing the way applications perform using specialized tools.
APM provides insights into application behavior, response times, resource utilization, and other metrics to indicate how an application is performing. These insights are critical, as they allow IT teams to detect subtle changes in application performance that could signify underlying problems. By continuously monitoring these metrics, APM tools help ensure that applications meet expected service levels and provide a seamless user experience.
It’s important to note that APM goes beyond mere problem detection. It empowers organizations with actionable intelligence to optimize application performance proactively. For example, by analyzing patterns and trends in data, APM can help pinpoint inefficiency and suggest areas for improvement, such as code optimization, server configuration adjustments, or resource allocation enhancements.
The real-time nature of APM enables immediate response to performance anomalies—minimizing downtime and mitigating potential impacts on business operations. This is crucial for maintaining user satisfaction and preserving organizational productivity and competitiveness. And because APM tools integrate with other IT management systems, they enable a holistic view of technology operations. This integration facilitates collaboration among development, operations, and quality assurance teams, helping to streamline workflows and speed up problem resolution.
By providing a comprehensive, 360-degree view of application performance, APM enables organizations to predict and prevent issues before they impact users or the business. It plays an indispensable role in the IT strategy of any modern enterprise aiming for high operational efficiency and customer satisfaction.
Why monitoring applications matters
It’s hard to overstate the benefits of application performance monitoring. First, APM provides real-time insights that allow you to react quickly when issues arise. It gives you visibility into the health of your applications, helping you detect and troubleshoot problems more effectively. This reduces downtime and improves the user experience.
App performance management offers contextual data that can reduce an application’s mean time to recovery (MTTR). With detailed information about the root cause of application slowdowns, you can quickly diagnose and resolve problems, minimizing the impact on your customers, users, and business operations.
Best-in-class APM tools also contribute to engineering productivity improvement. Because they provide actionable insights into how your applications are behaving, your engineering teams can focus their efforts on optimizing and refining the code.
Additionally, APM facilitates a more proactive approach to maintenance and upgrades. By identifying trends and potential issues before they become critical, organizations can plan and execute maintenance activities with minimal disruption to users. This proactive stance not only enhances application reliability but also extends the lifespan of IT investments by ensuring they continue to meet performance standards.
Another significant advantage of APM is its role in supporting DevOps practices. The insights gained from monitoring tools help bridge the gap between development and operations teams, fostering a more collaborative environment. This integration leads to faster deployment cycles and a more agile response to market demands.
Moreover, APM can significantly enhance security posture. By monitoring application behavior and performance, APM tools can detect anomalies that may indicate a security threat, such as unusual activity or unexpected changes in traffic, enabling quicker responses to potential breaches.
Ultimately, the strategic implementation of APM not only boosts operational efficiency but also supports broader business objectives. By aligning IT performance with organizational goals and customer expectations, it contributes to overall business success.
What’s the difference between application performance monitoring and application performance management?
Application performance monitoring and application performance management might seem interchangeable at first glance, but they have distinct meanings and serve different purposes in the broader spectrum of ensuring optimal application performance.
APM is fundamentally about the continuous tracking of application metrics to provide a real-time snapshot of their health. APM tools focus on detecting and diagnosing complex application performance problems to maintain an expected level of service by collecting data points like response times, server loads, and transaction volumes. APM thus offers a diagnostic lens through which IT teams can observe the operational status of applications and react quickly to any anomalies that occur.
On the other hand, application performance management is a broader strategy that includes monitoring and adds the methods and tools used to analyze, track, and enhance the performance of software applications. It’s a more holistic discipline, integrating the insights gained from monitoring tools with business objectives to manage application performance proactively. It involves setting performance benchmarks, analyzing root causes of issues, and implementing corrective measures to meet both current and future demands effectively.
While monitoring provides the data necessary for effective management, performance management uses this data to drive decisions that optimize application outputs, improve user experiences, and ultimately align IT performance with business growth strategies. Thus, while APM tools provide the what and when of performance issues, application performance management addresses the how and why, leading to more strategic improvements and innovations within IT infrastructures.
The challenge of APM with cloud-native applications
Given the complexity of the cloud environment, cloud-native applications present additional challenges when it comes to APM. Microservices, containers, and orchestration platforms are dynamic by nature, and the relevant metrics for analysis and troubleshooting are more difficult to capture.
For example, microservices are typically run on distributed infrastructure components. Therefore, each one can be scaled independently of all the others. This can improve the application’s availability, durability, and efficiency, but it also makes maintaining a holistic view of the application a challenge. And without full visibility into every layer of your distributed applications and infrastructure, detecting and resolving critical issues is difficult.
In addition, these applications generate massive amounts of data, so distinguishing the critical metrics that reflect actual issues you need to address from the noise can be difficult. And due to the rapid scaling and ephemeral nature of cloud-native resources, problems can pop up intermittently, which makes it difficult to reproduce them. Identifying the possible root causes is quite difficult in these conditions.
APM in a cloud environment requires specialized tools and approaches that can capture and consolidate data from different microservices into a cohesive picture with intelligent data analysis and filtering. The lack of a single source of information can create complexity, as engineers pivot from one to the next to get a unified view of the environment.
Key components of application performance monitoring
Various APM components monitor resources including memory usage, servers, CPU utilization, and network components, as well as directly monitoring end-user experience. Here are the key components.
Real user monitoring
Real user monitoring (RUM) focuses on collecting and analyzing detailed data about user interactions with an application. RUM observes actual user transactions and captures metrics such as page load times, network latency, and user interactions.
Synthetic monitoring
This type of monitoring creates artificial or synthetic transactions that mimic real user behavior and follow predefined paths through the application. They allow you to collect data from various layers in your architecture. They provide comprehensive insights into the load and response times of critical pages to identify potential issues before they impact real users.
Infrastructure monitoring
The focus here is monitoring the underlying infrastructure supporting the application, including servers, networks, and virtualization platforms. It helps in identifying any infrastructure-related issues that may slow down the application's responses to user requests.
Best practices for APM
As the saying goes, an ounce of prevention is worth a pound of cure, which is why APM should be built into the entire application development process—not just in the production environment. By shifting performance monitoring left in DevOps, you can uncover and respond to root causes more quickly and get better-performing applications to market sooner.
In addition to making sure it’s part of your development process, you should conduct regular performance testing throughout the development cycle. This involves not only load testing under expected conditions but also stress testing to understand the application's behavior under extreme conditions. Such practices help ensure that performance bottlenecks are identified and addressed before the application goes live, thereby reducing the risk of post-deployment issues.
Moreover, integrating APM tools with continuous integration and continuous deployment (CI/CD) pipelines facilitates continuous monitoring and feedback, which is vital for agile development environments. This integration helps maintain a constant overview of application performance, allowing developers to iteratively and incrementally improve the application with each release.
Finally, embracing a culture of performance optimization across the organization is essential. This means encouraging collaboration between developers, testers, and operations teams to share insights and strategies for enhancing application performance. By fostering this collaborative environment, organizations can ensure that performance considerations are embedded in every stage of the application lifecycle, leading to more robust and efficient applications.
An app dev platform with APM built in
Monitoring and optimizing the performance of applications is a critical component of achieving digital transformation. APM offers insights into application behavior, response times, resource utilization, and more. It helps you predict and prevent issues before they impact customers, employees, or the business. Therefore, APM should be built into any application development platform used to build modern applications. It should also offer the ability to integrate with third-party application tools.
A best-in-class application development platform will provide built-in monitoring and analytics tools that make it easier to detect, identify, and troubleshoot issues in real time. Look for a platform that instruments all applications to collect logs and events and store them in a standard relational database. These metrics should be collected by default, requiring no extra work on the part of developers and adding no overhead to the runtime environment.
To learn more about the built-in application performance monitoring capabilities of OutSystems, check out our evaluation guide.
Forsyth Alexander
Since she first used a green screen centuries ago, Forsyth has been fascinated by computers, IT, programming, and developers. In her current role in product marketing, she gets to spread the word about the amazing, cutting-edge teams and innovations behind the OutSystems platform.
See All Posts From this authorRelated posts
Forsyth Alexander
February 20, 2023 6 min read
Brian van den Brink
October 15, 2020 10 min read