The volume of transactions running through websites and mobile apps make customer-facing applications crucial to online businesses. If these applications perform well for their users, they generate revenue for the business. If they don't, they affect the credibility of the business, which in turn affects the overall revenue. It is therefore imperative that businesses understand how well their revenue-critical applications are behaving for their end users.
From an IT team's point of view, understanding the user experience of their applications is becoming challenging as technology evolves. Newer and more complex applications are being written using an assortment of languages. These applications are being deployed on a wide variety of infrastructure components. To add to that, today's users access these modern applications on a variety of devices such as the Web, smartphones, tablets and smart watches.
Fortunately, there are a few means available through which businesses can determine the user experience of their Web applications. Let's take a look at three common approaches:
Real User Monitoring (RUM)
The data gathered through RUM provides answers to questions about user experience such as:
■ How long did it take to load the full page?
■ What is the response time from a network perspective (redirection time, DNS resolution time, connection time)?
■ What is the time interval between sending the request and receiving the first byte of response?
■ What is the time taken by the browser to receive the response and render the page?
■ Are there any problems on the page? If yes, what caused the problem?
■ How is the performance when the application is accessed from different countries?
■ What is the response time across different browsers? Do new application updates affect the performance in a specific version of the browser?
■ How does the application perform in different platforms such as desktop, Web and mobile?
The biggest advantage of monitoring real user data is that it relies on actual traffic to take measurements. There is no need to script the important use cases, which can save a lot of time and resources.
Real user monitoring captures everything as a user goes through the application, so performance data will be available irrespective of what pages the user sees. This is particularly useful for complex apps in which the functionality or content is dynamic.
Although user experience is best tracked at the browser level, application performance monitoring at the server side also provides insight into end-user performance. Server-side monitoring is mostly used in conjunction with real user monitoring. This is because problems originating on the server side can only be efficiently detected using server-side monitoring.
Monitoring performance on the server side involves agent-based instrumentation technology for acquiring and transmitting data. This monitoring approach is used to watch user transactions in real time and troubleshoot in case of issues such as slowness or application bugs.
Developers have to install agents on the application server to help capture and visualize transactions end-to-end, with performance statistics across all components, from the URL down to the SQL level. This visual breakdown reveals the flow of all the user transactions being executed in each layer of the application infrastructure.
Server-side monitoring helps track response time and throughput taken by each application component, with the option to trace transactions end-to-end via code analysis. This helps the IT Operations/DevOps teams identify slow Web transactions and then isolate performance issues down to the level of the specific application code that caused them. The underlying database is also monitored most of the time to determine slow database calls, database usage and overall database performance. With server-side monitoring, users will be able to identify the SQL queries executed during a transaction and thus identify the worst performing queries.
Synthetic Transaction Monitoring
Synthetic transaction monitoring is an active monitoring technique based on the concept of simulating the actions of an end user on a Web application. This method involves the use of external monitoring agents executing pre-recorded scripts that mimic end-user behavior at regular time intervals. The monitoring agents are usually very light and do not create any additional load on network traffic.
Most application performance monitoring solutions provide recorder tools to capture the actions or paths a typical end user might take in an application, such as log in, view product, search and check out. These recordings are saved as scripts, which are then executed by the monitoring agents from different geographical locations.
Since synthetic transaction monitoring involves sending requests across the network, it can measure the response time of application servers and network infrastructure. This type of monitoring does not require actual Web traffic, so you can use this approach to test your Web applications prior to launch — or anytime you like. Many companies use synthetic monitoring before entering production in the form of automated integration tests with Selenium.
Synthetic monitoring does have its limitations, though. Since the monitoring is based on pre-defined transactions, it does not monitor the perception of real end users. Transactions have to be “read-only” because they would otherwise set off real purchase processes. This limits the usage to a certain subset of your business-critical transactions.
The best approach is to use synthetic transaction monitoring as a reference measurement that will help identify performance degradation, detect network problems and notify in case of errors.
Every business is different and has its own requirements that can help to choose which type of monitoring to implement. An ideal strategy would be to use active and passive monitoring techniques side by side so that no stone is left unturned in the pursuit to monitor end-user experience.
The essential value resulting from data-driven processes has become progressively linked with analytics. Once considered a desired complement to intuitive decision-making, analytics has developed into a main focus of mission-critical applications across industries for any number of use cases ...
The question of SaaS-based technology over the past decade has quickly changed from "should we?" to "how soon can we?" even for the most customized and regulated of industries. This macro move toward SaaS has also encouraged a series of IT "best practices" that have potential impacts on the employee digital experience, organizational risk and ultimately, productivity ...
Optimization means improving the performance of your human and technology resources while keeping a watchful eye. To accomplish this, we must have clear, crisp visibility into the metrics relevant to the delivery of workspace applications to your end users and to the devices – the endpoints – they use to be productive ...
As tech headlines flash across my email, the CMDB, and its federated equivalent, the CMS, are almost never mentioned. And yet when I do research, dialog with IT, or support our consulting team, the CMDB/CMS many times still remains paramount ...
Given the size and complexity of today's IT networks it can be almost impossible to detect just when and where a security breach or network failure might occur. It's critical, therefore, that businesses have complete visibility over their IT networks, and any applications and services that run on those networks, in order to protect their customers' information, assure uninterrupted service delivery and, of course, comply with the GDPR ...
A new breed of solution has been born that simultaneously provides the precision of packet-based analytics with the speed of flow-based monitoring (at a reasonable cost). Here are more reasons to use these new NPM/APM analytics solutions ...
A new breed of solution has been born that simultaneously provides the precision of packet-based analytics with the speed of flow-based monitoring (at a reasonable cost). Here are 6 reasons to use these new NPM/APM analytics solutions ...
There’s no doubt that digital innovations are transforming industries, and business leaders are left with little or no choice – either embrace digital processes or suffer the consequences and get left behind ...
Looking ahead to the rest of 2018 and beyond, it seems like many of the trends that shaped 2017 are set to continue, with the key difference being in how they evolve and shift as they become mainstream. Five key factors defining the progression of the digital transformation movement are ...
Companies using cloud technologies to automate their legacy applications and IT operations processes are gaining a significant competitive advantage over those behind the curve, according to a new report from Capgemini and Sogeti, The automation advantage: Making legacy IT keep pace with the cloud ...