Organizations have many ways of ensuring that their systems are functioning properly. One of the most important things to measure, when assessing the performance of a system, is the end user experience.
Can users access the system quickly? Do they experience errors while accessing the system? Can they easily interact with the system across all the available channels? For the IT department, the answers to these questions determine whether or not the system is functioning properly. For the organization, they reveal the most important thing – whether or not their customers are happy, and are likely to continue using their services.
There are two ways to monitor user transactions and interactions with your website:
Real User Monitoring
This method uses a passive monitoring system, documenting all actions of users as they interact with your website. The feedback, generated in real time, is automatically assessed against established benchmarks, to correctly measure the quality of delivered services.
Real user monitoring systems have many advantages – you get to know exactly how visitors to your website experience all its features and applications, and how the website is performing for your end users in various geographic locations. The biggest problem with this method is that you won’t know about any website issues until at least one user gets to experience an existing problem.
Synthetic User Monitoring
This method simulates user experience on your website. It works by scripting typical user actions, and then simulates user click at regular intervals, to ensure that your website is responsive.
This method enables you to proactively catch any existing problems before your end users get to experience slow or unresponsive applications, or encounter other errors.
The obvious downside is that this method requires you to spend time scripting typical user actions. In addition, if your website changes frequently, you’ll need to periodically update your scripted scenarios.
In addition to websites, synthetic transactions can be used to monitor databases and TCP ports.
Organizations need a solution that can help recognize potential system problems by categorizing and visually presenting information concerning end user behavior and website performance in real time. In addition, such solution should also offer a way to script common user transactions and monitor the system’s performance 24x7.
End user monitoring reflects end user health, but doesn’t tell you the root cause of a problem. Linking end user monitoring data with application and infrastructure monitoring data enables organizations to determine the impact of a problem, rank its priority and quickly navigate to the root cause.
Dennis Rietvink is Co-Founder and VP of Product Management at Savision
The Latest
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...
Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...
Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...
High-business-impact outages are costly, and a fast MTTx (mean-time-to-detect (MTTD) and mean-time-to-resolve (MTTR)) is crucial, with 62% of businesses reporting a loss of at least $1 million per hour of downtime ...
