Operations | Monitoring | ITSM | DevOps | Cloud

Many of our customers frequently ask us how they can calculate the ROI of their observability platforms. It’s a tough question, and one that comes up because company decision-makers often feel like they may be overpaying for observability when things are running smoothly – especially when it comes to their applications.

Every action, transaction, and interaction in an application generates some sort of data. ThisAnd this data holds a wealth of information that, when collected and analyzed over a period of time, provides a comprehensive view of application behavior and performance. Logging is the most widely used technique for collecting data on application states, transactions, errors, and code flow tracking.

Almost everyone acknowledges that log monitoring is essential for maintaining the reliability, security, and performance of modern applications. However, the complexities increase as organizations adopt diverse architectures to effectively manage the various log data challenges they encounter. In our previous blog post, we discussed the significance of log monitoring alongside a few popular log monitoring tools available in the market today.

In its simplest terms, log monitoring is the process of systematically collecting, storing, analyzing, and alerting on log data generated by various systems, applications, and devices within a DevOps environment. Logs are essentially records of events, transactions, and activities that occur within these systems. They can contain valuable information about system errors, performance metrics, user activities, and security events.

As a company built with open-source, community, and cloud-native technologies at its core, OpsVerse loves attending (and speaking at) CNCF events. And with KubeCon + CloudNativeCon Europe ending a couple of weeks ago, we figured now’s the perfect time to ask some of our engineers which talks they enjoyed the most across KubeCon and in the parallel co-located community days. Here’s what they said.

Picture this: A popular ecommerce web application experiences a sudden increase in user complaints concerning slow page load times and errors during the checkout process. Users are expressing frustration, and the customer support team is flooded with complaints. The website has just set up a major online sales event. The marketing team has also launched extensive campaigns to further market the event, expecting a surge in user traffic.

Real User Monitoring (RUM) is a type of performance monitoring that involves tracking and analyzing user interactions with a website or web application in real-time. RUM provides valuable insights into how users experience a website or an application by collecting data directly from their browsers and devices during these interactions. Unlike traditional performance monitoring methods that focus on server-side metrics, RUM provides real-time insights into actual user behaviors.

In a digital era where user experience is often a critical component of business success, understanding the need for front-end monitoring is crucial. We’ve all experienced the frustration of a slow-loading website or glitchy interface – it’s the online equivalent of waiting in a long line at a grocery store. However, these seemingly minor hiccups can have a profound impact on a company’s bottom line.