Operations | Monitoring | ITSM | DevOps | Cloud

Many businesses in the current market have integrated both DevOps and agile to stay ahead of the competition. A recent report showed that 97% of companies have now shifted to using agile development methods. By implementing the two concepts, businesses achieve higher customer satisfaction levels and more brand loyalty. One element that makes it possible to achieve these goals is process automation.

Many businesses in the current market have integrated both DevOps and agile to stay ahead of the competition. A recent report showed that 97% of companies have now shifted to using agile development methods. By implementing the two concepts, businesses achieve higher customer satisfaction levels and more brand loyalty. One element that makes it possible to achieve these goals is process automation.

End-User Experience Monitoring (EUM) is a web performance monitoring option that helps keep track of users' behavior or actions as they interact with an application. A business monitors and uses the findings to analyze data and work on it to create an optimized user experience. The monitoring involves what the user does and how the delivery of the application affects them. The impact of the action is critical to understanding how you can scale up or maintain the performance of your system.

We consistently release helpful updates and fun features in Grafana Cloud, our fully managed observability platform powered by the open source Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). In case you missed it, here’s a roundup of the latest and greatest updates for Grafana Cloud this month. You can also read about all the features we add to Grafana Cloud in our What’s New in Grafana Cloud documentation.

Here at Grafana Labs, we have a long-standing commitment to helping our users understand how their applications and services behave from an external point of view. This critical practice — known as synthetic monitoring — has been a key focus of ours for nearly a decade. Back in 2015, we released worldPing, our first product to help measure the user experience and improve website performance.

Starting today, Checkly users can send their traces from synthetics checks to Coralogix to view in-depth synthetic user data along with back-end APM based tracing. This gives SRE’s and Operations engineers a new insight into how the system is responding to automated synthetic tests of your service. For Checkly users, integrating with Coralogix data means it’s easy to correlate end-to-end user experience with backend performance, and track poor performance to its root cause.

We live in a data-rich world - every click, swipe, like, share, and purchase online generates data points companies use to optimize offerings. However, even vast real-world data has limitations in developing robust artificial intelligence (AI) and data models, particularly with regard to AIOps (Artificial Intelligence for IT Operations). Enter synthetic data.

Multi-step synthetic transactions, also known as multi-step transactions or multi-step scripts, are automated tests that simulate complex user interactions with a website or web application. Unlike a single-step transaction (like page load), multi-step transactions involve a series of sequential steps or workflows that mimic real-world user journeys.

Two-factor authentication (TFA, sometimes 2FA) is a crucial security measure that adds an extra layer of protection to your online account. It goes beyond the traditional password-based authentication by requiring a second form of verification. In TFA-backed applications, users are supposed to provide two forms of verification before gaining access to their accounts.