In the dynamic realm of synthetic monitoring, where ensuring the performance and availability of critical aspects of web applications is a must, an important aspect has been missing – support for monitoring sign-in processes that use Multi-Factor Authentication (MFA). Until now, no synthetic monitoring product on the market has adequately addressed the challenge of monitoring transactions that require the input of MFA code.
Stay on top of issues and easily forecast usage for Ably-powered realtime applications in your out-of-the-box Datadog dashboards. Cloud-based applications providing live user experiences at scale need to measure their realtime infrastructure’s state and health at all times. Imagine a customer support chat system supporting thousands of businesses or a live sport event delivering updates to millions of fans.
Increased costs and wasted resources are on the rise as software systems have moved from monolithic applications to distributed, service-oriented architectures. As a result, over the past few years, interest in observability has seen a marked rise. Observability, borrowed from its control theory context, has found a real sweet spot for organizations looking to answer the question “why,” that monitoring alone is unable to answer.
When monitoring cloud resources, there are several factors to consider.
When monitoring cloud resources, there are several factors to consider.
This article will teach you how to monitor Ruby errors without using a service like Honeybadger! Learn about Ruby's built-in errors, how to use log levels and tagging to customize the log output, display errors on the front-end, and more.