Systems | Development | Analytics | API | Testing

Data Quality Monitoring: Enabling Reliable, High-Integrity Data

In this demo, we’ll show you how to create a custom Data Metric Function (DMF), associate it with your tables for continuous data quality monitoring, and query the results from a centralized table. Watch to learn how built-in monitoring helps you track critical data objects, identify quality issues, and take quick action to ensure reliable, high-integrity data across your organization.

Measure Rendering Metrics and Maintain Seamless Visuals

Visual glitches frustrate users and put the reputation of your business at risk. When people interact with an app, they expect a seamless experience. But when frame rates drop, scrolling becomes jittery, or screens freeze, frustration sets in – causing users to abandon your app and take their business elsewhere. SmartBear Insight Hub empowers developers to create high-quality user experiences on their applications. Performance monitoring is a key part of this process.

Boost Your Revenue and Customer Satisfaction with Real User Monitoring

Real user monitoring (RUM) is a type of application performance monitoring that provides insights on how people interact with your app. With RUM, you can see what your users see by monitoring key elements of their experience within your application. There’s lots of industry buzz about observability, but for good reason. RUM is a critical part of digital experience monitoring because it’s incredibly valuable to understand user behavior and preferences.

Achieving Observability Goals: A Conversation with TestGuild

Last month, TestGuild’s Joe Colantonio sat down with two of SmartBear’s product wizards to discuss the world of developer observability and upcoming trends. Eran Grabiner is co-founder of distributed tracing tool Aspecto, which was acquired by SmartBear earlier this year. Right now, he works as Director of Product Management for Aspecto spearheading observability projects. Justin Collier is a longtime member of the SmartBear team and currently serves as Senior Director of Product Management.

How to Track Errors in Oban for Elixir Using AppSignal

When developing an Elixir app, you'll often need to handle tasks in a way that does not interrupt the normal user request-response cycle. Tasks like sending emails are great examples of jobs that should be delegated to a capable background job processing service. In the Elixir ecosystem, Oban is one such background job processing library. In this article, we'll learn what Oban is, how it works, and how to instrument it using AppSignal.

10 Essential Monitoring Best Practices for DevOps & Developers

Effective monitoring is crucial for maintaining robust application performance, proactive issue detection, and efficient resource management. This guide covers ten essential monitoring best practices that developers and DevOps teams can use to improve observability and keep applications running smoothly. By following these practices, teams can ensure systems are resilient, secure, and provide a seamless user experience.

Stop Using TCP Health Checks for Kubernetes Applications

As developers, one of the most important things we can consider when designing and building applications is the ability to know if our application is running in an ideal operating condition, or said another way: the ability to know whether or not your application is healthy. This is particularly important when deploying your application to Kubernetes. Kubernetes has the concept of container probes that, when used, can help ensure the health and availability of your application.

Top Product Observability Tools to Boost Business Efficiency

As software systems grow more complex, ensuring reliable performance and delivering a seamless user experience becomes increasingly challenging. Product teams need the ability to track and analyze system behavior in real-time, allowing them to address issues before they affect users. Product observability offers a proactive approach, enabling teams to gather data, monitor system health, and make informed decisions based on a complete view of both infrastructure and user interactions.