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Introducing Mobile Screenshots and Suspect Commits

Nobody likes using an unstable mobile app or even worse, an app that crashes on them. In fact, 9 out of 10 US and UK consumers report uninstalling a mobile application due to poor performance. Crash rates and snappy experiences matter for all applications, but especially for mobile apps. Mobile app crashes and poor performance not only cause users to abandon an app but can also trigger the app to be ranked lower in Apple App Store and Google Play Store search results.

PacSun / antuit.ai: Getting Ahead of Black Friday/Cyber Monday

The start of the holiday shopping season can mean a 600% spike in omnichannel sales. See how PacSun relies upon antuit.ai solutions to efficiently allocate inventory among its 300+ stores, as well as streamline fulfillment of online orders—creating happy customers at lower costs.

StackState: Observability Maturity Model

Monitoring has been used for decades by IT teams to gain insight into the availability and performance of systems. However, today teams require a deeper understanding of what is happening across their IT environments. Modern infrastructure and applications can span multiple domains, are more dynamic, distributed and must support ongoing change. In this atmosphere, it is more difficult than ever to consistently maintain SLOs. Further, many enterprises are using more than 10 monitoring tools running as siloed solutions. The result? IT is unable to proactively detect and quickly diagnose and address issues, especially when they cross boundaries.

Monitor custom serverless metrics with the Datadog Lambda extension

When building serverless applications on AWS Lambda, Amazon CloudWatch provides out-of-the-box metrics that measure the performance, errors, and duration of your functions. Although these standard Lambda metrics provide visibility into your serverless applications, it can also be invaluable to monitor custom metrics that are unique to your use case and application.