AWS Lambda enables engineering teams to build modern, scalable services without the need to provision underlying infrastructure resources. But monitoring Lambda functions requires visibility into performance indicators that differ from those of traditional architectures—and cold starts are a key example.

A well-designed cloud architecture is essential to ensure that the underlying infrastructure stays operational, within budget, and compliant over time. These days, organizations are rapidly spreading their infrastructure across a broad, complex mesh of interconnected resources and services. It can be difficult to make high-level decisions about the design and management of these systems. This is why many organizations are now turning to cloud infrastructure modeling tools.

React Native has become the predominant development framework for cross-platform mobile applications. By interacting with native APIs largely under the hood and requiring only a fractional proportion of platform-specific code, it allows you to build applications for iOS, Android, and the browser using the same declarative JavaScript. But this cross-platform adaptability has its downsides.

Datadog Real User Monitoring (RUM) provides end-to-end visibility into the user experience and performance of your browser and mobile applications. RUM allows you to capture and retain complete user sessions for 30 days. This means you can pinpoint bugs, prioritize issues, and determine fixes with data collected across an entire quarter.

Properly testing a service’s APIs to ensure that it can handle production traffic presents many challenges for engineers—SREs need to guarantee the resiliency of their application, while developers must ensure that their features perform well at any given scale. Speedscale is a testing framework built for Kubernetes applications that enables you to load test with real-world production scenarios by replaying actual API traffic that your application has experienced.