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Build a Cypress tests infrastructure for serverless applications

When a startup is in its very early stages, rapid iteration and dynamism are at the top of its priorities. The ability to do so, while maintaining a stable and high-quality product, is a big challenge facing the R&D group. We want to release features as quickly as possible, but this rapid velocity cane cause conflicts when writing in-depth, comprehensive tests.

AWS Lambda: function URL is live!

AWS announced the release of the Lambda Function URLs feature today. In this post, I describe what it is, how it works, and how you can benefit from it. API Gateway and AWS Lambda is a potent combination and lets you build REST APIs without having to worry about the underlying infrastructure. API Gateway offers many powerful features out-of-the-box, including: Understandably you pay a premium for these features.

Serverless observability with OpenTelemetry and AWS Lambda

Nowadays, microservice architecture is a pattern that helps to innovate quicker by enabling easier scalability, giving language flexibility, improving fault isolation, etc. Systems built this way also bring some downsides. Moving parts, concurrent invocations, and different retries policies can make operating and troubleshooting such systems challenging. Without proper tools, correlating logs with metrics may be difficult. To overcome these challenges, you need observability.

Welcome to 10GB of tmp storage with Lambda

Every Lambda function comes with 512MB of ephemeral storage in the shape of a /tmp directory. This storage space can be reused across multiple invocations for the same instance of a Lambda function. Each instance of a function has its own /tmp directory and data is not shared amongst different instances of a function.

The Hidden Magic Of Extensions

As serverless architectures start to grow, finding the right troubleshooting approach becomes a business-critical aspect. This talk will dive into "the instrumentation approach" - keep track of internal events on the lambda and export processed telemetry data. We should handle legacy code, multiple code owners, and a massive stack of serverless technologies as with any real-life project. Our goal is to write as least code as possible, avoid any existing code changes, be cross-runtime, and leave no latency impact.

Serverless in production, lessons learned after 5 years

Serverless has changed the way we build software for the better. But it’s also a paradigm shift that challenges many of our pre-existing practices and habits, like how we test our code and how we monitor their health. In this session, Yan Cui will share many of the lessons he has learned from running serverless in production over the last five years. Including tips on testing, observability, and how to keep your AWS cost in check.