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MerLoc - Local Debugging for Serverless Applications: Why and How

Offering quick deployment, scalability, and a broad range of supported tools, serverless applications are becoming increasingly popular. Flexible pay-as-you-go payment plans offered by most cloud services help minimize costs, adding a financial incentive as the cherry on top of the developer’s cake. But as we know, software engineering is a game of trade-offs, and serverless architectures come with their own challenges.


What is continuous deployment?

After working on a new feature or an improvement, it's normal that you want to deliver these changes to your users as fast as possible. Depending on your deployment pipeline, confidently deploying changes to production might include coordinating with whoever is leading on-call, getting their approval, manually deploying your changes, spending hours to monitor how it goes, and performing a rollback in case something goes wrong.


AWS Lambdas with TypeScript: Improve the Dev Experience

In part one of this series, we successfully built a TypeScript Lambda on the AWS cloud. But we left a lot of room for improvement in terms of the developer experience. For starters, the Lambda didn’t run on a local machine, which is cumbersome. The code we wrote is also not testable, which makes refactoring hard or, at least, dangerous. In this take, let’s focus on improving the developer experience. The goal is to make the code more robust and easier to work with. Ready?


What is a service mesh?

A service mesh is a dedicated infrastructure layer that manages traffic, also known as communication, between services in applications composed of containerized microservices. It is a critical component in a microservices architecture, responsible for the secure, fast, and reliable communication between services. This article answers a lot of the questions you may have about service meshes: What are they and how do they work? Who is using them and why?

Visualize Azure serverless workflow progress in realtime with pubsub

A suitable way to update a front-end from back-end processes is to use pubsub over WebSockets. In this video I'll show how to use Ably, a cloud based pubsub service, to visualize the progress of a serverless workflow implemented with Azure Functions and Durable Functions. About Ably Ably is an enterprise-grade pub/sub messaging platform. We make it easy to efficiently design, quickly ship, and seamlessly scale critical realtime functionality delivered directly to end-users. Every day, we deliver billions of realtime messages to millions of users for thousands of companies.