Cloud native is the de facto standard approach to deploying software applications today. It is optimized for a cloud computing environment, fosters better structuring and management of software deployments. Unfortunately, the cloud native approach also poses additional challenges in code instrumentation that are detrimental to developer productivity.
Separate “debug” and “release” builds are very common in embedded development. Typically the notion is improved debug capabilities (less aggressive compiler optimizations, more debugging information like logs) vs. highly optimized and hardened production release builds. I’m here to describe disadvantages to this practice, and why it might make sense to consolidate to a single build! Like Interrupt? Subscribe to get our latest posts straight to your mailbox.
In your lifetime as a frontend developer that works with React, you must have come across several issues with debugging a containerized React application. I bet you can relate, you’re certainly not alone. Containerization has become an integral part of best practices for software development teams that want to create, test and deploy applications quickly and efficiently. However, despite its advantages, it also comes with new challenges for debugging and troubleshooting applications.
As React is the most popular JavaScript framework for creating component-based applications, you have access to a solid ecosystem of tools, resources, and best practices that can help with React debugging when something goes wrong. To create a high-quality React application, you can’t skip over the debugging phase of your software development life cycle including everything from addressing error messages coming up in the development phase to monitoring live errors in production.
Code Mappings connect errors to the source code in a repository. And since errors can have paths that are different from the tree structure of the repository, Code Mappings determines the accurate path through a combination of a repository URL and a path transformation. Sentry uses Code Mappings to serve issue context on the issue details page.
Developers are increasingly drawn to Functions-as-a-Service (FaaS) offerings provided by major cloud providers such as AWS Lambda, Azure Functions, and GCP Cloud Functions. The Cloud Native Computing Foundation (CNCF) has estimated that more than four million developers utilized FaaS offerings in 2020. Datadog has reported that over half of its customers have integrated FaaS products in cloud environments, indicating the growth and maturity of this ecosystem.
