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Debugging

Debugging Just Got Faster and Easier With New Enhancements to BubbleUp

BubbleUp is Honeycomb’s machine-assisted debugging feature and is one of our most powerful differentiators. It leverages machine analysis to cycle through all of the attributes found in billions of rows of telemetry to surface what is in common with problematic data compared to baseline data. This explains the context of anomalous code behavior by surfacing exactly what changed when you don’t know which attributes to examine or index, dramatically accelerating the debugging process.

7 Must-Have Steps for Production Debugging in Any Language

Debugging is an unavoidable part of software development, especially in production. You can often find yourself in “debugging hell,” where an enormous amount of debugging consumes all your time and keeps the project from progressing. According to a report by the University of Cambridge, programmers spend almost 50% of their time debugging. So how can we make production debugging more effective and less time-consuming?

How to De-Risk Product Launches with Device Reliability Engineering

You're expected to deliver your IoT and edge devices on time. Once shipped, your customers expect the devices to work perfectly 100% of the time with regular updates that deliver new features. How can your product and engineering teams meet your deadlines and the growing demands of your customers? In this recorded webinar, Memfault CEO François Baldassari discusses how to utilize reliability engineering techniques to de-risk product launches and ship on time.

Monitoring and Debugging Python Apps on AWS Lambda

As a developer, Python for me is a heavy-lifting and versatile language. I’ve used it for building APIs, internet of things projects, file and data conversions, machine learning and (of course) web development. Like with any modern, commonly used language, the functionality behind the application is only as good as the infrastructure that it is deployed onto.

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Top Tools to Help Debug Kubernetes Applications

When building cloud-based applications, managing the infrastructure becomes a bigger challenge as you scale. Kubernetes brings order to the chaos, letting you control and automate the containers used to deploy your application. Debugging in the cloud presents further challenges, and the complexities of distributed applications make it hard for many debugging setups to keep pace. Tools designed to run locally aren't effective. However, there are Kubernetes debugging tools that can handle the shift in paradigm. In this article, you'll read about several options that make debugging Kubernetes applications much easier.

How to Build and Maintain IoT Management Systems for Scale

Building a management system for your IoT devices is a time-intensive, expensive, and difficult process. And once you build it, you're not done. Maintaining and updating the solution will continue to take up time and resources that will only increase as you scale the number of deployed devices. During this webinar learn how to employ reliable systems that won't break once you scale. Our speakers will cover.

Debugging Node.js HTTP Requests

HTTP is the backbone of all API-centric, modern web apps. APIs are the place where the core business logic of an application lives. As a result, developers spend a lot of time optimizing the API business logic. This article addresses a Node.js developer’s dilemma while debugging an HTTP API request. We take a sample Node.js/Express.js-based HTTP service to demonstrate a new way of debugging Node.js applications using the Lightrun observability platform.