When deploying Docker containers to AWS ECS, you can encounter a situation where you want to run an image that requires some configuration. For example, let's say you wanted to run Vector1 as a sidecar to your main application so you can ship your application's metrics to a service like Honeybadger Insights. To run Vector, you only need to provide one configuration file (/etc/vector/vector.yaml) to the image available on Docker Hub.

Oh, I didn't see you there. Hi, I'm Kevin, a developer here at Honeybadger. I've worked for the last year or so developing Honeybadger Insights, our new logging and observability platform. Let's peek into some of the design decisions and philosophy behind the product. In modern software development, the hunt for observable systems has traditionally revolved around the holy trinity of logs, metrics, and traces.

I'm pleased to announce a new feature that we've been building for over a year: Honeybadger Insights. Insights is our take on logging and performance monitoring, helping application developers gain deeper visibility into what's happening with their applications. It goes beyond application monitoring and responding to exceptions and downtime. Insights lets you drill down into the details and step back to see patterns in your data.

PHP is fast but it's performance can suffer when it's overwhelmed by I/O operations such as making a request to an external API or handling file uploads. In this article, you'll learn how to create asynchronous PHP applications using ReactPHP to solve this problem.

Delve into the features and benefits of Honeybadger alongside other error monitoring tools, as we compare their strengths and weaknesses. Find the perfect fit for your needs and elevate your error monitoring game.