Imagine this: you’ve just finished working on your brand new Rails app and have deployed it to a cloud provider like DigitalOcean. Like any developer, you’re very proud of your work but you still have lots of questions, like: Your goal is to provide the best user experience. You want to be notified whenever errors or other important events occur so you can take care of them fast. It would be great to have a setup that automatically monitors your application. Enter AppSignal!

In this article, we'll look at how to track errors in a Flask application using AppSignal. We'll first bootstrap a Flask project, and install and configure AppSignal. Then, we'll introduce some faulty code and demonstrate how to track and resolve errors using AppSignal's Errors dashboard. Let's get started!

Maintaining a deep catalog of knowledge articles to inform end users is an essential — yet often tedious — requirement for IT teams. But generative AI is offering a big assist. By using AI in knowledge bases, service desk agents who used to spend two or three hours creating each knowledge article from scratch can create drafts in minutes.

As a fan of OpenTelemetry, I love to see Cribl meeting customers where they are and helping them get to where they want to be with a vendor-agnostic approach. Where it is not possible or practical to re-instrument a telemetry source, whether an application or infrastructure, the barrier to adopting OpenTelemetry Signals can be daunting.

Recently, TechCrunch hosted a webinar titled, “Unleash the Full Potential of Your Time Series Data,” featuring a discussion with InfluxData Founder and CTO, Paul Dix, and AWS General Manager for Timestream and Neptune, Brad Bebee, moderated by InfluxData staff engineer, Andrew Lamb.

In the fast-paced realm of DevOps and Site Reliability Engineering (SRE), success starts with effective monitoring. Understanding the fundamental metrics is crucial for identifying and mitigating issues proactively. In this article, we’ll delve into the leading metrics frameworks — R.E.D., U.S.E., and the “Four Golden Signals” — which will provide you with a solid foundation to enhance your monitoring practices.

Discover the two simple steps you can take to secure your open source dependency chain. Open-source software (OSS) has become the backbone of modern software development, empowering developers with a vast ecosystem of freely available libraries, frameworks and tools. However, as the old saying goes, ‘there's no such thing as a free lunch’, and the over reliance on OS components introduces significant security risks that can compromise the entire software supply chain.

API monitoring is a process that involves regularly checking the status and performance of APIs to ensure they are functioning correctly. APIs are crucial for the internet, and businesses depend on them extensively. The well-being of APIs directly impacts business success.

Whether you’re a data-driven, data-informed, or data-backed organization, your data remains your most crucial business intelligence resource. All the data you collect for later analysis needs to be stored in a secure location as well. Cloud-based data warehouses offer superior performance, flexibility, and cost benefits.