Operations | Monitoring | ITSM | DevOps | Cloud

Honeybadger Insights is pretty great. It's even greater when you connect it to Cloudflare and start shipping logs directly from Cloudflare Workers to Insights. If you're already using Cloudflare to distribute your applications, it's easy to set up. Cloudflare Workers logs capture what your application is doing at the edge: console.log() output, uncaught exceptions, and system-generated logs for each request.

We just added two new AI features to our app: natural-language translation for Error search and Insights queries. Honeybadger has two query languages: Error search speaks a simple token syntax in the spirit of Solr or a basic Elasticsearch query, while Insights runs on BadgerQL (BQL), our own language for digging into your event data, designed to feel familiar to CloudWatch Insights and Splunk users. Both are powerful, but sometimes you just want something that works without having to open up the docs.

Deployment is not the end of shipping your application. From time to time, you will get errors that you will need to attend to. Without a good method of catching errors or logs in general, you could end up with uncaught issues that might cost you valuable customers in the process. In this article, you will learn how to catch logs for an application deployed on Fly.io. You will learn how Fly.io logging works, then learn ways to handle logs natively on the platform.

Your MCP client doesn’t need your whole API key just to look up an error anymore. Honeybadger's hosted MCP server now supports OAuth. You can approve it through your browser, scope your permissions, revoke your permissions, and rest easy knowing that our tokens auto-refresh and don’t sit around in a config. Keep reading to see how it works and get a quick recap of everything else that shipped this cycle.

Your status page is a bridge to your customers. It’s where you show what you can do and prove that your product is more than just sales talk. Though easy to overlook, it provides an opportunity to showcase all that’s best about your services. The trick is how to do it well. Fortunately, there are many outstanding status pages that you can draw inspiration from. Once your ideas take shape, you're ready to present your vision to customers.

Let's walk through setting up SIEM (Security Information and Event Management) alerts to monitor security threats in applications. We will explain what SIEM alerts are, why they're relevant with regard to application security, and provide practical examples of common alerts a developer could implement. We will show how to configure simple alerts with Honeybadger Insights.

Heroku vs AWS: these cloud platforms represent fundamentally different approaches to application cloud hosting. The decision between them often determines whether your team ships features in hours or spends days configuring infrastructure. Both platforms represent different philosophies in cloud computing, with Heroku prioritizing developer experience while AWS maximizes infrastructure control.

At some point, logs stop being enough. As applications grow more distributed, understanding what's actually happening in production becomes harder. That's what observability platforms are built for. The hard part is figuring out which one is actually right for your application — and your budget. This guide covers some popular options: what they do well, where they fall short, and who they're for.

When you have a lot of websites, SSL certificate expiration monitoring can be a lot of work, especially without using a certificate authority such as Let's Encrypt. The last thing you want is an outage because a random SSL certificate wasn't set to auto-renew and expired! Honeybadger has your back! That's why we added SSL certificate warnings to our existing uptime monitoring feature.

If you are deciding where to deploy a web app, you will almost always run into a choice between a platform like Heroku and running on Kubernetes. This article will compare Heroku and Kubernetes. They are two popular platforms for deploying and managing applications. This article breaks down the key differences in architecture, use cases, complexity, cost, and scalability to help engineers choose the right go-to platform for their needs.