Operations | Monitoring | ITSM | DevOps | Cloud

Right now. Without any training or extra “work” needed on your part. If you’re an emergency medical technician (EMT,) utility lineman, forklift operator, delivery driver, or other frontline worker who can’t do much without your rugged tablet, there’s one thing that comes to mind: AI can reduce button pushes. What do I mean?

OpenTelemetry (OTel) is supposed to be the great equalizer in observability, giving teams full control over how they collect, process, and store telemetry data. It was built to be open, flexible, and vendor-neutral. Grafana Alloy claims to be OpenTelemetry-compatible, but scratch beneath the surface, and you’ll see that, based on our investigations, it is not a neutral OpenTelemetry Collector.

The push towards digital transformation and cloud-native infrastructure is massive, yet organizations also need to maintain legacy capabilities. With this pressure comes the need to manage operations with the same rigor and automation we apply to infrastructure, coding, and security. Many organizations have embraced the ideas of everything in a pipeline and all things as code.

Ever wish your cloud bill came with a “cut by 40%” button? While we haven’t invented that (yet), we’ve built something even better. Tidal Accelerator now automatically identifies where AWS Graviton instances can slash your cloud costs and boost performance—all without the guesswork.

One of the most important features in a comprehensive enterprise-grade web monitoring solution is synthetic monitoring. Below, we answer some frequently asked questions, so that you can clearly understand what this is, how it works, and why it’s essential vs. optional.

As software teams race to integrate AI into their development workflows, we need to ask ourselves: are AI-powered tools actually making software better? The latest research from DORA confirms what many engineers have long suspected, and what we at Honeycomb have said for a long time: AI tools don’t magically lead to better software. In fact, without careful implementation, AI can introduce a whole slew of challenges, including decreased productivity and unreliable code.

Telecommunications (telecom) is the foundation of modern connectivity, enabling the transmission of voice, data, and multimedia across vast distances. Telecom companies build, operate, and maintain extensive infrastructure that supports everything from mobile networks and broadband internet to enterprise communication systems. This infrastructure includes fiber-optic cables, cell towers, satellite systems, and data centers that work together to deliver seamless connectivity.

Playwright isn’t a testing framework. Sure it’s got assertions, scripted behaviors, even controls over environments. But testing isn’t Playwright’s only purpose. Playwright is an automation tool. It can carry out any browser-based action consistently, and carry out instructions robustly. Locators for buttons and other elements aren’t visual or CSS class-based, but based on ARIA role, and even small styling changes won’t make the scripted action fail.

Monitoring and observability are critical for ensuring system performance, stability, and reliability. New Relic and Zabbix are two widely used monitoring solutions, each catering to different needs. While Zabbix focuses on comprehensive infrastructure monitoring, New Relic excels in application performance monitoring (APM) and full-stack observability.

Healthchecks can now notify you about a failing check by opening a new issue in your chosen GitHub repository. Here is an example of how the GitHub issue might look: The technical side of creating a new issue is straightforward: GitHub has an API call for creating an issue. You make an HTTP POST request with an access token in a request header and the issue title, body, and labels in the request body. However, where do we get the access token from? The API call accepts three types of access tokens.