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Make your end-to-end tests more stable with Playwright's user-first selectors

Learn in this video how Playwright's user-first locators like getByRole help to write more stable tests and improve your product user experience. Use nth() or filter() to select elements by their semantic surrounding elements, and avoid relying on implementation details to test your sites.

Diving into JTAG - Overview (Part 1)

As the first segment of a three-part series on JTAG, this post will give an overview of JTAG to set up some more in-depth discussions on debugging and JTAG Boundary-Scan. We will dive into the intricacies of the interface, such as the Test Access Port (TAP), key registers, instructions, and JTAG’s finite state machine. Like Interrupt? Subscribe to get our latest posts straight to your inbox.

How Generative AI Makes Observability Accessible for Everyone

We are pleased to share a sneak peek of Query Assistant, our latest innovation that bridges the world of declarative querying with Generative AI. Leveraging our large language models (LLMs), Coralogix’s Query Assistant translates your natural language request for insights into data queries. This delivers deep visibility into all your data for everyone in your organization.

A Guide to Predictive Maintenance & Machine Learning

Various economic pressures on businesses have created a focus on new and innovative ways to manage operational costs. At the same time, businesses are looking at using IT to help manage overall business costs and increase income—for example, by supporting remote working, and in many cases, enabling e-commerce to replace closed retail outlets. Management of infrastructure to minimize downtime has two major benefits: reductions in support and maintenance costs and improvements in service levels.

Generative AI explained

When OpenAI released ChatGPT on November 30, 2022, no one could have anticipated that the following 6 months would usher in a dizzying transformation for human society with the arrival of a new generation of artificial intelligence. Since the emergence of deep learning in the early 2010s, artificial intelligence has entered its third wave of development. The introduction of the Transformer algorithm in 2017 propelled deep learning into the era of large models.

DevAlert 2.0 Now Available

DevAlert 2.0, which is now immediately available from Percepio, is a major upgrade to our edge observability platform. The upgrade provides much improved diagnostic capabilities, including core dumps for Arm Cortex-M devices. This allows remote inspection of crashes, errors or security anomalies in full detail, including the function call stack, parameters and variables and with source code display.

The Silent Revolution in Education: A Guide to Transcription Tools

In the ever-evolving landscape of education, where the traditional meets the technological, there exists a silent revolution that is quietly reshaping the way we teach and learn. This guide aims to delve into the often-overlooked hero: academic transcription services. Born out of the necessity to document lectures, these services have undergone a remarkable evolution, transforming into versatile tools that cater to diverse learning needs, ultimately making educational content more accessible than ever before.

Using Honeycomb for LLM Application Development

Ever since we launched Query Assistant last June, we’ve learned a lot about working with—and improving—Large Language Models (LLMs) in production with Honeycomb. Today, we’re sharing those techniques so that you can use them to achieve better outputs from your own LLM applications. The techniques in this blog are a new Honeycomb use case. You can use them today. For free. With Honeycomb.