Operations | Monitoring | ITSM | DevOps | Cloud

Avoid flaky end-to-end tests due to poorly hydrated Frontends with Playwright's toPass()

In this video we'll dive into the world of flaky tests in Playwright and synthetic monitoring with Checkly. We examine a site with poor Frontend hydration patterns, their effect on test stability, and how to work around them. Learn how to avoid using artificial delays and implementing a retry mechanism with Playwright's 'toPass()' method to achieve stable testing instead.

How to automate image analysis with the ChatGPT vision API and Grafana Cloud Metrics

OpenAI’s ChatGPT has an extraordinary ability to process natural language, reason about a user’s prompts, and generate human-like conversation in response. However, as the saying goes, “a picture is worth a thousand words” — and perhaps an even more significant achievement is ChatGPT’s ability to understand and answer questions about images.

Transforming Human Interaction with Data Using Large Language Models and Generative AI

AI has been on a decades-long journey to revolutionize technology by emulating human intelligence in computers. Recently, AI has extended its influence to areas of practical use with Natural Language Processing and Large Language Models. Today, LLMs enable a natural, simplified, and enhanced way for people to interact with data, the lifeblood of our modern world. In this extensive post, learn the history of LLMs, how they operate, and how they facilitate interaction with information.

Best practices for monitoring software testing in CI/CD

A key challenge of monitoring your CI/CD system is understanding how to optimize your workflows and create best practices that help you minimize pipeline slowdowns and better respond to CI issues. In addition to monitoring CI pipelines and their underlying infrastructure, your organization also needs to cultivate effective relationships between platform and development teams.