Operations | Monitoring | ITSM | DevOps | Cloud

Completing the Kubernetes Monitoring Puzzle

Kubernetes has changed the way many organizations approach the deployment of their applications. But despite its benefits, the additional layers of abstraction and reams of data can cause complexity around Kubernetes monitoring. We’ve seen so much of these challenges borne out in the results of the 2024 Observability Pulse survey. In the survey report, 36% of respondents say Kubernetes poses a challenge, and just 10% of organizations say they have full observability into their environments.

Microsoft SLA for Teams Telephony - 99.999% Uptime Guarantee

This week at Enterprise Connect, Microsoft announced many compelling new Teams features to drive productivity, collaboration and to simplify the lives of its users. One of the most noteworthy announcements is that Microsoft is now delivering a 99.999% Microsoft Teams SLA uptime guarantee for Teams telephony. This covers uptime for calls that take place over the PSTN, including Microsoft Teams Phone, Teams Calling Plans and Audio Conferencing.

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.