Operations | Monitoring | ITSM | DevOps | Cloud

Page object models (POM) are common to encapsulate test automation logic and improve code readability. Learn in this video how to combine POMs and Playwright fixtures for effective end-to-end testing and synthetic monitoring with an excellent developer experience. Got questions? Join the Checkly community Slack. And tune in next week for more on Playwright, Synthetic Monitoring, and API Monitoring. Happy testing!

AI is at the heart of a revolution in the technology space. Organisations from all industries are looking for ways to put AI to work. Once they have finalised use case assessment, their next question is typically related to the environment they will use to develop and deploy their AI initiatives. They often prefer the public clouds as an initial environment, because of the computing power and ability to scale as projects mature. In addition to the infrastructure, enterprises need software where they can develop and deploy the machine learning models.

Our organization strives to produce the most secure solutions for Everywhere Work.

Discover how to harness API JSON data for Kentik NMS using Telegraf in this insightful video by Justin Ryburn. Learn to containerize with Docker Compose, configure Telegraf to collect and transform metrics, and seamlessly integrate them into Kentik's network monitoring system. A step-by-step guide for enhancing your NMS capabilities with API data.

When observing your data with Grafana, you don't need to be glued to your dashboard 24/7. Join Senior Developer Advocate, Lisa Jung to learn how to set up Grafana to keep an eye on your data and alert you if something needs your attention! The following are covered in this episode: ☁️ Grafana Cloud is the easiest way to get started with Grafana dashboards, metrics, logs, and traces. Our forever-free tier includes access to 10k metrics, 50GB logs, 50GB traces and more. We also have plans for every use case.

There are many different ways to implement Site Reliability Engineering (SRE). From team structures to roles and responsibilities to planning and prioritization flows, there’s no golden path for how to organize things. As Datadog has shifted from a startup to a quickly-growing public company, we’ve seen our own SRE practice evolve. With over 22,000 customers sending trillions of data points each day, keeping Datadog reliable is critical to our business.

GitKraken lets you do both in just a few clicks! Great for quickly handling contributions from all those forks. 👍

Discover, predict, and resolve errors in real-time. Go beyond crash reporting, error tracking, logging and error monitoring. Get instant and accurate alerts — plus a real-time feed — of all errors, including unhandled exceptions. Our automation-grade grouping uses machine learning to reduce noise and gives you error signals you can trust.

Special KubeCon EU 2024 Episode! She has a wealth of software development, team, and product management experience from working on network protocols and distributed systems, and in digital technology sectors such as VOD, music, and VoIP. When not writing code, or talking about it, Liz loves riding bikes in places with better weather than her native London, competing in virtual races on Zwift, and making music under the pseudonym Insider Nine..