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How to combine POMs (Page Object Models) with Playwright Fixtures for better developer experience

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!

Agnostic AI: How to Not Choose an AI Provider

Artificial Intelligence (AI) technologies are evolving at breakneck speed. Today's cutting-edge model may become obsolete tomorrow. This rapid evolution, while exciting, presents a challenge – how to leverage the current best AI capabilities without being tied to a single model or provider. At InvGate, we apply a strategy that we call “agnostic AI” (as in platform agnostic).

AI on Public Cloud with Open Source

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 Check Overview Page Has a Fresh New Look

We are very excited to announce that we redesigned our monitoring results chart to make it easier for you to understand check performance over time and easily investigate any past anomaly. The redesign is a result of our UX research that showed that the old check overview chart made it challenging for users to find check results from the past. While we were redesigning our monitoring results charts, we wanted to achieve two things: And, we achieved this in three attempts. Let’s dive in.

How AI and Machine Learning are Revolutionizing the Research Process

The advent of Artificial Intelligence (AI) and Machine Learning (ML) has been nothing short of transformative. Scholars across disciplines are leveraging these technologies to analyze data quickly and accurately, opening new frontiers in knowledge and understanding. The traditional research process, often laborious and time-consuming, is evolving into a more efficient and dynamic practice thanks to the computational power of AI and ML. For example, students who turn to specialized services with requests such as "Write my paper for me" can receive academic papers much faster, thanks to AI.

EV Plugs: Paving the Way for Electric Mobility Transition

As we move towards a greener future, electric vehicles (EVs) are taking center stage. They're not just a trend; they're our ticket to a more sustainable world. But what's making this transition smoother? The humble EV plug. EV plugs are the unsung heroes of the electric mobility revolution. They bridge our power grid and EVs, ensuring we're always ready to roll. Without them, we'd be stuck in the fossil fuel era.

How to overcome common challenges in machine learning deployments

🚨 To read the full findings from this research, visit The Machine Learning State of Play 2024 white paper. Are the challenges of deploying machine learning (ML) overshadowing its true potential in the modern workplace? Through our recent white paper , we spoke to 500+ developers who have experience working with ML systems to gain an understanding of the pain points faced by developers when using ML solutions.

Visionary Tech: Virtual Contact Lens Try-On Experiences

In the realm of eyewear and technology, the convergence of Virtual Reality (VR) and Augmented Reality (AR) has ushered in a new era of innovative experiences. One such groundbreaking concept is the virtual try-on of contact lenses, offering users a seamless and immersive way to explore and choose the perfect lenses. In this article, we will delve into the evolution of virtual contact lens try-on experiences, the technologies driving them, and the transformative impact on the eyewear industry.

Do We Still Need to "Observe"? The Future of AI & O11y

AI has had a massive impact on every part of our lives, but mainly on how we consume large data sets easily. The observability world is based on collecting enormous amounts of data and consuming it by observing dashboards built on monitoring tools. Most of the o11y tasks like writing complex queries, creating dashboards & defining alerts, have been done much in the same way for the last decade & AI models are well-positioned to disrupt this modus operandi.