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Comparing Uptime Monitoring, Heartbeat Monitoring, and Synthetic Monitoring

In the quest for a high-velocity development environment, one fundamental question looms large: "How can you ensure an exceptional end-user experience when an array of engineers continually push and deploy code?" The unequivocal answer to this pivotal inquiry lies in the establishment of robust, straightforward, and well-defined monitoring practices.


Managing Client Expectations Through Communication & Visibility

Managing client expectations is an essential part of delivering positive experiences. If you are leading a service-based business and do not know how to manage client expectations, you are setting yourself up for failure. From the outset, you should attempt to manage client expectations through communication and visibility. This article will explore practical ways in which you can keep all parties aligned. ‍ ‍

Beyond QA: How Workday Testing Tools Boost Overall Business Performance

In the fast-paced realm of modern business, where the cloud reigns supreme, Workday has emerged as a powerhouse for seamlessly managing human capital and financial operations. But in this digital orchestra, how can businesses ensure that their Workday applications hit all the right notes consistently? The answer lies in the unsung heroes of the tech world - Workday Testing Tools.

How To Choose The Right Internet Provider For Your Business

It is crucial to choose the correct internet provider for your organization in this day and age where all corporate operations are digitally mediated. Whether you're a burgeoning startup or an established corporation, a seamless and robust internet connection is the backbone of your daily operations. However, with a plethora of options available, finding the perfect fit for your business can be a daunting task. Fear not, as we delve into the intricacies of this crucial decision-making process, offering insights and considerations to ensure you make an informed choice for your unique needs.

Testing a PyTorch machine learning model with pytest and CircleCI

PyTorch is an open-source machine learning (ML) framework that accelerates the path from research prototyping to production deployment. You can work with PyTorch using regular Python without delving into the underlying native C++ code. It contains a full toolkit for building production-worthy ML applications, including layers for deep neural networks, activation functions and optimizers. It also has associated libraries for computer vision and natural language processing.