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How Artificial Intelligence is Shaping the Industry of VPN

Artificial intelligence refers to the machine's ability to learn and think. Given that it sort of mimics how humans think and reason, AI's application is virtually endless. AI reduces human error, do a task that is risky for humans to do, help humans solve complex, and so much more. With the emergence of artificial intelligence, concerns about data privacy have been brought into the light. Artificial intelligence relies on our personal information to learn.

KUDO for Kubeflow: The Enterprise Machine Learning Platform

Machine learning is the power cable for your business. Without it, your data center is a museum of hard drives. While machine learning can supercharge data-driven businesses, it requires both expertise and a complex suite of technologies to make it work. D2iQ’s KUDO for Kubeflow, which is in technical preview, is the enterprise platform designed to take you from prototype to production in no time.

Personal Information Security and OnPage's Commitment to User Privacy

When making purchasing decisions, organizations must consider a vendor’s product pricing, promised benefits and level of customer service. Thorough vendor evaluation tends to result in successful investments, allowing organizations to reap the benefits of their newly acquired products without buyer’s remorse. Unfortunately, some buyers dismiss the importance of personal information security and how the vendor promises to protect user data.

Creating a host through the Icinga 2 API

Learning about the Icinga API can be an eye opening moment for some, and lead to a path of automation and configuration management. But where to start? Well, you can always check out the Icinga API documentation for that. But today, I have an idea for you – I’ll show you how to create a host through the Icinga 2 API.

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Achieving a 12% performance lift migrating Raygun's API to .NET Core 3.1

Here at Raygun, improving performance is baked into our culture. We don't just think about our application performance, but more broadly, we look at our own infrastructure and ask if there's anything we can do to make it more performant for our business and for our customers. Two years ago, we switched our API from Node.js to .NET Core and achieved a 2000% increase in throughput. To continue that story, we recently upgraded .NET Core 2.1 to 3.1 and saw a 12% increase in performance. We enjoy presenting our performance findings, so in this post, we'd like to give some context into why we upgraded and the conditions that helped us achieve the 12% performance lift.

Streamline Your Teams' API Design and Strategy with User-Centered Documentation

Every day, application programming interfaces (APIs) are created to speed up the development of modern software applications—from globally-scaled public services to internal endpoints for your proprietary applications. For engineering leaders with teams that write and maintain APIs, however, it can be difficult to know how to prioritize API features, encourage adoption, and respond to feedback from developers. And as we at VMware Pivotal Labs well know, rapid iteration leads to product success.