At Scout, we pride ourselves in building a tool that is focused on the developers’ ability to quickly identify performance issues within their applications so they can fix them and resume building the fun stuff. DreamFactory is a robust role-based access tool to help you with API creation and management needs.

Since our inception, open source contributions have been integral to our business and success. This October, as we participated in the great Hacktoberfest event, organized by Digital Ocean and hosted by GitHub and this month as we host our own hackathon event, we reflect upon and appreciate our community.

We recently launched Elastic Security, combining the threat hunting and analytics tools from Elastic SIEM with the prevention and response features of Elastic Endpoint Security. This combined solution focuses on detecting and flexibly responding to security threats, with machine learning providing core capabilities for real-time protections, detections, and interactive hunting. But why are machine learning tools so important in information security? How is machine learning being applied?

We’re continuing our expansion into Native and Mobile by adding NDK support to our Android libraries so you’ll be able to trace bugs all the way into native libraries. At the same time we’ve brought the Android SDK into our unified API framework.

Have you ever wanted to get important alerts from Azure Monitor notified on your smartphone and have all the important details of the problem at your fingertips? Have you ever missed the option to easily change the status of alerts from Azure Monitor in the Azure smartphone app? Ever missed a push notification because there was no persistent and advanced alerting? Then this article is for you.

By next year the number of connected devices will exceed 20 billion. The vast majority of these devices run on Arm architecture, increasingly at the infrastructure edge. With this growth in mind, the need for an agile, Arm-based development methodology has become increasingly urgent. Arm Neoverse provides the required IP for building the next gen of edge to cloud infrastructure to support the data explosion we are seeing, primarily caused by IoT.

We as a company, and I as a human have been enormous beneficiaries of open source. I remember as a kid, my brothers setup a Renegade BBS so other people could call our computer. A few years later I built my first server running on NetBSD. And of course, we all used the internet. Open source has powered so much of my life. I still remember my first accepted open-source contribution, it was an incredibly minor fix for an HTML5 Quake game, but wow was I proud.

Augmented analytics is trending. You’ve read about it, you’ve heard about it, you may even be in the process of acquiring systems running it. But what exactly is it, and how can you recognize it? As the guys building augmented analytics, we’re here to dispel some of the hype. On the highest level, augmented analytics is the machine learning processes geared at making data more accessible and actionable for both data scientists and business users.

The digital era has brought vast cultural transformations – the sharing economy, microtransactions, lightning-fast communication and much more. Much of this has also resulted in considerable innovation in revenue-related areas. Companies from various industries today manage a large number of revenue streams from different revenue models.