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Topio + JFrog | Scaling Continuous Software Delivery for Edge & IoT Applications

Enterprises came to expect that software that underpins their business can change at the speed of the market. Cloud-native technologies and modern DevOps tools enable enterprises to continuously deploy software updates across data centers and public clouds. But things often get slowed down when trying to update applications across mixed environments and large fleets of edges and IoT devices.

JFrog and Upswift: Bringing IoT Software Updates to DevOps Upswift Acquistion

JFrog has acquired Upswift to bring the world of connected devices into the DevOps pipeline! Managing fleets of devices and edge applications remotely - including over-the-air (OTA) updates, security, monitoring, controlling and more - has quickly become unwieldy for most companies, with growth of connected devices expected to reach 24 billion in 2026. But, most of today’s DevOps solutions are not optimized or built to deliver software updates to distributed edge and IoT environments.

Driving Data Innovation With MLTK v5.3

Many of you may have seen our State of Data Innovation report that we released recently; what better way to bring data and innovation closer together than through Machine Learning (ML)? In fact, according to this report, Artificial Intelligence (AI)/ML was the second most important tool for fueling innovation. So, naturally we have paired this report with a new release of the Machine Learning Toolkit (MLTK)!

Feature Engineering For Machine Learning: The Ultimate Guide

Almost all industries use artificial intelligence (AI) and machine learning (ML) today. As part of the so-called disruptive technologies, they've upended current technologies and have affected people in the way they work, do business, and spend their leisure time. And, with the pace these techs are advancing, they'll continue to be at the forefront of technological progress in the next few years.
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Application Logging in 2021

Have you ever written a Hello, World! application? In most of these tutorials the first step is to log words to the console. It's an easy way to understand what is going on with your application and readily available in every programming language. The console output is incredibly powerful, and it has become easier than ever to capture that output as logs. As your application grows and evolves you need to implement a structured application log approach.

Elastic Enterprise Search: Next-gen search experiences backed by ML

At ElasticON Global 2021, we shared a future view of Elastic Enterprise Search and how we’re continuing to build next-generation, machine learning-powered search experiences backed by the speed, scale, and relevance of Elasticsearch. We also highlighted the many ways we plan to keep building even more flexibility into our solutions.