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Why Allegro AI? With Catherine K.C. Leung, MizMaa Ventures

In this video Catherine K.C. Leung, the Co-Founder & General Partner at MizMaa Ventures discuss the global AI market and Allegro AI. Allegro AI announced that it has closed a fundraising round, led by MizMaa Ventures, with participation from Robert Bosch Venture Capital GmbH (RBVC), Samsung Catalyst Fund and Dynamic Loop Capital.

Allegro Trains trains-agent installation tutorial

Installation and configuration tutorial for Trains-Agent, Allegro AI's zero configuration fire-and-forget execution agent for the Allegro Trains solution. Allegro-Agent enables ML-Ops / DevOps orchestration, queue management, remote execution, automation and more - for the Allegro Trains solution. Allegro Trains is an open source machine and deep learning (ML / DL) experiment manager, versioning and ML-Ops full system solution for data science and data engineering teams and projects.

Updates from Bugfender Q1, 2020

Welcome to the spring Bugfender newsletter. Despite COVID-19 and thanks to being a remote company, we continue working on Bugfender to bring you new updates and features you can take advantage of. Bugfender is now hosted in twin datacenters. With a combination of High Availability and Master-Replica setups, we’re now able to process logs faster than ever and bring the service back up much faster in the unlikely event of datacenter-wide outages.

Apache Kafka Example: How Rollbar Removed Technical Debt - Part 2

April 7th, 2020 • By Jon de Andrés Frías In the first part of our series of blog posts on how we remove technical debt using Apache Kafka at Rollbar, we covered some important topics such as: In the second part of the series, we’ll give an overview of how our Kafka consumer works, how we monitor it, and which deployment and release process we followed so we could replace an old system without any downtime.

What are the characteristics of a Mobile DevOps environment?

Shipping the right app with the right functionalities to the right customer, at the right time is how you boost your ranking in the app store. Some of the key steps in this process are: continuously releasing high-quality software, listening to feedback, and providing new features to users — before they even know that they want them. To achieve all of this, app developers need two main things: automation tools and a growth mindset.