This post demonstrates a *basic* example of how to build a deep learning model with Keras, serve it as REST API with Flask, and deploy it using Docker and Kubernetes. This is NOT a robust, production example. This is a quick guide for anyone out there who has heard about Kubernetes but hasn’t tried it out yet. To that end, I use Google Cloud for every step of this process.

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we’ll talk about why incorporating AI into your UEM strategy may be inevitable.

2018 saw modern enterprises adopting different approaches and tools to predict and eliminate IT outages using data collection and analytics — from modeling and performance data to log, event and application data. The advancements in machine learning and AI will help DevOps and IT Ops push boundaries in 2019, enabling them to collect streaming data in real time and get insights to optimize and improve IT performance. Here are some of the trends we are observing for 2019.

This year, at Sumo Logic’s third annual user conference, Illuminate 2018, we presented Sumo Logic Notebooks as a way to do data science within the Sumo Logic platform. Sumo Logic Notebooks integrate Sumo Logic data, data science notebooks and common machine learning frameworks.