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Supporting Diverse ML Systems at Netflix

Netflix Tech

Since its inception , Metaflow has been designed to provide a human-friendly API for building data and ML (and today AI) applications and deploying them in our production infrastructure frictionlessly. While human-friendly APIs are delightful, it is really the integrations to our production systems that give Metaflow its superpowers.

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Getting Started On Embedded Finance

Perficient

For both the questioners and those afraid to question, we at Perficient thought we would provide some background on embedded finance. . Before we get into some of the more obscure and complex examples, let’s make sure we all agree on what the term embedded finance means. Getting Your Company Started With Embedded Finance .

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What to do When You Can’t Quickly Migrate to Camunda 8

Bernd Rucker

In this case, we strongly recommend starting with Camunda 8 right away, for example, using the Java greenfield stack : Java, Spring Boot, Spring Zeebe, and Camunda Platform 8? But there are some edge cases where you might not want to use Camunda 8 right away. release with quite some people already in production with it).

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Let’s Flink on EKS: Data Lake Primer

OpenCredo

This post is a getting-started guide intended to assist engineers in setting up an open model infrastructure for real-time processing. Data is established as the driving force behind many industries today, and having a modern data architecture is pivotal for organizations to be successful. to now include a Kubernetes Operator.

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Automate the deployment of FeathersJS apps to Heroku

CircleCI

This tutorial covers: Creating a FeathersJS API. The sample application we will be working with is an API to manage quiz questions. FeathersJS is a lightweight web framework for creating real-time applications and REST APIs using JavaScript or TypeScript. Getting started. Also, we only want to make a REST API.

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Improving E-Commerce Performance with Asynchronous Messaging

Modus Create

Imagine that you are writing an e-commerce application and you have a customer with a full shopping cart who is ready to check out and give you their money. Things get much worse when you have 1,000 or 10,000 customers all trying to buy at the same time! If they can’t complete the transaction fast, you may lose the sale.

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A Single Pane of Glass: How It Transforms IT Asset Monitoring

Ivanti

For each application or asset in that stack or network, there may be a standalone monitoring tool. This creates knock-on problems: Excessive monitoring tools can lead to alert fatigue and lack of context; some teams must prioritize over 1,000 alerts per day, so many get ignored. 8% percent were juggling between 21 and 30 tools.