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Continuous integration for.NET applications

CircleCI

NET is a popular open source, cross-platform development framework for building fast and scalable full-stack applications for the web, desktop, mobile, and the cloud. This flexibility makes.NET a leading platform for developing enterprise web applications and makes.NET development one of the most in-demand skills on the market.

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Hire a Kubernetes DevOps: Azure & AWS

Mobilunity

Thanks to Kubernetes, companies can simplify many of the manual processes associated with scaling and packaging applications in containers. Nowadays, Kubernetes is widely used by DevOps, and more companies are in search of a certified Kubernetes application developer. SELinux, and others.). Benefits of Opting for Kubernetes DevOps.

Azure 83
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How We Shipped PostgreSQL 14 on Azure Within One Day of its Release

The Citus Data

Today, we are excited to announce PostgreSQL 14’s General Availability (GA) on Azure’s Hyperscale (Citus) option. In upcoming months, we will roll out Postgres 14 across more Azure regions and also release it with our new Flexible Server option in Azure Database for PostgreSQL. Favorite new features in PostgreSQL 14.

Azure 130
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Red Hat Ansible Accelerator

Perficient

Red Hat Ansible enables you to automate many IT tasks including cloud provisioning, configuration management, application deployment, and intra-service orchestration. Our Ansible Accelerator provides an overview of what Ansible can do to help modernize and streamline your DevOps and IT operations. Contact Us

DevOps 52
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Demystifying MLOps: From Notebook to ML Application

Xebia

In this blog post, we’ll try to demystify MLOps and take you through the process of going from a notebook to your very own industry-grade ML application. Several common open source tools such as MLflow are discussed, but the same principles apply to other tooling you can find in the market.

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Cloud Computing Trends and Innovations

Apiumhub

Rather than relying solely on centralized data centers, edge computing distributes computational processes closer to the source of data generation. This paradigm shift significantly reduces latency, making real-time processing feasible for applications such as the Internet of Things (IoT), autonomous vehicles, and augmented reality.

Trends 52
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Radar trends to watch: August 2020

O'Reilly Media - Ideas

It’s impressively good, and may unlock many new applications that require accurate parsing and generation of human language. Using AI to generate pseudocode from human source code may be a better route to AI-assisted programming than AI-generated source code. Google has introduced a toolkit for creating model cards. Programming.

Trends 103