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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Introduction to MLFlow

Sep 5, 2023 By Canonical In Canonical
MLFlow is an open source platform used for managing machine learning workflows. It is a crucial component of the open source MLOps ecosystem, having passed 10 million monthly downloads at the end of 2022. It has four main components that ensure experiment tracking, model registry, model deployment and code packaging. Join our webinar to learn more about MLFlow During this webinar, Andreea Munteanu will discuss MLFlow and Charmed MLFlow, Canonical’s distribution of the open source platform.
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Intro to Git Integration for Jira: See development activity across all of your issues

Sep 5, 2023 By GitKraken In GitKraken
Git Integration for Jira is the easiest way to improve development visibility in Jira and keep your teams in sync. View Git commits, branches, tags, and pull request within issues or across projects, epics, sprints, and more. It's the only Jira app that lets you view development activity across multiple issues at a time - saving you time, helping you spot trends, and identify work that's at risk. Integrate with any Git repository, self hosted or in the cloud, including GitHub, GitLab, Azure DevOps, and more.
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cloudzero

What Is AWS EMR? Here's Everything You Need To Know

Sep 5, 2023 By CloudZero In CloudZero
According to Statista, the mass volume of data created, stored, copied, and consumed in 2020 was over 64 zettabytes (ZB), or about 64 trillion gigabytes (GB). This is expected to rise to 181 ZB by the year 2025. A large portion of this data is likely to be significant to your business. It can provide you with new insights that help you improve your product, communicate with consumers, and perform risk analysis. However, you’ll need the right tools to extract, sort, process, and analyze it.
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cloudzero

31+ Must-Have ETL Tools In 2023

Sep 5, 2023 By CloudZero In CloudZero
The most successful brands are data-driven. Whether it's Google, Amazon, or TikTok, they all use data to inform their next moves. But here's the thing. It's easy to collect a lot of data. Making sense of all that data is often the most challenging part. You can do that in three ways. Scripting is one option. Here, your developers code custom data integration tools in Python and Java alongside technologies like Hadoop and Spark.
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qovery

Overcoming Shared Environment Bottlenecks

Sep 5, 2023 By Morgan Perry In Qovery
Shared development environments have long been the norm at a time when agility and collaboration reign supreme. But this once-effective approach now reveals its limitations, giving rise to productivity and collaboration bottlenecks, often leading to conflicts and resource contention that stall projects and hinder development teams. In this article, we will explore the key challenges posed by collaboration bottlenecks and introduce the ephemeral environments solution that redefines how teams operate.
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smikar

Using Azure Policy to Enforce Storage Account Compliance

Sep 5, 2023 By Mark In SmiKar Software

Ever had a migraine thinking about how to ensure compliance for your Azure Storage Accounts? You’re not alone. Companies worldwide struggle to maintain consistency, especially when it comes to cloud storage. That’s where Azure Policy comes into play. This article is a comprehensive guide that will walk you through everything you need to know about using Azure Policy to enforce compliance on your Azure Storage Accounts.

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canonical

Empowering government innovation: a secure path to open source excellence

Sep 5, 2023 By Canonical In Canonical
The Australian Federal Government is not alone in dealing with challenges like natural disasters, global pandemics and economic uncertainty. Like many governments, they are looking for new and innovative ways to tackle these challenges. FST Government 2023 is an exciting conference that brings over 200 government leaders together to explore how the latest advances in digital technology can help support better policy outcomes and citizen service delivery.
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