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Explaining Writing Dockerfile with Examples

Analytics Vidhya

Introduction on Dockerfile This article contains about Dockerfile that we are commonly using in DevOps Engineering. DevOps is nothing but it is a set of practices that ensures systems development life cycle and provides continuous delivery with high software quality, that combines software […].

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How is MLOps Different from DevOps?

Analytics Vidhya

Introduction DevOps practices include continuous integration and deployment, which are CI/CD. MLOps talks about CI/CD and ongoing training, which is why DevOps practices aren’t enough to produce machine learning applications. In this article, I explained the important features of MLOps and the key […].

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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments. Feature Engineering.

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Streamline custom environment provisioning for Amazon SageMaker Studio: An automated CI/CD pipeline approach

AWS Machine Learning Blog

In this post, we explain how to automate this process. About the Authors Muni Annachi , a Senior DevOps Consultant at AWS, boasts over a decade of expertise in architecting and implementing software systems and cloud platforms. Lastly, you update the SageMaker domain configuration to specify the custom image Amazon Resource Name (ARN).

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Optimizing AI implementation costs with Automat-it

AWS Machine Learning Blog

Automat-it specializes in helping startups and scaleups grow through hands-on cloud DevOps, MLOps and FinOps services. In this post, we explain how Automat-it helped this customer achieve a more than twelvefold cost savings while keeping AI model performance within the required performance thresholds.

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Basil Faruqui, BMC: Why DataOps needs orchestration to make it work

AI News

The operationalisation of data projects has been a key factor in helping organisations turn a data deluge into a workable digital transformation strategy, and DataOps carries on from where DevOps started. Operationalisation needs good orchestration to make it work, as Basil Faruqui, director of solutions marketing at BMC , explains. “If

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What is managed DNS, anyway?

IBM Journey to AI blog

Perhaps the easiest way to explain it is by looking at the opposite scenario: what if you don’t have a managed DNS service in place? Infrastructure as code : Today’s networks are driven by DevOps, edge computingand serverless architectures, which require an API-first approach to infrastructure.

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