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The Role of DevSecOps in Ensuring Data Privacy and Security in Data Science Projects

ODSC - Open Data Science

This shift in thinking has led us to DevSecOps , a novel methodology that integrates security into the software development/ MLOps process. DevSecOps includes all the characteristics of DevOps, such as faster deployment, automated pipelines for build and deployment, extensive testing, etc.,

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MLOps Is an Extension of DevOps. Not a Fork — My Thoughts on THE MLOPS Paper as an MLOps Startup CEO

The MLOps Blog

Just so you know where I am coming from: I have a heavy software development background (15+ years in software). Lived through the DevOps revolution. Came to ML from software. Founded two successful software services companies. If you’d like a TLDR, here it is: MLOps is an extension of DevOps.

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Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 2

AWS Machine Learning Blog

The output of a SageMaker Ground Truth labeling job is a file in JSON-lines format containing the labels and additional metadata. With a passion for automation, Joerg has worked as a software developer, DevOps engineer, and Site Reliability Engineer in his pre-AWS life.

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Build an end-to-end MLOps pipeline using Amazon SageMaker Pipelines, GitHub, and GitHub Actions

AWS Machine Learning Blog

Data scientists, ML engineers, IT staff, and DevOps teams must work together to operationalize models from research to deployment and maintenance. It enables teams to collaborate on software development projects, track changes, and manage code repositories. Building a robust MLOps pipeline demands cross-functional collaboration.

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OpenTelemetry vs. Prometheus: You can’t fix what you can’t see

IBM Journey to AI blog

Monitoring and optimizing application performance is important for software developers and enterprises at large. OpenTelemetry and Prometheus enable the collection and transformation of metrics, which allows DevOps and IT teams to generate and act on performance insights. What is OpenTelemetry?

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Exploring Generative AI in conversational experiences: An Introduction with Amazon Lex, Langchain, and SageMaker Jumpstart

AWS Machine Learning Blog

A session stores metadata and application-specific data known as session attributes. Victor Rojo is a highly experienced technologist who is passionate about the latest in AI, ML, and software development. Solutions Architect at Amazon Web Services with specialization in DevOps and Observability. Mahesh Birardar is a Sr.

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How to Build an Experiment Tracking Tool [Learnings From Engineers Behind Neptune]

The MLOps Blog

Building a tool for managing experiments can help your data scientists; 1 Keep track of experiments across different projects, 2 Save experiment-related metadata, 3 Reproduce and compare results over time, 4 Share results with teammates, 5 Or push experiment outputs to downstream systems.