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CircleCI

What's next for CI/CD? Analyst predictions

In today’s episode, Rob is joined by CircleCI’s own Aisling Conroy. Aisling, a key player in CircleCI’s product marketing and competitive intelligence, provides a window into the thoughts of analysts in the ever-evolving CI/CD space. Their discussion explores how the power of diverse perspectives in problem-solving can yield many different types of product offerings.

Using Amazon SageMaker orb to orchestrate model deployment across environments

This tutorial guides you on how to use the Amazon SageMaker Orb to orchestrate model deployment to endpoints across different environments. It also shows how to use the CircleCI platform to monitor and manage promotions and rollbacks. It will use an example project repository to walk you through every step, from training a new model package version to deploying your model across multiple environments.

AI and the evolution of learning: Insights from Coding with Lewis

In this episode, Rob sits down with Lewis Menelaws from Coding with Lewis, a prominent social media influencer and content creator specializing in entertaining and empowering software developers. Together, they explore the evolving landscape of learning the craft, drawing comparisons between the present day and the learning experiences of 25 years ago.

Deploy a containerized .NET Core app to Azure Kubernetes Service (AKS)

Microsoft Azure provides an all-encompassing service that allows you to host Docker containers on the Azure Container Registry (ACR), deploy to a production-ready Kubernetes cluster via the Azure Kubernetes Service (AKS), and more. Using CircleCI, you can automatically deploy updates to your application, providing a safer and more efficient CI/CD process for managing your software. This article shows you how to automate deployments for a.Net application to Azure Kubernetes.

ML for software engineers ft. Gideon Mendels of Comet ML

In this episode, Rob explores the fascinating crossroads of machine learning and software engineering with Gideon Mendels, the co-founder and CEO of Comet ML. Gideon navigates the often ambiguous world of training ML models, focusing on building a common language between software engineers and data science teams. Gain valuable insights into fostering mutual understanding between these two disciplines and aligning the possibilities of ML with organizational needs in this thought-provoking episode.

Goodbye, GitOps: Getting to green in an AI-powered world

The cognitive bias known as the streetlight effect describes our desire as humans to look for clues where it’s easiest to search, regardless of whether that’s where the answers are. For decades in the software industry, we’ve focused on testing our applications under the reassuring streetlight of GitOps. It made sense in theory: wait for changes to the codebase made by engineers, then trigger a re-test of your code. If your tests pass, you’re good to go.