ci-for-machine-learning Blog Related Topics 
Cloudera
NOVEMBER 29, 2023
In the dynamic world of machine learning operations (MLOps), staying ahead of the curve is essential. That’s why we’re excited to announce the Cloudera Model Registry as generally available, a game-changer that’s set to transform the way you manage your machine learning models in production environments.
DevOps.com
MARCH 12, 2024
Artificial intelligence (AI) and machine learning (ML) can play a transformative role across the software development lifecycle, with a special focus on enhancing continuous testing (CT).
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The Citus Data
JANUARY 18, 2023
To make the dev/test process easier for you, you can use the Postgres CI. When you test your changes on CI and see it fail, how do you proceed to debug from there? When you test your changes on CI and see it fail, how do you proceed to debug from there? Tip #2: Enabling debug build options and using them on CI.
Prisma Clud
NOVEMBER 14, 2023
You tell me that the Azure CLI simply outputs environment variables to CI/CD logs without anyone (or at least without many people) knowing? And I can simply try to find these occurrences in the wild? Remember – “some cases”). That doesn’t sound hard. I decided to give it a shot. shouldn’t access your production database keys.
DevOps.com
JANUARY 4, 2021
The rate at which machine learning operations (MLOps) and DevOps best practices are converging is poised for rapid acceleration in 2021. The post AWS Looks to Meld MLOps and DevOps appeared first on DevOps.com.
Cloudera
NOVEMBER 19, 2021
We are excited by the endless possibilities of machine learning (ML). We recognise that experimentation is an important component of any enterprise machine learning practice. Continuous Operations for Production Machine Learning (COPML) helps companies think about the entire life cycle of an ML model.
Prisma Clud
SEPTEMBER 14, 2023
Learn how a novel attack vector in GitHub Actions allows attackers to distribute malware across repositories using a technique that exploits the actions dependency tree and puts countless open-source projects and internal repositories at risk. The second way actions can depend on other actions is through the action’s CI/CD pipeline.
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