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Based on our record, Google Cloud Build seems to be more popular. It has been mentiond 15 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Dagger seems to attempt to reinvent Tekton which is based on https://cloud.google.com/build which is a good way to do cicd, so credit to the Dagger guys for knowing what DevOps (at least if they are real DevOps) folks know. - Source: Hacker News / 6 months ago
Would like to have the integration with GCP, especially with Cloud Build (https://cloud.google.com/build)! - Source: Hacker News / over 1 year ago
a backend, computing and serving tiled heat maps. This is a Go application build via Google Cloud Build and executed via Google Cloud Run. It connects to MongoDB Atlas, hosted in same GCP region, to retrieve the features to be displayed. - Source: dev.to / over 1 year ago
To build Docker container images for your serverless apps, you need to enable Cloud Build. - Source: dev.to / over 1 year ago
Super simple to integrate CI/CD with GitHub using Cloud Build (which also has a generous free tier). Source: over 1 year ago
neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.
Data Fabric - Data Fabric is an architecture and set of data services that provide consistent capabilities across a choice of endpoints spanning on-premises and multiple cloud environments.
Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.
AWS CodePipeline - Continuous delivery service for fast and reliable application updates