Based on our record, Google Cloud Build should be more popular than Algorithmia. 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 / 7 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
To push a model into production, there are additional concerns which the tools in the versioning, deployment and release space aim to solve. This includes obtaining adequate infrastructure to run the model reliably and facilitating easy model release or rollback. Solutions in the MLOps space includes Kubeflow, Pachyderm and Algorithmia. - Source: dev.to / over 2 years ago
And for enterprises that want to do the same with ML you can use algorithmia.com. Source: over 2 years ago
Algorithmia advertises themselves as an MLops platform for data scientists, and they provide an easy way to host models on a scalable REST API. Source: over 2 years ago
Seems similar to https://algorithmia.com. Source: over 2 years ago
Algorithmia.com — Host algorithms for free. Includes free monthly allowance for running algorithms. Now with CLI support. - Source: dev.to / almost 3 years ago
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.
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
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.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
MCenter - Machine Learning Operationalization