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Website | github.com |
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Website | cloud.google.com |
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 / 4 months ago
Would like to have the integration with GCP, especially with Cloud Build (https://cloud.google.com/build)! - Source: Hacker News / about 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
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
SaltStack - SaltStack event-driven automation delivers security, cloud and configuration management for a software-defined world and enterprise complexity and scale.
AWS CodePipeline - Continuous delivery service for fast and reliable application updates
Google Kubernetes Engine - Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.
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.
Apache Mesos - Apache Mesos abstracts resources away from machines, enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.