Phoesion Glow simplifies the creation, deployment and managing of dotnet microservices, making it easy for developers of all skill levels to build and maintain complex applications.
All components have been built from the ground-up to be part of a complete uniform solution and include out-of-the-box Mediators/Gateway, Service-bus, service hosts, Kubernetes operators and more. Designed for teams and cooperation in mind, makes developing and managing your microservices a simple and secure task.
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Based on our record, Minio seems to be a lot more popular than Phoesion Glow. While we know about 156 links to Minio, we've tracked only 6 mentions of Phoesion Glow. 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.
Kaleidoscope, is a new AMQP-like message broker, written entirely in .NET 8.0. It is engineered to deliver high performance as it was designed to be the backbone of Phoesion Glow, a cloud backend service development and cluster management solution. In peer-to-peer (P2P) mode, the Kaleidoscope broker acts as the routing authority, sending peer/routing updates to the clients, while the clients form a P2P mesh and... - Source: dev.to / 2 days ago
Phoesion Glow is a cloud-native framework designed for dotnet (micro-)services with features like service-bus, load-balancing, scaling, logging/tracing, monitoring and cluster management, service-to-service discovery/communication and more. It also includes a lot of GUI/CLI developer tools (eg. aspire-like dashboards) and build-in Distributed application services like persistent key-value storage (caching),... - Source: dev.to / 9 days ago
Hi, I am the creator of Phoesion Glow, a framework designed specifically for creating webapi microservices using c#. Source: about 1 year ago
Check this out Phoesion Glow, its a framework for developing cloud microservices using c#. Source: about 1 year ago
It's based on the Phoesion Glow framework that is designed for building dotnet microservices, but the efcore concept is the same. Source: about 1 year ago
The meta-data and model artifacts from experiment tracking can contain large amounts of data, such as the training model files, data files, metrics and logs, visualizations, configuration files, checkpoints, etc. In cases where the experiment tool doesn't support data storage, an alternative option is to track the training and validation data versions per experiment. They use remote data storage systems such as S3... - Source: dev.to / 10 days ago
> When it gets too out of hand, people will paper it over with a new, simpler abstraction layer, and the process starts again, only with a layer of garbage spaghetti underneath. I'm pretty happy that there are S3 compatible stores that you can host yourself, that aren't insanely complex. MinIO: https://min.io/ SeaweedFS: https://github.com/seaweedfs/seaweedfs Of course, many will prefer hosted/managed solutions... - Source: Hacker News / 23 days ago
Here are the basic steps to getting a minio tenant deployed inot kubernetes. There are some pre-requisites tasks to be deployed (and will not be covered in this article) including. - Source: dev.to / 2 months ago
I'd throw minio [1] in the list there as well for homelab k8s object storage. [1] https://min.io/. - Source: Hacker News / 5 months ago
Can you just append the data to a blob using something like the s3 blob api? AWS, Azure and Minio https://min.io/ all support it. That way you don't have to reinvent the wheel. Source: 9 months ago
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