Tag : GCP (2)
With the serverless approach, the problem about the server that the software developer confronts with has disappeared. Now we write our code and call the provider to run it. We are not dealing with server configurations, scalings etc. And pay as you go. This is a great opportunity.
AWS's Lambda, GCP's Cloud Function, Azure's Azure Function etc., these services provide us this service. But this time, different kind of problem appears. These services do not support all languages. Even if it supports the language we want, it may not support the version we want. For example, AWS Lambda does not support the upper versions of .NET Core 2.1 yet. This is a problem. Nobody can restrict us :)
The Cloud Run service that Google built on Knative completely solves this problem. We give Cloud Run a docker image and Cloud Run runs our serverless service from this image. So whether we develop in PHP or .NET Core, it doesn't matter. There is no limit as long as we can make dockerize. This is awesome.Read more
The subject of this article series is about how to publish API, which we developed with ASP:NET Core, in Kubernetes. We will use GCP(Google Cloud Platform) as a cloud provider.
In this part, i will show the scenario and give preliminary information about what will be the result. Also i will mention briefly some concepts in Kubernetes.
We will develop an API containing single endpoint.
We will dockerize that API. For this, we will create a dockerfile.
We will send the image we have created with the dockerfile to GCR(Google Cloud Container Registry).
We will start three containers from this image.
We will create "Load Balancer" service, which will distribute the requests coming to the application to the containers.
I want to mention five concepts in Kubernetes.Read more
- ASP.NET Core
- Actor Model
- Continous Integration
- E2E Tests
- Event Sourcing
- Event Store
- Integration Tests
- Microsoft Orleans
- Smart Contract
- Unit Tests