Part 4: Microservices - Deploy on GKE + Istio

This the last blog post from a series of 5, where I dived into the process of creating and deploying a microservice project, named League App. It is a toy project but my intention was to showcase the technologies I used along the path from creation to deployment. In the previous blog post I deployed the League App locally, which is fine for fast development. But you’ll get into a point where you want to make the App available for the rest of the world.
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Part 3: Microservices - Deploy on Minikube

In my previous blog posts I described the architecture I used to create the League App microservice and the communication between the services. Meantime, I have extended the League App by adding new services, which play specific roles. PlayerOps service perform CRUD operation over the player database, I have implemeneted just Create and Delete player functions but this can be extended easily to Read and Update . Transfer service is used to move a player from one team to another, affecting receiving/outgoing team’s capital.
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Part 2 - cont: Microservices - Create the App with Go-kit

This is the continuation of the previous blog post, where I explained the microservices architecture using GO Kit framework. I strongly recommend you to read the previous post as it gives you the insights into what I’ll cover this post. I talked already about the two layers of the onion architecture: Service and Endpoints. In this post I’ll cover the Transport layer and put everything together in the main function.
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Part 2: Microservices - Create the App with Go-kit

This is the second blog post of the series, where I dive into the process details and the framework I used to create the toy project. It is made up of several distinct microservices. There are a number of microservice frameworks in the wild but the most notable ones for GO are Go Micro, Go-Kit, Gizmo. Go-Kit is the one which has prompted my interest, I’m explaining below why. Asa starting point I’m creating a small application, formed by two microservices.
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Part 1: Microservices - Ingesting data

I’m starting a series of 5 blog posts where I document the path I followed to create a small project which is made up of several components (microservices) deployed over a managed kubernetes infrastructure. In this first blog post I create a simple serverless data ingest pipeline, the next 2 blog posts are in depth description of the microservices architecture and the last 2 blog posts are about deploying the application in a Kubernetes environment and the mechanism to manage and monitor the services.
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