Create and Deploy a ML model using Google Cloud Run, Github Actions and Terraform

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub helps you find the best software and product alternatives
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  • fastapi-MlOps

    Exposes an API to predict delays in flights deployed in Google Cloud Run using Terraform as IaC

  • Clone this repo

  • terraform

    Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.

  • Terraform is a popular open-source tool for running infrastructure as code. It uses HCL which is a declarative language to declare infrastructure. The basic flow is:

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • google.cloud

    GCP Ansible Collection https://galaxy.ansible.com/google/cloud

  • Cloud Run is a serverless platform from Google Cloud to deploy and run containers. Cloud Run can be used to serve Restful web APIs, WebSocket applications, or microservices connected by gRPC.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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