Sadik Bakiu

In this repo it is show how to build and deploy a simple pipeline using Kubernetes, Kubeflow pipelines and seldon-core.

Orchestrate Spark Jobs from Kubeflow Pipelines and poll for the status.

FastAPI application to crawl sites and send telegram push notification deployed on Heroku

Dockerfile for Spark applications using docker layers

Fetch Bürgeramt appointments and broadcast them via websockets

Deploying an analytics platform on kubernetes cluster

Some tips and tricks for pytest tests

CLI that makes it easy to create, test and deploy Airflow DAGs to Astronomer

Docker orchestration, service discovery, Vagrant

Workshop material for PyCon DE 2022 by @Vinesse and @sleepypioneer

Beginners' Workshop 2022 - Please fork to use!

Reusable workflows for Github Actions

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Create local Spark Cluster for debugging

Pipedrive wrapper written in Python

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Cloud SQL proxy client and Go library

Bulletproof MySQL on Kubernetes using Percona Server

Manage a "truly" private AKS infrastructure with Terraform

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My configuration for Hammerspoon (http://www.hammerspoon.org)

AWS Workshop for Kubernetes

HydroServing + Kubeflow + Argo

This repository is dedicated for conducting workshop events

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Official home of the community managed version of Presto, the distributed SQL query engine for big data, under the auspices of the Presto Software Foundation.

M3D Engine is a framework for distributed ingestion of data to and execution of transformations within data lakes.

Metadata Driven Development (m3d) is a cloud and platform agnostic framework for the automated creation, management and governance of data lakes.

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