Discover IamVigneshC/Kubernetes Open Source project

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IamVigneshC

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Kubernetes is an open-source container-orchestration system for automating computer application deployment, scaling, and management. Kubernetes Helps to Build, Deliver, and Scale Containerized Apps.

GCP-DevOpsPipelineContinuousIntegration-Deployment

Build a continuous integration pipeline using Cloud Source Repositories, Cloud Build, build triggers, and Container Registry. Deploy applications to the Google Cloud services App Engine, Kubernetes Engine, and Cloud Run.

HTML

3TierAWSMicroServiceECSFargate

Launch a frontend and multpile backend services on AWS Elastic Container Service. AWS Fargate used for serverless compute engine for containers.

Python

GCP-ETL-Processing-on-Google-Cloud-Using-Dataflow-and-BigQuery

Python

GCP-Migrating-Teradata-to-BigQuery

Create a Teradata source system running on a Compute Engine instance Prepare the Teradata source system for the schema and data transfer Configure the schema and data transfer service Migrate the schema and data from Teradata to BigQuery Translate Teradata SQL queries into compliant BigQuery Standard SQL

GCP-DataTransformationPipeline-with-Cloud-Dataprep

Explore the Cloud Dataprep UI to build a data transformation pipeline that runs at a scheduled interval and outputs results into BigQuery

GCP-AutoMLVision-ClassifyImagesofClouds

AutoML Vision provides an interface for all the steps in training an image classification model and generating predictions on it.

ProfessionalCloudArchitect-CaseStudy-OnlineGaming

Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers. Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools. Their current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.

GCP-Create-Deploy-Cloud-Data-Fusion-Pipeline

Configure Cloud Data Fusion Create a Cloud Data Fusion data transformation pipeline Connect Cloud Data Fusion to a couple of data sources Apply basic transformations Join the two data sources using Cloud Data Fusion Split data to perform an A/B experiment Write data to a sink

GCP-BigQueryML-ClassificationModel

Create a Machine Learning model in BigQuery to predict whether or not a new user is likely to purchase in the future.

TSQL

Tableau-Visualizations

Data visualization through Tableau 2020 - Analyze and Visualize Data

App-Containerization-Docker

Dockerfile

GCP-BI-Dashboard-Using-Google-Data-Studio-and-BigQuery

Build a BI dashboard with Data Studio as the front end, powered by BigQuery on the back end.

ProductManagement

Building-an-IoT-Analytics-Pipeline-on-Google-Cloud

Connect and manage MQTT-based devices using Cloud IoT Core (using simulated devices) Ingest a stream of information from Cloud IoT Core using Cloud Pub/Sub. Process the IoT data using Cloud Dataflow. Analyze the IoT data using BigQuery.

Python

ProfessionalCloudArchitect-CaseStudy-Shopalot

Shopalot is a global shopping site that wants to build a scalable e-commerce to server global customers. Shoppers can search products, add them to a shopping cart, and buy them through various payment processing services.

IamVigneshC

Docker

Simple Java, Nodejs and Python programs built and run using docker container

Java

Machine-Learning-Data-Science

Jupyter Notebook

IamVigneshC.github.io

AmazonWebServices

Amazon Web Services is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. Build, Deploy, and Manage Websites, Apps or Processes On AWS' Secure, Reliable Network.

Python

GCP-Automating-DevOps-Workflows-with-GitLab-and-Terraform

We will be using a sample application that we have called Vote-App which is representative of a N-Tier microservice architecture, containerized application that will be deployed to a Kubernetes cluster provided by GKE.

GCP-Architecting-with-Google-Kubernetes-Engine

Deploy and manage containerized applications on Google Kubernetes Engine (GKE) and the other tools on Google Cloud. deploy solution elements—including infrastructure components like pods, containers, deployments, and services—along with networks and application services. deploy practical solutions, including security and access management, resource management, and resource monitoring.

Shell

PowerBI-Reporting

Power BI is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

GCP-Streaming-IoT-Kafka-to-PubSub

Launch a Kafka instance and use it to communicate with Pub/Sub. Configure a Kafka connector to integrate with Pub/Sub Setup topics and subscriptions for message communication Perform basic testing of both Kafka and Pub/Sub services Connect IoT Core to Pub/Sub

Python

GCP-BigQueryML-ForecastingModel

Use BigQuery to find public datasets. Query and explore the public taxi cab dataset. Create a training and evaluation dataset to be used for batch prediction. Create a forecasting (linear regression) model in BigQuery ML. Evaluate the performance of your machine learning model.

Confluent-Developing-a-Streaming-Microservices-Application

A small microservices ecosystem, showcasing an order management workflow, such as one might find in retail and online shopping. It is built using Kafka Streams, whereby business events that describe the order management workflow propagate through this ecosystem.

Java

IamVigneshC/Kubernetes

IamVigneshC

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