Shad Amez

Software Engineer @Hotels.com

Gigahex

Sandbox for Big data developers

Complex installation 

Constant updates  

Deployment  Hell

Challenges

Current Sandbox Alternatives

Gigahex

Virtual Box

Vmware

Docker images

Slow Startup. [ 1 - 2 mins ]

Fast Startup. [ 5 - 25 secs ]

Current Sandbox Alternatives

Gigahex

Virtual Box

Vmware

Docker images

Slow Startup. [ 1 - 2 mins ]

Bundled Docker image ~ 20GB

Fast Startup. [ 5 - 25 secs ]

Alpine images ~ 2GB

Current Sandbox Alternatives

Gigahex

Virtual Box

Vmware

Docker images

Slow Startup. [ 1 - 2 mins ]

Bundled Docker image ~ 20GB

Fast Startup. [ 5 - 25 secs ]

Alpine images ~ 2GB

Low CPU / System overhead with better application peformance

High CPU / System overhead

Current Sandbox Alternatives

Gigahex

Virtual Box

Vmware

Docker images

Slow Startup. [ 1 - 2 mins ]

Bundled Docker image ~ 20GB

Fast Startup. [ 5 - 25 secs ]

Alpine images ~ 2GB

Low CPU / System overhead with better application peformance

High CPU / System overhead

Manual deployment

Automated deployment with launcher

Service as containers

Common network

Shared volume

Spark

Hadoop

Hive

Shared Volume

Local Sandbox Environment

Quick Preview

Manage environments

Manage deployments

Summary

Launching late Q2, 2019

Gigahex

Documentation

Q&A

Gigahex - Sandbox for Big data developers ( Preview )

By Shad Amez

Gigahex - Sandbox for Big data developers ( Preview )

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