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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