Deploy Java, PHP, Ruby, Node.js, Go, .NET, Python and Docker applications with no code changes using GIT, SVN, archives or integrated plugins like Maven, Ant, Eclipse, NetBeans, IntelliJ IDEA CloudJiffy will automatically scale your application containers vertically and horizontally, ensuring you only pay for the resources you consume. No capacity planning or resouce wastage. CloudJiffy uses granular 128MB cloudlets. CloudJiffy dashboard provides intuitive application topology wizard, deployment manager, access to log and config files, team collaboration functionality and integration with CI/CD tools

1. vs
High-Level Comparison of Private Clouds

2. Experience the automated Cloud
Cloud Services
Public 35 datacenters in 25 countries -
On-premise and any IaaS
Only AWS, vSphere, vCloud Air
and OpenStack
Within any clouds (AWS, Azure, IBM,
etc.)
Within AWS, vSphere, vCloud
Air and OpenStack
Private
Hybrid

3. Experience the automated Cloud
Supported Languages
Java, PHP, Ruby, Node.js, Python
.NET (Native) .NET (Diego implementation), Go

4. Server Templates
SQL Databases
MySQL, PostgreSQL, MariaDB,
Microsoft SQL, Percona
MySQL
NoSQL Databases
MongoDB, Cassandra, Redis, Neo4j,
OrientDB, CouchDB
Riak, Redis
Caching Servers Memcached GemFire
Dedicated Load Balancers HAProxy, Nginx, Apache, Varnish -
CI and Build Servers Jenkins, Maven CloudBees Jenkins Enterprise

5. Application Servers
Tomcat, TomEE, Jboss, Jetty,
Glassfish, Wildfly
Tomcat. Can be changed to any
custom by editing buildpack
Java Versions 6,7,8
JEE support Java EE6 and Java EE7 Yes (via WebLogic buildpack)
Java Support
Cloudjiffy supports automatic session replication for Tomcat, GlassFish and Jetty. Also it
automatically configures load balancing if HA for application servers is enabled.
Pivotal Cloud Foundry provides Java Buildpack with support of applications written in
Grails, Play, Spring or any other JVM-based language or framework

6. Experience the automated Cloud
Application Servers Nginx + FPM, Apache 2 + mod_php
PHP Versions 5.3, 5.4, 5.5, 5.6, 7.0 5.5 and 5.6
Supported Frameworks
Zend, Yii, Composer, Drush,
Phalcon, Symfony, Cake PHP
N/A
Zero Downtime
Deployment
Supported with one click from UI Supported from CLI
PHP Support

7. Experience the automated Cloud
Dev and Ops self-service
portals
Advanced Limited
SSH access SSH, SFTP SSH
CLI Client Yes
API
REST API, High level API that
provides ability to create complex
environments
REST API
Management

8. Experience the automated Cloud
Application Servers
Nginx + Passenger / Puma / Unicorn,
Apache + mod_ruby
WEBrick, Phusion Passenger,
Puma, Thin, or Unicorn
Ruby Versions
2.2.2, 2.0.0, 2.1.5, 1.9.3.
Switching versions in runtime via
RVM
2.2.2 (can be changed to any
version)
Dependency
Management
Bundler
Supported Frameworks Rails, Sinatra, Rake Rails, Sinatra, Rack
Ruby Support

9. Available in versions Public, Private, Hybrid Pivotal CF
Docker orchestrator
Cloudjiffy
Orchestrator
Diego
Docker containers redeploy (update) Yes
Persistent storage Yes
Self healing Yes
Live migration Yes No
Support of stateful, stateless and legacy applications Yes No
UI management of Docker deployment and config files Yes No
CLI management of Docker deployment Yes
Support of private registries Yes
Yes (requires extra
configuration)
Strong API to manage applications Yes
Support of rolling updates Yes
Docker Support

10. Dev Portals

11. Advantages of Cloudjiffy Portal
• Easy creation of complex environments
• Managing Docker containers
• Configuring auto horizontal scaling
• Migration across availability zones
• Enabling high-availability in one click
• One click installation of pre-packaged
clustered applications
• Cloning environment
• Swapping domain names
• Support of Public IPs
• Config files access

12. Experience the automated Cloud
Binary deployment
packages
war, ear, zip, tar, tar.gz
via buildpacks or CLI (requires code
changes)
Deployment via VCS GIT/SVN, build on commit GIT
Deployment via plugins
for IDEs
IntelliJ, Eclipse, NetBeans IntelliJ, Eclipse
Zero DownTime re-
deployment / rolling
updates
For all runtimes
Deployment Process

13. Experience the automated Cloud
Vertical scaling
(within single HW machine)
Manual and automatic within
predefined limits without
downtime
Only manual, causes
application’s restart
Horizontal scaling
(across different HW
machines)
Manual and automatic without
downtime. Automatic scaling is
based on load triggers: RAM,
CPU, IOPS, Traffic
Manual without downtime.
Automatic scaling is based on CPU
load trigger. Manual and auto
scaling conflicts with each other
Scaling

14. High Availability: Application Level
Shared Load Balancer
Distribution of load balancers on
different hardware nodes to
eliminate risks of single point of
failure
A single instance of HAProxy
Dedicated Load Balancer
Ability to create via UI dedicated
load balancers with replication and
tune them anyway you want
For production environments users
have to configure their own LBs
Application Servers
Scaling and distributing app servers
across hardware cluster along with
configuration of session replication
Scaling and distributing app servers
across Availability Zones and Health
checks of running app servers
Databases
One click setup for master-slave
database configuration
Highly available MySQL as a service
via Galera

15. Experience the automated Cloud
Hardware
Live migration. Integration with
software-defined storage for
automatic restore of apps state in
case of hardware failure. Distribution
of containers inside a cluster to
eliminate risk of hard node failure
Distribution of DEAs between
Availability Zones to eliminate risk
of hardware failure
Across Clouds
HA across different hosts as platform
can be deployed on bare metal and
any infrastructure of Virtual Cloud
(like Azure, SoftLayer, OVH, AWS)
HA across different hosts as
platform can be deployed on AWS,
OpenStack, vSphere and vCloud Air
High Availability: Hardware Level

16. Main Differences
Automatic vertical scaling without downtime Manual vertical scaling with application’s restart
Automatic horizontal scaling based on CPU, RAM, Traffic, IOPS, IO Automatic horizontal scaling based on CPU
Dynamic instance sizes: 128 MB RAM - 256 GB RAM Can be set any parameter of RAM usage (up to 10 GB by default)
Easy and extended platform management via UI for administrators Platform management is performed via CLI
Possible to choose between 4 dedicated LB servers, scale them
horizontally and vertically, provide LB between specified applications
For production environments, custom load balancer has to be
configured
No code changes required to deploy application It’s impossible to deploy application without changing code
System requirements for infrastructure: 16 GB RAM and 8 CPU cores System requirements for infrastructure: 37 GB RAM and 30 CPU cores
Possible to attach public IP to each server It’s impossible to attach public IP to each server
Improved Docker support and orchestration Basic Docker functionality
Possible to migrate without downtime inside cluster and even between
clouds like AWS, SoftLayer, Azure, etc.
Migration causes downtime
Easy and functional UI for applications management Main operations have to be performed via CLI

17. Thank You!
Contact us for more information
info@cloudjiffy.com