CloudJiffy is a platform-as-a-service that simplifies the deployment and management of web applications across various programming environments without requiring code changes, making it accessible for developers without operations experience. In contrast, AWS OpsWorks is targeted at IT administrators and offers tools for configuration management but lacks some of the automated functionalities present in CloudJiffy, especially for Java applications. The document compares the features, scaling capabilities, and support for various programming languages between these two cloud solutions.

1. vs
High-Level Comparison of Public Clouds

2. Experience the automated Cloud
Supported Platforms
Java, PHP, Ruby, Node.js, Python, Docker and .NET
Python -

3. Experience the automated Cloud
Cloudjiffy is an easy-to-use Platform-as-a-Service for deploying, scaling, managing web
applications’ lifecycle and services developed with Java, .NET, PHP, Node.js, Python, Ruby, .NET,
and Docker. Customers create in a few clicks via GUI environment with any desired application
servers / databases topology. Cloudjiffy doesn’t require any code changes to be deployed in the
cloud and is cloud agnostic - you won’t be chained to a platform forever. If application runs on
your local machine, it will run in the cloud.
Platform takes care of failover, high availability and autoscaling your applications without
necessity to request operations’ help - it handles all actions starting from auto configuring servers
during environment creation and finishing complex automated DevOps processes available in
several clicks. Cloudjiffy is the fully automated platform that simplifies DevOps workflow and
speeds up applications’ delivery to end-users.
It is targeted on developers that don’t have Ops experience and want manage they apps like if
they had DevOps expertise.
Cloudjiffy Use Cases

4. Experience the automated Cloud
AWS OpsWorks is a flexible configuration management solution with automation tools that
enable you to model and control your applications and their supporting infrastructure. AWS
OpsWorks makes it easy to manage the complete application lifecycle, including resource
provisioning, configuration management, application deployment, software updates, monitoring,
and access control. AWS OpsWorks is designed for IT administrators and ops-minded developers
who want an easy way to manage applications using CHEF recipes.
AWS OpsWorks is targeted at DevOps users who want better management and automation tools
to help them customize and control their environments.
OpsWorks Use Cases

5. Experience the automated Cloud
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.
Amazon OpsWorks doesn’t support Java Enterprise.
Application Servers
Tomcat, TomEE, Jboss, Jetty,
Glassfish, Wildfly
Tomcat
Java Versions 6,7,8 7
JEE support Java EE6 and Java EE7 -

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

7. Experience the automated Cloud
Ruby Support
Application Servers
Nginx + Passenger
/Puma/Unicorn, Apache +
mod_ruby
Apache + Passenger,
Nginx + Unicorn
Ruby Versions
1.9.3, 2.0.0, 2.1.5, 2.2.2
Switching versions in runtime via
RVM
1.8.7, 1.9.3, 2.0, 2.1, 2.2
Dependency
Management
Bundler
Supported Frameworks Rails and Sinatra Rails, Sinatra and AWS Flow

8. Experience the automated Cloud
Cloudjiffy DevOps Portal
Self service portal for
developers is intuitive and
very functional. A new user
in just a 1 minute will create
new environment without
any problems.

9. Experience the automated Cloud
OpsWorks Dashboard
It requires much more time
to get acquainted with
OpsWorks Dashboard for
creating and managing
environments.

10. Advantages of Cloudjiffy Portal
• Easy and extremely functional
• Auto verticalhorizontal scaling
configuration in 1 click
• Any topology creation
• Online migration
• Zero downtime deployment
• Installation of extensions
• Enabling high-availability in one click
• Possibility to pack your application
topology into .json and perform its
installation and post-configuration in
1 click
• Fast prototyping without necessity
to affect DevOps team

11. Experience the automated Cloud
Management
Self-service portal for
easy provisioning
extended extended, hard to deal with it
SSH access SSH, SFTP SSH
CLI Client Yes
API
REST API, High level API that
provides ability to create
complex environments
API for managing environments

12. Experience the automated Cloud
Deployment Process
Binary deployment
packages
war, zip, ear, tar, tar.gz war, tar, zip
Deployment via VCS GIT/SVN, build on commit GIT
Deployment via CLI Yes
Deployment via plugins
for IDEs
IntelliJ IDEA, Eclipse, NetBeans,
Visual studio
Eclipse
Zero Downtime re-
deployment / rolling
updates
for all runtimes

13. Experience the automated Cloud
Vertical scaling
(within single HW
machine)
Automatic within predefined
limits
Vertical scaling is possible only
by choosing another type of
instance. This scaling is
performed with downtime
Horizontal scaling
(across different HW
machines)
Manual and automatic.
Automatic scaling is based on
load triggers: RAM, CPU, IOPS,
Traffic
Automatic
Scaling

14. Load Balancer
Sticky HTTP load balancing with Round Robin.
Round Robin TCP load balancing
AWS Elastic Load Balancer is paid solution. By
default LB routes each request independently
to the server instance with the smallest load.
It's not a problem to configure sticky sessions.
Application
Servers
Scaling and distributing app servers across
hardware cluster along with configuration of
session replication. Load Balancer can
distribute traffic across Regions and Availability
Zones
In AWS's Elastic Load Balancer, it is trivial to
load balance across Availability Zones. Just
make sure to launch each instance in a
different AZ
Databases
One click setup for master-slave database
configuration
Amazon RDS (Relational Database Service)
provides HA and failover support for DB
instances using Multi-AZ deployments. Multi-
AZ deployments for Oracle, PostgreSQL,
MySQL, and MariaDB DB instances use Amazon
technology, while SQL Server DB instances use
SQL Server Mirroring
High Availability: Application Level

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 nodes
inside a cluster
Amazon’s disaster recovery
solutions and EBS as persistent
storage
Across Clouds
HA across different hosts as platform can be
deployed on bare metal and any infrastructure of
Virtual Hosting Provider (like Azure, SoftLayer,
OVH, AWS)
Provides HA across different
Availability zones and Regions. HA
is possible only within AWS
High Availability: Hardware Level

16. Granularity
Dynamic configurations
128MB RAM - 256 GB RAM
1 vCPU - 64 vCPU
Starting at $0.001/hour
for the block of
128 MB RAM + 200 Mhz CPU
App-centric pricing
1 GB RAM = $0.03/hour
1GB memory per app instance -
$86.40/month
Storage
1GB - ∞
$0.0854/month
First 1 TB - $0.03/month
Support Free Limited (basic) support service is free
Free tiers
From 2 weeks to 1 year free trial,
credit card is not required
5 GB of Amazon S3 standard storage, 20,000
Get Requests, 2,000 Put Requests, and 15GB
of data transfer out each month for one year
Pricing

17. Automatic vertical scaling without downtime
Vertical scaling is possible only by choosing another type of
instance
Dynamic instance sizes: 128 MB RAM - 256 GB RAM
Big amount of instances' types. However, changing the
instance type leads to a downtime
Free 2 weeks trial 12 months of trial
Dynamic pricing - pay only for what you use Charging full amount of money for each instance
Scaling automation is performed by Cloudjiffy and can be
configured by customer from UI in 2 clicks. Possible to pack
and automate deployment and post-configuration of any
topology via high level API.
Scaling automation is performed by Amazon CloudWatch.
Applications’ automation is performed via customly written
Chef cookbooks
Suitable for both non-experienced in DevOps scenarios
developers and for administrators with a huge experience in
DevOps
Suitable mostly for DevOps ninjas
Possible to choose between 4 LB servers, scale them
horizontally and vertically, provide LB between specified
applications
AWS Elastic Load Balancer is not free of charge but also
failover solution. ANother option is using HAproxy layer for
balancing
Main Differences

18. Experience the automated Cloud
Public, Private, Hybrid and Multi Cloud deployments Public, Private and Hybrid Clouds are supported
Improved Docker support and orchestration Basic Docker support
Possible to migrate without downtime inside cluster and
even between clouds like AWS, SoftLayer, Azure, etc.
Migration between AWS data centers will cause downtime
Cloudjiffy can be deployed on bare metal and on any
infrastructure of Virtual Cloud Hosting (like Azure, SoftLayer,
OVH, AWS, etc) and HA can be configured across different
hosts
AWS provides HA across different Availability zones, Regions
and even HA across cloud and other hosting providers can
be configured
Easy and functional UI for applications management
UI functionalities are limited. Main operations have to be
configured via Chef cookbooks and CLI
MySQL, MariaDB, PostgreSQL, Mongo DB with master-slave
replication
Support of scalable, highly available and Multi-AZ deployed
databases: MySQL, MariaDB, PostgreSQL, Oracle
Main Differences

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