Join ClearScale and AWS to learn how the San Jose Water Company worked with ClearScale to leverage Docker and the latest AWS DevOps tools including Amazon ECS, Amazon EC2 Container Registry (ECR) and AWS CodePipeline, to deliver new app features faster, with lower overhead. Gaining a competitive edge in the modern business landscape often depends on delivering apps with small, quick changes that create faster time-to-market, with focused value for the end customer. Successful companies adopt a DevOps model that automates continuous app delivery and may use a software containerization platform, both to accelerate releases and reduce risk. ClearScale is an AWS DevOps Premier Consulting Partner that helps decrease your time to market, governance and compliance risks, and lower your operational costs. Join us to learn: • The advantages of DevOps on AWS, using the latest AWS tools and Docker • Best practices to design and deploy containers on AWS, based on experiences of the San Jose Water Company • Learn from ClearScale experts about proven automation techniques for DevOps on AWS Who should attend: CTOs, CIOs, CISOs, VPs of Engineering, VPs of Development, Business Development Directors, Senior Development Managers, Senior Architects, Business Development Managers

1. DevOps on the AWS Cloud

2. Presenters
 Sanjay Nighojkar – Sr. Solutions Architect at AWS
 Pavel Pragin – CTO at ClearScale
 Jimmy Chui – Solutions Architect at ClearScale
 Jeff Hobbs - Director of Web & Geographic Systems at San Jose Water
Company

3. Traditional development models are obsolete
 Business is increasingly software-driven
 End-users expect both continuous improvement and stability from
applications
 IT needs to be able to provision infrastructure as rapidly as developers
demand it
 An organization’s pace of innovation is largely constrained by their
ability to develop applications

4. Increase
 Business agility
 Application stability
 Ability to meet customer
demand
 Time spent on innovation
 Security
Decrease
 Length of development cycles
 Time to market
 Deployment failures and
rollbacks
 Time to recover upon failure
 Operational overhead
DevOps can help
DevOps practices enable companies to innovate at a higher velocity
for customers

5. Infrastructure
as Code
Microservices Logging and
Monitoring
Continuous Integration/
Continuous Delivery
DevOps on AWS
AWS provides on-demand infrastructure resources and tooling built to
enable common DevOps practices

6.  Provision the server, storage, and networking capacity you
need on demand
 Deploy independently, as a single service, or a group of
services
 Make configuration changes repeatable and standardized
 Build custom templates to provision resources in a controlled
and predictable way
 Use version control to keep track of all changes made to your
infrastructure and application stack
Infrastructure as code
Replace traditional infrastructure provisioning and management with
code-based techniques

7.  Build services around the business capabilities you require
 Scale up and down as required with virtually no notice
 Make configuration code changes repeatable and
standardized
 API-driven model enables management of infrastructure
with language typically used in application code
 Free developers from manually configuring operating
systems, system applications, and server software
Microservices
Build applications as a set of small services that communicates with other
services through APIs

8.  Maintain visibility and auditability of activity in your
application infrastructure
 Assess how application and infrastructure performance
impact end-user experience
 Gain insight into the root causes of problems or
unexpected changes
 Support services that must be available 24/7 as a result of
continuous integration/ continuous delivery
 Create alerts based on thresholds you define
Logging and monitoring
Capture, categorize, and analyze data and logs generated by applications
and infrastructure

9.  Model and visualize your own custom release workflow
 Automate deployments of new code
 Improve developer productivity and deliver updates faster
 Find and address bugs quicker with more frequent and
comprehensive testing
 Store anything from source code to binaries using existing
Git tools
Continuous integration and continuous delivery
Rapidly and reliably build, test, and deploy your applications, while
improving quality and reducing time to market.

10. Get started quickly
and pay as you go
Automate systems
operations
Scale without
infrastructure constraints
Improve visibility
and security
Leverage fully
managed services
Benefits of DevOps on AWS

11. Code Commit Code Commit Code Commit Code Commit
Code Commit Code Commit Code Commit
Code Commit Code Commit Code Commit
Code Commit Code Commit
Code Commit Code Commit Code Commit
DevOps on AWS
Continuous
Integration
Continuous
Delivery
Configuration
Management and
Provisioning
Continuous
Development
Code Commit Elastic Beanstalk
Code Pipeline
CodeDeploy
OpsWorks
CloudFormation
EC2 Container
Service

12. Software development lifecycle
MonitorDeployProvisionTestBuildCode
Elastic Beanstalk
CloudWatch
Cloud
Formation
CodeDeploy
Code
Commit
Code
Pipeline
ECS
OpsWorks

13. Tools continuum
Convenience
AWS Elastic Beanstalk
Web Apps Made Easy
Higher Level Services Do it Yourself
AWS OpsWorks
DevOps Automation
AWS CloudFormation
Template-Driven
Provisioning
Amazon EC2+
CloudWatch+
Auto Scaling+
Custom AMIs
Control

14. Proven cloud automation strategies
Continuous integration with
Docker on AWS

15. ClearScale
Founded in 2011, HQ in San Francisco,
offices in NY, LA & Seattle
AWS Premier Consulting Partner
2015-2016
Expert in Cloud Systems
Integration & Application Development
Utilize DevOps Approach
in all projects

16. ClearScale services
Architecture Design Integration & Migration DevOps & Automation
Big Data Application Development Managed Services

18. Docker integration and benefits
Application Portability Continuous Integration
& Delivery
Business Impact

19. Application portability
 Using Docker containers enables you to deploy ready-to-run,
software. Containerized applications do not require
installation; they are deployed and simply run within their
containers
 Docker containers can be run anywhere: laptops, desktops,
physical servers, and private/public clouds.
 Development and QA can easily share and deploy
microservices as needed

20. Continuous integration & delivery
 Say goodbye to software conflicts, driver compatibility issues,
and library conflicts.
 Increase the velocity of your continuous integration cycles.
Remove traditional systems configuration cycles from
releases. Docker containers ensure that applications run
identically across all environments in your CI/CD process.
 Operational efficiency. Developers can work on the container
applications and operations engineers can work in parallel on
infrastructure without worry of how application changes affect
their configurations.

21. Business Impact
 Deploying your products as Docker containers can help
you reach new customer segments.
 Satisfy partner requirements for on-premies or private
cloud deployment without overhead of professional
services.
 Streamline deployment and application updates to reduce
operational costs for customers.
 Reduce time and effort to run demo/POC’s within a
customer’s environment.
 Faster time to market for new products and features

22. Deploying and managing Docker containers on AWS
AWS CodeCommit Amazon EC2
Container Registry
AWS CodePipeline
Jenkins AWS Elastic Beanstalk Amazon EC2
Container Service

23. Building a CI/CD pipeline on AWS
 Integrate your code repository with a
CI/CD toolset
 Build and save Docker images to a
container registry
 Create Elastic Beanstalk configuration
 Deploy to a container service
 Launch automated tests
 Rinse and Repeat for each environment

24. San Jose Water Company

25. Founded in
1866
About
36,000unique visitors a month
Connect with us: http://sjwc.co/connect_with_us
Visit us online: http://www.sjwater.com
San Jose Water Company
An investor owned public water utility
that serves over
1M
people in the greater San Jose, CA
metropolitan area

26. Reached a point
where the workload
requirements
surpassed their IT
capabilities
Docker + AWS
managed services
and elastic workload
solutions were
proposed
Wanted our
development team
focused on delivering
new products and
features
Needed a scalable
environment that was
fully automated
The challenge

27. The goal
Faster delivery of new application features and functionality to the
customers with minimal IT overhead and maintenance cost.

28. Reduce Outages /
Increase Availability
Scalability and Elasticity
of Services
Recoverability –
Disaster Recovery
The requirements
Workload Automation Continuous Integration Reduce IT
Management Overhead

29. The ClearScale solution
Architecture Design Integration & Migration DevOps & Automation

30.  Staging and Production environments
deployed as separate Amazon Virtual
Private Cloud (Amazon VPC)
 Secondary Production environment
deployed to a separate Amazon Region
 All core environment components were
AWS services
Architecture design

31. DevOps & automation
AWS CloudFormation used
to deploy and manage base
infrastructure components
AWS Elastic Beanstalk
manages creation of Amazon
ECS clusters, deployment of
application services,
autoscaling, and ELB
configuration.
Jenkins orchestrates the
overall release process

32. Continuous Integration
 Powerful CI flows were created with
Jenkins, Amazon Simple Notification
Service (SNS), AWS Lambda, and AWS
Elastic Beanstalk
 Each stage of release had a custom flow
based on SJWC process requirements
 All CI flows built on a common
framework.

33. Implementation & migration
 Infrastructure-as-code
 Test in Staging
 Deploy to Production
 Build CI/CD workflows
 Data Syncronization
 Mock-cutover
 Seemless Migration

34.  CI/CD and workload automation has significantly improved the
quality and repeatability of deployments
 Reduced reliance on development resources
 Managed AWS services reduced IT overhead and
maintenance costs
 The elastic capabilities of auto scaling delivered efficiencies
and enabled infinite scaling on-demand
 New architecture eliminated single points of failure and
process bottlenecks
 Solution enabled high availability, highly secured services and
reduced latency
The benefits

35. Q & A