Digital Transformation with Docker, Cloud, and DevOps: How JCPenney Handles Black Friday and 100K Deployments Per Year

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At JCPenney, Black Friday is one of our most critical shopping periods, both in stores and increasingly online. Hundreds of millions of dollars are on the line for us in a narrow shopping window so scaling to handle the traffic and being able to deploy promotions and fix issues without disruption to the website and our business are critical. Our prior way of delivering applications was built on a waterfall model, locked in to a set of ISV vendor dependencies, with rigid silos. It was too slow and expensive to deploy changes and keep pace with our business. We needed an application delivery platform that can handle the scale of Black Friday, and allow us to adapt our systems as our business continues to evolve. In our DockerCon session, we will tell you how we are transforming JCPenney’s omnichannel business with Docker and open solutions like Jenkins, Spring cloud, Netflix OSS and Ansible. We went live in our first iteration in just two months, and then on-boarded over 30 services in the first 6 months. We learned quite a bit along the way and you'll hear why we made an important decision to switch from Docker Community Edition to Docker Enterprise Edition. Our new cloud-native, Dockerized systems handle over 100,000 deployments per year and can scale to handle events like Black Friday with zero issues.

v
How JCPenney Handles Black Friday and 100K Deployments Per Year
Digital Transformation with Docker, Cloud, and
DevOps:

Srikanth Bulusu
Engineering Leader, JCPenney
Digital Transformation with Docker, Cloud, and DevOps
Sanjoy Mukherjee
Distinguished Engineer, JCPenney

• Introduction
• Fell in love
• Heartbreak!
• Fight
• Hero to save the day!
Our Movie

• Started with one store in 1902
• 100+ Years
• 860+ Stores
• 1929 – Listed in NYSE
• 1994 - Started Digital Journey
Our Adventure
Begins...

• Omnichannel customer experience
• Monolithic architecture
• Work in silos
• Water fall model
• Speed
• Cost
• Vendor dependencies
Challenges

Create a platform to boost productivity and improve
time to market

• Agile & Lean
• Microservices
• Portable services
• Build once and run anywhere
• Adoption of cloud
• Invest in Automation
• Adopt open-source technologies
• NoSQL
Key Decisions

• Go live in two months
• Migrated one Browse and
one Transactional service
Journey

• Open the flood gate
• On-boarded 30+ services in six
months
All Is Right With
The World...

Issues with
Docker v1.11
Increased
deployment time
Parallel deployment
issues
Connectivity loss Scalability issues

• Slow down on boarding
• Multiple docker clusters
• Vertically scaled Key-Value store
• Accelerate the upgrade plan
Mitigation

Migration to Docker Enterprise Edition
v17.03
Go-live < 3 months
Self-healing, stable IPSec support
Open issues resolved Faster deployment, scaling

Current State
• 120+ Microservices
• 100K+ Deployments
• Multi-Billion $ business
• Zero issue 2017 peak
• Onboarding store services

Deployment Specification
Jenkinsfile Deployment

Improved time-to-market
Reduced cost
On-demand releases
Dynamic scaling
Highlights
JCPenney.com migrated to
open-source, containers &
cloud in less than 2 years
1
120+
Containerized services
100,000+
deployments
4
2
Zero
issues during
peak holiday period
5
3

Four
Talent
Acquisition
Jobs.jcp.com
Reduce Risk Reduce
Friction
Empower
Teams
• Break down
walls
• Self-Service
• Training
• Controlled on-
boarding
• Multi-cluster
design
Takeaways
• Cloud Agnostic
• Frictionless
upgrades
Plan for
Failures
• Failure isolation
• Developers
• Business
partners
• DevOps
• Open source
• Mobile
• Analytics...

We Are Hiring
http://jobs.jcp.com
sbulusu@jcp.com
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Ara Pulido, Datadog - Container technologies, although not new, have increased their popularity in the past few years, with container orchestrators allowing companies around the world to adopt these technologies to help them ship and scale microservices with precision and velocity. Kubernetes is currently the most popular container orchestration platform, and while many organizations are migrating their workloads to it, Kubernetes is still relatively immature. New corner cases, errors, and quirks are regularly discovered as users push the boundaries of size and scale. When Datadog adopted Kubernetes we discovered some of these boundaries the hard way, and we continuously challenge and modify our infrastructure decisions in order to fit our use case. Join me in this talk for our story on what we learned while we scaled our Kubernetes clusters, the contributions to Kubernetes we made along the way, and how you can apply those learnings when growing your Kubernetes clusters from a handful to hundreds or thousands of nodes.

Labels, Labels, Labels

Docker, Inc.

Andy Clemenko, StackRox - One underutilized, and amazing, thing about the docker image scheme is labels. Labels are a built in way to document all aspects about the image itself. Think about all the information that the tags inside your clothing carry. If you care to look you can find out everything about the garment. All that information can be very valuable. Now think about how we can leverage labels to carry similar information. We can even use the labels to contain Docker Compose or even Kubernetes Yaml. We can even include labels into the CI/CD process making things more secure and smoother. Come find out some fun techniques on how to leverage labels to do some fun and amazing things.

Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment Model

Docker, Inc.

Patrick Deloulay, Micro Focus - Micro Focus started their digital transformation 3 years ago, moving the entire portfolio into hundreds of container images. Leveraging Docker Hub as our primary registry service, we will cover how we ended up building a simple but secure push/pull model to publish and deliver our premium assets to our customers and partners to both meet the high agility of our DevOps teams while greatly simplifying the deployment of our applications.

Build & Deploy Multi-Container Applications to AWS

Docker, Inc.

Lukonde Mwila, Entelect As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud. In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics: - Docker Compose - Containerizing an Nginx Server - Containerizing an React App - Containerizing an Node.JS App - Containerizing anMongoDB App - Runing Multi-Container App Locally - Creating a CI/CD Pipeline - Adding a build stage to test containers and push images to Docker Hub - Deploying Multi-Container App to AWS Elastic Beanstalk Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking. After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk.

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Docker, Inc.

Elton Stoneman, Docker Captain + Container Consultant and Trainer How do you provide a SaaS offering when your product is a 10-year old Fortran app, currently built to run on Windows 10? With Docker and Kubernetes of course - and you can do it in a week (... to prototype level at least). In this session I'll walk through the processes and practicalities of taking an older Windows app, making it run in containers with Kubernetes, and then building a simple API wrapper to host the whole stack as a cloud-based SaaS product. There's a lot of technology here from a real world case study, and I'll focus on: - running Windows apps in Docker containers - building a .NET Core API which can run in Linux or Windows containers - running the stack in Kubernetes with Docker Desktop locally and AKS in the cloud - configuring AKS workloads in Azure to burst out to Azure Container Instances And there's a core theme to this session: Docker and Kubernetes are complex technologies, but they're the key to modern development. If you invest time learning them, they make projects like this simple, portable, fast and fun.

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1. v How JCPenney Handles Black Friday and 100K Deployments Per Year Digital Transformation with Docker, Cloud, and DevOps:

2. Srikanth Bulusu Engineering Leader, JCPenney Digital Transformation with Docker, Cloud, and DevOps Sanjoy Mukherjee Distinguished Engineer, JCPenney

3. • Introduction • Fell in love • Heartbreak! • Fight • Hero to save the day! Our Movie

4. • Started with one store in 1902 • 100+ Years • 860+ Stores • 1929 – Listed in NYSE • 1994 - Started Digital Journey Our Adventure Begins...

5. • Omnichannel customer experience • Monolithic architecture • Work in silos • Water fall model • Speed • Cost • Vendor dependencies Challenges

6. Create a platform to boost productivity and improve time to market

7. • Agile & Lean • Microservices • Portable services • Build once and run anywhere • Adoption of cloud • Invest in Automation • Adopt open-source technologies • NoSQL Key Decisions

8. Tech Stack - 2016 Docker v1.11

9. • Go live in two months • Migrated one Browse and one Transactional service Journey

10. • Open the flood gate • On-boarded 30+ services in six months All Is Right With The World...

11. ...Until It Isn’t

12. Issues with Docker v1.11 Increased deployment time Parallel deployment issues Connectivity loss Scalability issues

13. How We Saved The Day

14. • Slow down on boarding • Multiple docker clusters • Vertically scaled Key-Value store • Accelerate the upgrade plan Mitigation

15. Migration to Docker Enterprise Edition v17.03 Go-live < 3 months Self-healing, stable IPSec support Open issues resolved Faster deployment, scaling

16. Current State • 120+ Microservices • 100K+ Deployments • Multi-Billion $ business • Zero issue 2017 peak • Onboarding store services

17. Deployment Process

18. Deployment Specification Jenkinsfile Deployment

19. Demo

20. Improved time-to-market Reduced cost On-demand releases Dynamic scaling Highlights JCPenney.com migrated to open-source, containers & cloud in less than 2 years 1 120+ Containerized services 100,000+ deployments 4 2 Zero issues during peak holiday period 5 3

21. Four Talent Acquisition Jobs.jcp.com Reduce Risk Reduce Friction Empower Teams • Break down walls • Self-Service • Training • Controlled onboarding • Multi-cluster design Takeaways • Cloud Agnostic • Frictionless upgrades Plan for Failures • Failure isolation • Developers • Business partners • DevOps • Open source • Mobile • Analytics...

22. We Are Hiring http://jobs.jcp.com sbulusu@jcp.com Questions?

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