Jenkins World 2019 - Integrating jenkins x with your business

For more information visit: https://salaboy.com/2019/08/12/building-cloud-native-platforms-with-jenkins-x/

Integrating Jenkins X
with your Business
Mauricio Salatino @salaboy

Mauricio Salatino
@learnk8s / @salaboy
Kubernetes-addict & Open Source Enthusiast
Jenkins X contributor
Spring Cloud & JHipster Contributor
Activiti Cloud Creator
Ex-Red Hat / JBoss , Ex-Alfresco

© 2019 All Rights Reserved. 3
Agenda
• salaboy.com: Building Cloud-Native platforms with Jenkins X
• Why is Jenkins X relevant to your company?
• The Journey Building Cloud Native Applications
• Building your own “products/platform” on top of K8s
https://bit.ly/2GZBZ8y

© 2019 All Rights Reserved. 5
Jenkins X
• Built in the Open, following Open Source practices, now part of the
http://cd.foundation
• Built and based on Kubernetes Best practices, integrates natively with
Kubernetes and follow Cloud Native practices
• Continuous Delivery, Continuous stream of new versions
• Multi Cloud / Multi Environment support 
https://bit.ly/2GZBZ8y

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From Source to Service
https://bit.ly/2GZBZ8y

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From Source to Service with Jenkins X
https://bit.ly/2GZBZ8y

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From Source to Service - Detailed
https://bit.ly/2GZBZ8y

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Developer Perspective
• Everything happens remotely
• Every change generate a release
• We are releasing more artifacts than before
• JAR, Docker Images, Helm Charts
• GitOps
• Cost effective pipelines (Serverless) 
https://bit.ly/2GZBZ8y

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From Source to Service
https://bit.ly/2GZBZ8y

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Monolith Symptoms
• Single Git Repo
• Single Pipeline
• Single Release Stream
• Not modular
• Custom Code tends to stay
• Complexity grow
• Reusing becomes harder
• Scalability (all or nothing)
https://bit.ly/2GZBZ8y

© 2019 All Rights Reserved. 13
Cloud Native - Single Conference
• Git Repo per Service
• Multiple Release Stream
• Multiple Pipelines
• Modular
• Extensions as Functions
• Reusing becomes easier
• Infrastructure provided by Cloud
• We need service aggregation
• Overall complexity grows
https://bit.ly/2GZBZ8y

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Conference’s Pipelines
https://bit.ly/2GZBZ8y

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Libraries and Services
https://bit.ly/2GZBZ8y

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Gates
https://bit.ly/2GZBZ8y

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Conference Helm Chart
https://bit.ly/2GZBZ8y

Building your Own
Product/Service
On top of Kubernetes

© 2019 All Rights Reserved. 19
Cloud Native Platform Approach
• Manage and Operate multiple
Conferences
• Kubernetes Native Integration,
Conferences as first class citizen
• Custom Resource Definition
• Conferences Operator
• Conferences specific custom
• Security Policies
• Traffic Control
• Scalability patterns
• Integrations with third parties
https://bit.ly/2GZBZ8y

© 2019 All Rights Reserved. 20
Our Conference Resource (CRD)
https://bit.ly/2GZBZ8y

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Simplified New Conference Flow
https://bit.ly/2GZBZ8y

© 2019 All Rights Reserved. 22
@LearnK8s
LearnK8s Academy:
http://academy.learnk8s.io
https://bit.ly/2GZBZ8y

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The exploration of service mesh for any organization comes with some serious questions. What data plane should I use? How does this tie in with my existing API infrastructure? What kind of overhead do sidecar proxies demand? As I've seen in my work with various organizations over the years "if you have a successful microservices deployment, then you have a service mesh whether it’s explicitly optimized as one or not." In this talk, we seek to understand the role of the data plane and how to pick the right component for the problem context. We start off by establishing the spectrum of data-plane components from shared gateways to in-code libraries with service proxies being along that spectrum. We clearly identify which scenarios would benefit from which part of the data-plane spectrum and show how modern service meshes including Istio, Linkerd, and Consul enable these optimizations.

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Service mesh has hit the cloud native computing community like a storm, and we’re starting to see gradual adoption across the enterprise. There are a handful of open source service mesh implementations to choose from, including Istio, Consul Connect, and Linkerd. Christian Posta details why and when you may want to use a service mesh versus when you may want to just stick with a library, Netflix OSS, or application approach. He digs into three popular open source service mesh implementations and explores their goals, strengths, and weaknesses. You’ll come away with a good foundation from which to explore service mesh technology and ask the right questions to get to the right answer for them.

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