The document discusses Oracle's container native platform for running Kubernetes on Oracle Cloud Infrastructure (OCI). It provides a fully managed Kubernetes service called OCI Container Engine for Kubernetes (OKE) along with an integrated container registry (OCIR). The document demonstrates creating a Kubernetes cluster on OKE and deploying a containerized application using a continuous integration/delivery pipeline to build, test and deploy containers. It highlights the capabilities for continuous integration, container image management and serverless functions that Oracle provides along with the infrastructure capabilities of OCI such as high performance compute and storage resources.

1. Overpowered Kubernetes:
CI/CD for k8s on Enterprise IaaS
MÁLAGA, SPAIN / 23RD - 25TH MAY 2018
Bringing developers and DevOps together around Big Data

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Overpowered Kubernetes
Juan Carlos Ruiz Rico
Oracle Cloud Platform Consultant
@_JCRico
May, 2018
CI/CD for K8s on Enterprise IaaS

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OpenJDK, Jakarta EE
Active Community Participation
Innovate in Open Source
Kubernetes
railcarsmith crashcart
Open Sourcing Docker & K8s Utilities
K8S
installer
Serverless Framework
Javascript Technology
Not-Only SQL Databases

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Agenda
Containers: How Did We Arrive Here?
Overpowering Kubernetes: Oracle’s Container Native Platform
Demo
Q & A
1
2
3
4

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History and Multi-Dimensional Evolution of Computing
Copyright © 2017 Oracle and/or its affiliates. All rights reserved

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What are Containers?
An Open Technology to Build, Ship, and Run Distributed Applications
9
VMs
Containers

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Why Containers?
10

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Contributors on
GitHub, 65K+ Commits
Enterprises using
Kubernetes to manage
and orchestrate
containers
11
Using Kubernetes in
production
Kubernetes – Explosive Growth
71%
SOURCES: COREOS BLOG, Github.com, cncf.io
84%2000+

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Every technology has
own terminology
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Kubernetes Basics
13
https://kubernetes.io/docs/concepts/overview/what-is-kubernetes/
Master
Controllers
Scheduler
API
Server
etcd
Node
Docker
Kubelet
Node
Docker
Kubelet
Node
Docker
Kubelet

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Kubernetes Basics
14
Node
Pod0 – IP:10.1.1.1
Container
Container
Volume
Node
Pod1 – IP:10.1.1.2
Pod2 – IP:10.1.1.3
Container
Container
Container
Volume
Service
IP: 129.144.50.2
selector: app : foo
type: LoadBalancer
Label:
app : foo
Label:
app : foo

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Container Native Cloud Platform

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Kubernetes Challenges

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Fn Project
OCI Container Engine for Kubernetes (OKE)
Oracle Cloud Infrastructure Registry (OCIR)
Container Native Application Development Capabilities
Build, Deploy, Operate Container Based Applications
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Continuous Integration and Delivery Pipeline
Docker Compliant Container Image Registry
Fully Managed Standard Kubernetes Service
Open Source Serverless Functions Framework
Oracle Container Pipelines
Oracle Developer Cloud

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User ManagedOracle Managed
OKE and OCIR
Management Aspects
OCI Container Engine
for Kubernetes
OCI Registry
Cluster Management
OKE Dashboard
in OCI Console
Oracle Cloud Infrastructure
Encryption for Data in
Transit (SSL) and at Rest
VM based Clusters and Nodes
Bare Metal Clusters and Nodes
Customer’s OCI
Account/Tenancy
HA - 3 Masters/etcd
across 3 ADs
Confidential – Oracle Restricted 18

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Managed K8s is great, but where is the
overpowered piece?
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CI/CD Workflows Based on Wercker
+
Infrastructure Beast
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Wercker is a container-native
automation platform to build, dev
and deploy multi-service applications

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box: node:6.10
build:
steps:
- script:
name: A step that executes `npm install` command
code: npm install
push-to-repository:
steps:
# Push to public docker repo Container Registry (CR)
- internal/docker-push:
tag: $WERCKER_GIT_BRANCH-$WERCKER_GIT_COMMIT
cmd: node /pipeline/source/app.js
username: $DOCKER_USERNAME
password: $DOCKER_PASSWORD
repository: $DOCKER_REPO
registry: https://iad.ocir.io/v2
deploy-to-oke:
box:
id: alpine
cmd: /bin/sh
steps:
- bash-template
- kubectl:
name: create namespace
server: $KUBERNETES_MASTER
token: $KUBERNETES_TOKEN
command: apply -f $WERCKER_ROOT/kubernetes-namespace.yml
…
wercker.yml
pipelines
stepsworkflow

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Integrated Container Build Automation
Container Pipelines provides automated container builds to registries and production-grade clusters
Git
Build Push to Registry
PushTest
Deploy to
Orchestration Scheduler
Deploy
Registry
Container Pipeline
Service
Container Registry
Service
Container Engine
Service
Push

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Intel® Xeon® processor
26 Core, 52 Threads
oCPU
Cor e
2t hr eads
Cor e
2t hr eads
Cor e
2t hr eads
Intel® Xeon® processor
26 Core, 52 Threads
oCPU = 2 Threads
Consistent performance over time
Compute Resources

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Networking
Availability
Domain 1
Availability
Domain 2
Availability
Domain 3
Region 1
Availability
Domain 1
Availability
Domain 2
Availability
Domain 3
Availability
Domain 1
Availability
Domain 2
Availability
Domain 3
Region 3
Region 2
Low Latency, High Bandwidth
Network Between ADs and Regions
Regions = Metropolitan Area
Availability Domain = Data Centre

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High IO Storage Technology
Metric Characteristic
Volume Size 50 GB to 16 TB, in 1 GB increments
IOPS 60 IOPS/GB , up to 25,000 IOPS
Throughput 480 KBPS/GB, up to 320 MBPS
Latency Sub-millisecond latencies.
Per-instance
Limits
32 attachments per instance, up to 512 TB.
Up to 400K or more IOPS, near line rate
throughout.
https://docs.us-phoenix-1.oraclecloud.com/Content/Block/Concepts/blockvolumeperformance.htm
https://docs.us-phoenix-1.oraclecloud.com/Content/Compute/Concepts/computeperformance.htm
Shape
Minimum
Supported IOPS
VM.DenseIO1.4 200k
VM.DenseIO1.8 250k
VM.DenseIO1.16 400k
BM.DenseIO1.36 2.5MM
VM.DenseIO2.8 250k
VM.DenseIO2.16 400k
VM.DenseIO2.24 800k
BM.DenseIO2.52 3.0MM

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Why these two points matter?

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Demo
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Creating a Cluster
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Creating your Workflow Pipeline
And deploying to Kubernetes
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Wrap Up

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Questions?

82. THANKS