Kubernetes: Container Orchestration and Micro-Services logo
|
|
|
- Dominick Ross
- 5 years ago
- Views:
Transcription
1 Kubernetes: Container Orchestration and Micro-Services logo University of Washington 590s Alexander Mohr Technical Lead / Manager on Google Container Engine and Kubernetes mohr@google.com
2 Contents 1. Systems Projects at Google Seattle and Kirkland (2-3 mins) 2. Brief Docker Container Primer (5-10 mins) 3. Kubernetes: Container Orchestration (many mins)
3 Prelude: Systems Projects at Google Seattle and Kirkland Seattle: Kirkland: Chrome Cloud (incl. Flywheel) Cloud Machine Learning (Matt Welch) (Mona Attariyan) Flume / Dataflow / Apache Beam Spanner (Craig Chambers) (?) Compute Engine VM Hypervisor Compute Engine s Control Plane (Mike Dahlin) (Mike Dahlin) Kubernetes + Container Engine Compute Engine s Persistent Disk (Alex Mohr) (?) App Engine Flex Thialfi notifications (Tomas Isdal) (Atul Adya) Cloud Storage (?) These are some of the (public) projects explicitly focused $FOO on systems. Other areas require systems knowledge too! (Michael Piatek)
4 Contents 1. Prelude: Systems Projects at Google Seattle and Kirkland 2. Brief Docker Container Primer a. Runtime b. Building Images c. Shipping Images 3. Kubernetes: Container Orchestration
5 What are Containers? (Part 1: the Runtime) Virtualize the kernel s syscall interface no guest OS or hypervisor as with VMs Isolation (from each other and from the host) chroots namespaces cgroups Packaging hermetically sealed bundles no external dependencies no DLL hell portable from dev laptop to on-prem & clouds app app libs libs app app libs libs kernel
6 What are Containers? (Part 2: Building an Image) % cat - > Dockerfile FROM node:4.4 EXPOSE 8080 COPY server.js. CMD node server.js
7 What are Containers? (Part 2: Building an Image) % cat Dockerfile FROM node:4.4 EXPOSE 8080 COPY server.js. CMD node server.js % docker build -t gcr.io/mohr-dev/hello-node:v1. [log spam]
8 What are Containers? (Part 2: Building an Image) % cat Dockerfile FROM node:4.4 EXPOSE 8080 COPY server.js. CMD node server.js % docker build -t gcr.io/mohr-dev/hello-node:v1. [log spam] % docker run -d -p 8080: name hello_tutorial gcr.io/mohr-dev/hello-node:v1
9 What are Containers? (Part 2: Building an Image) % cat Dockerfile FROM node:4.4 EXPOSE 8080 COPY server.js. CMD node server.js % docker build -t gcr.io/mohr-dev/hello-node:v1. [log spam] % docker run -d -p 8080: name hello_tutorial gcr.io/mohr-dev/hello-node:v1 % curl Hello World!
10 What are Containers? (Part 3: Shipping an Image) The magic: % gcloud docker --authorize-only % docker push gcr.io/mohr-dev/hellonode:v1 The push refers to a repository [gcr.io/mohr-dev/hellonode] (len: 1) [...] v1: digest: sha256:d2f8b1387c535de6d6752a7c02c107576e86f9435d275be861fa8c6df5a29c4d size: 12985
11 What are Containers? (Part 3: Shipping an Image) The magic: % gcloud docker --authorize-only % docker push gcr.io/mohr-dev/hellonode:v1 The push refers to a repository [gcr.io/mohr-dev/hellonode] (len: 1) [...] v1: digest: sha256:d2f8b1387c535de6d6752a7c02c107576e86f9435d275be861fa8c6df5a29c4d size: Then, from any other machine: % docker pull gcr.io/mohr-dev/hellonode:v1 v1: Pulling from mohr-dev/hellonode Digest: sha256:d2f8b1387c535de6d6752a7c02c107576e86f9435d275be861fa8c6df5a29c4d Status: Image is up to date for gcr.io/mohr-dev/hellonode:v1 % docker run $ARGS gcr.io/mohr-dev/hellonode:v1...
12 Contents 1. Prelude: Systems Projects at Google Seattle and Kirkland 2. Brief Docker Container Primer 3. Kubernetes: Container Orchestration
13 Image by Connie Zhou
14 Failures A 2000-machine cluster will have 1 to 10 machine failures per day. This is not a problem: it's normal. Images by Connie Zhou
15 Kubernetes Greek for Helmsman ; also the root of the words governor and cybernetic Manages container clusters Inspired and informed by Google s experiences and internal systems Supports multiple cloud and bare-metal environments Supports multiple container runtimes 100% Open source, written in Go Manage applications, not machines
16 All you really care about Container Cluster API UI
17 The foot view kubelet API apiserver CLI etcd kubelet scheduler UI controllers users kubelet master nodes
18 Container clusters: A story in two parts
19 Container clusters: A story in two parts 1. Setting up the cluster Choose a cloud: GCE, AWS, Azure, Rackspace, on-premises,... Choose a node OS: CoreOS, Atomic, RHEL, Debian, CentOS, Ubuntu,... Provision machines: Boot VMs, install and run kube components,... Configure networking: IP ranges for Pods, Services, SDN,... Start cluster services: DNS, logging, monitoring,... Manage nodes: kernel upgrades, OS updates, hardware failures... Not the easy or fun part, but unavoidable This is where things like Google Container Engine (GKE) really help
20 Container clusters: A story in two parts 2. Using the cluster Run Pods & Containers ReplicaSets & Deployments & DaemonSets & StatefulSets Services & Volumes & Secrets & Autoscalers This is the fun part! A distinct set of problems from cluster setup and management Don t make developers deal with cluster administration! Accelerate development by focusing on the applications, not the cluster
21 Kubernetes: a Cloud OS? Perhaps grandiose, but attempts at Cloud OS primitives: Scheduling: Decide where my containers should run Lifecycle and health: Keep my containers running despite failures Scaling: Make sets of containers bigger or smaller Naming and discovery: Find where my containers are now Load balancing: Distribute traffic across a set of containers Storage volumes: Provide data to containers Logging and monitoring: Track what s happening with my containers Debugging and introspection: Enter or attach to containers Identity and authorization: Control who can do things to my containers
22 Workload Portability
23 Workload portability Goal: Avoid vendor lock-in Runs in many environments, including bare metal and your laptop The API and the implementation are 100% open The whole system is modular and replaceable
24 Workload portability Goal: Write once, run anywhere* Don t force apps to know about concepts that are cloud-provider-specific Examples of this: Network model Ingress Service load-balancers PersistentVolumes * approximately
25 Workload portability Result: Portability Build your apps on-prem, lift-and-shift into cloud when you are ready Don t get stuck with a platform that doesn t work for you Put your app on wheels and move it whenever and wherever you need
26 Networking
27 Docker networking
28 Docker networking NAT NAT NAT NAT NAT
29 Port mapping A: C: SNAT SNAT B:
30 Port mapping D E T C E J E R A: SNAT 80 SNAT C: B:
31 Kubernetes networking IPs are cluster-scoped vs docker default private IP Pods can reach each other directly even across nodes No brokering of port numbers too complex, why bother? This is a fundamental requirement can be L3 routed can be underlayed (cloud) can be overlayed (SDN)
32 Kubernetes networking / / /24
33 Pods
34 Pods Small group of containers & volumes Content Manager Consumers Tightly coupled The atom of scheduling & placement Shared namespace File Puller share IP address & localhost share IPC, etc. Managed lifecycle bound to a node, restart in place can die, cannot be reborn with same ID Volume Example: data puller & web server Pod Web Server
35 Volumes Pod-scoped storage Support many types of volume plugins Empty dir (and tmpfs) Host path Git repository GCE Persistent Disk AWS Elastic Block Store Azure File Storage iscsi Flocker NFS vsphere GlusterFS Ceph File and RBD Cinder FibreChannel Secret, ConfigMap, DownwardAPI Flex (exec a binary)...
36 Labels & Selectors
37 Labels Arbitrary metadata Attached to any API object Generally represent identity Queryable by selectors think SQL select... where... The only grouping mechanism pods under a ReplicaSet pods in a Service capabilities of a node (constraints)
38 Selectors App: MyApp App: MyApp Phase: prod Phase: prod Role: FE Role: BE App: MyApp App: MyApp Phase: test Phase: test Role: FE Role: BE
39 Selectors App: MyApp App: MyApp Phase: prod Phase: prod Role: FE Role: BE App: MyApp App: MyApp Phase: test Phase: test Role: FE Role: BE App = MyApp
40 Selectors App: MyApp App: MyApp Phase: prod Phase: prod Role: FE Role: BE App: MyApp App: MyApp Phase: test Phase: test Role: FE Role: BE App = MyApp, Role = FE
41 Selectors App: MyApp App: MyApp Phase: prod Phase: prod Role: FE Role: BE App: MyApp App: MyApp Phase: test Phase: test Role: FE Role: BE App = MyApp, Role = BE
42 Selectors App: MyApp App: MyApp Phase: prod Phase: prod Role: FE Role: BE App: MyApp App: MyApp Phase: test Phase: test Role: FE Role: BE App = MyApp, Phase = prod
43 Selectors App: MyApp App: MyApp Phase: prod Phase: prod Role: FE Role: BE App: MyApp App: MyApp Phase: test Phase: test Role: FE Role: BE App = MyApp, Phase = test
44 Replication
45 ReplicaSets ReplicaSet A simple control loop Runs out-of-process wrt API server - name = my-rc selector = { App : MyApp } template = {... } replicas = 4 One job: ensure N copies of a pod grouped by a selector too few? start some too many? kill some How many? Start 1 more How many? 3 OK Layered on top of the public Pod API API Server Replicated pods are fungible No implied order or identity 4
46 Control loops: the Reconciler Pattern Drive current state -> desired state observe Act independently APIs - no shortcuts or back doors act Observed state is truth* Recurring pattern in the system diff Example: ReplicaSet * Observations are really stale caches of what once was your view of truth.
47 Services
48 Services A group of pods that work together Client grouped by a selector Defines access policy load balanced or headless Virtual IP Can have a stable virtual IP and port also a DNS name VIP is managed by kube-proxy watches all services updates iptables when backends change default implementation - can be replaced! Hides complexity
49 iptables kube-proxy Node X kube-proxy apiserver iptables
50 iptables kube-proxy services & endpoints Node X kube-proxy watch apiserver iptables
51 iptables kube-proxy kubectl run... Node X kube-proxy watch apiserver iptables
52 iptables kube-proxy Node X kube-proxy watch apiserver schedule iptables
53 iptables kube-proxy kubectl expose... Node X kube-proxy watch apiserver iptables
54 iptables kube-proxy new service! Node X kube-proxy update apiserver iptables
55 iptables kube-proxy Node X kube-proxy watch apiserver configure iptables
56 iptables kube-proxy Node X kube-proxy watch apiserver VIP iptables
57 iptables kube-proxy new endpoints! Node X kube-proxy update apiserver VIP iptables
58 iptables kube-proxy Node X kube-proxy watch apiserver configure VIP iptables
59 iptables kube-proxy Node X kube-proxy watch apiserver VIP iptables
60 iptables kube-proxy Node X kube-proxy watch apiserver Client VIP iptables
61 iptables kube-proxy Node X kube-proxy watch apiserver Client VIP iptables
62 iptables kube-proxy Node X kube-proxy watch apiserver Client VIP iptables
63 iptables kube-proxy Node X kube-proxy watch apiserver Client VIP iptables
64 External services Services VIPs are only available inside the cluster Need to receive traffic from the outside world Service type NodePort: expose on a port on every node LoadBalancer: provision a cloud load-balancer DiY load-balancer solutions socat (for nodeport remapping) haproxy nginx Ingress (L7 LB)
65 Ingress (L7 LB) Client Many apps are HTTP/HTTPS Services are L4 (IP + port) Ingress maps incoming traffic to backend services URL Map by HTTP host headers by HTTP URL paths HAProxy, NGINX, AWS and GCE implementations in progress Now with SSL! Status: BETA in Kubernetes v1.2
66 Rolling Update
67 Rolling Update Service - app: MyApp ReplicaSet - name: my-app-v1 - replicas: 3 - selector: - app: MyApp - version: v1
68 Rolling Update Service - app: MyApp ReplicaSet - name: my-app-v1 - replicas: 3 - selector: - app: MyApp - version: v1 ReplicaSet - name: my-app-v2 - replicas: 0 - selector: - app: MyApp - version: v2
69 Rolling Update Service - app: MyApp ReplicaSet - name: my-app-v1 - replicas: 3 - selector: - app: MyApp - version: v1 ReplicaSet - name: my-app-v2 - replicas: 1 - selector: - app: MyApp - version: v2
70 Rolling Update Service - app: MyApp ReplicaSet - name: my-app-v1 - replicas: 2 - selector: - app: MyApp - version: v1 ReplicaSet - name: my-app-v2 - replicas: 1 - selector: - app: MyApp - version: v2
71 Rolling Update Service - app: MyApp ReplicaSet - name: my-app-v1 - replicas: 2 - selector: - app: MyApp - version: v1 ReplicaSet - name: my-app-v2 - replicas: 2 - selector: - app: MyApp - version: v2
72 Rolling Update Service - app: MyApp ReplicaSet - name: my-app-v1 - replicas: 1 - selector: - app: MyApp - version: v1 ReplicaSet - name: my-app-v2 - replicas: 2 - selector: - app: MyApp - version: v2
73 Rolling Update Service - app: MyApp ReplicaSet - name: my-app-v1 - replicas: 1 - selector: - app: MyApp - version: v1 ReplicaSet - name: my-app-v2 - replicas: 3 - selector: - app: MyApp - version: v2
74 Rolling Update Service - app: MyApp ReplicaSet - name: my-app-v1 - replicas: 0 - selector: - app: MyApp - version: v1 ReplicaSet - name: my-app-v2 - replicas: 3 - selector: - app: MyApp - version: v2
75 Rolling Update Service - app: MyApp ReplicaSet - name: my-app-v2 - replicas: 3 - selector: - app: MyApp - version: v2
76 Deployments
77 Deployments Updates-as-a-service Rolling update is imperative, client-side Deployment manages replica changes for you stable object name updates are configurable, done server-side kubectl edit or kubectl apply Aggregates stats Can have multiple updates in flight... Status: BETA in Kubernetes v1.2
78 DaemonSets
79 DaemonSets Pod Problem: how to run a Pod on every node? or a subset of nodes Similar to ReplicaSet principle: do one thing, don t overload Which nodes? is a selector Use familiar tools and patterns Status: BETA in Kubernetes v1.2
80 Jobs
81 Jobs Run-to-completion, as opposed to run-forever Express parallelism vs. required completions Workflow: restart on failure Build/test: don t restart on failure Aggregates success/failure counts Built for batch and big-data work Status: GA in Kubernetes v1.2...
82 PersistentVolumes
83 PersistentVolumes A higher-level storage abstraction insulation from any one cloud environment Admin provisions them, users claim them NEW: auto-provisioning (alpha in v1.2) Claim Independent lifetime from consumers lives until user is done with it can be handed-off between pods Dynamically scheduled and managed, like nodes and pods
84 PersistentVolumes Cluster Admin
85 PersistentVolumes Provision PersistentVolumes Cluster Admin
86 PersistentVolumes PersistentVolumes Cluster Admin User
87 PersistentVolumes PersistentVolumes Cluster Admin PVClaim Create User
88 PersistentVolumes PersistentVolumes Cluster Admin PVClaim User Binder
89 PersistentVolumes PersistentVolumes Cluster Admin PVClaim Create Pod User
90 PersistentVolumes PersistentVolumes Cluster Admin * PVClaim Pod User
91 PersistentVolumes PersistentVolumes * * Cluster Admin PVClaim Delete Pod User
92 PersistentVolumes PersistentVolumes Cluster Admin * PVClaim User
93 PersistentVolumes PersistentVolumes * Cluster Admin PVClaim Create Pod User
94 PersistentVolumes PersistentVolumes Cluster Admin * PVClaim Pod User
95 PersistentVolumes PersistentVolumes * Cluster Admin PVClaim Delete Pod User
96 PersistentVolumes PersistentVolumes * Cluster Admin PVClaim Delete User
97 PersistentVolumes PersistentVolumes Cluster Admin Recycler User
98 StatefulSets
99 StatefulSets Goal: enable clustered software on Kubernetes mysql, redis, zookeeper,... Clustered apps need identity and sequencing guarantees stable hostname, available in DNS an ordinal index stable storage: linked to the ordinal & hostname discovery of peers for quorum startup/teardown ordering Status: ALPHA in Kubernetes v1.3
100 ConfigMaps
101 ConfigMaps API Goal: manage app configuration...without making overly-brittle container images Config Map Pod 12-factor says config comes from the environment Kubernetes is the environment Manage config via the Kubernetes API node Inject config as a virtual volume into your Pods late-binding, live-updated (atomic) also available as env vars Status: GA in Kubernetes v1.2
102 Secrets
103 Secrets API Goal: grant a pod access to a secured something don t put secrets in the container image! Pod Secret 12-factor says config comes from the environment Kubernetes is the environment Manage secrets via the Kubernetes API node Inject secrets as virtual volumes into your Pods late-binding, tmpfs - never touches disk also available as env vars
104 HorizontalPodAutoscalers
105 HorizontalPodAutoScalers Stats Goal: Automatically scale pods as needed based on CPU utilization (for now) custom metrics in Alpha Efficiency now, capacity when you need it Operates within user-defined min/max bounds Set it and forget it... Status: GA in Kubernetes v1.2
106 Multi-Zone Clusters
107 Multi-Zone Clusters User Goal: zone-fault tolerance for applications Zero API changes relative to kubernetes Create services, ReplicaSets, etc. exactly as usual Federation Master Nodes and PersistentVolumes are labelled with their availability zone Fully automatic for GKE, GCE, AWS Manual for on-premise and other cloud providers (for now) Zone A Zone B Status: GA in Kubernetes v1.2 Zone C
108 Namespaces
109 Namespaces Problem: I have too much stuff! name collisions in the API poor isolation between users don t want to expose things like Secrets Solution: Slice up the cluster create new Namespaces as needed per-user, per-app, per-department, etc. part of the API - NOT private machines most API objects are namespaced part of the REST URL path Namespaces are just another API object One-step cleanup - delete the Namespace Obvious hook for policy enforcement (e.g. quota)
110 Resource Isolation
111 Resource Isolation Principles: Apps must not be able to affect each other s performance if so it is an isolation failure Repeated runs of the same app should see ~equal behavior QoS levels drives resource decisions in (soft) real-time Correct in all cases, optimal in some reduce unreliable components SLOs are the lingua franca
112 Strong isolation Pros: Sharing - users don t worry about interference (aka the noisy neighbor problem) Predictable - allows us to offer strong SLAs to apps Cons: Stranding - arbitrary slices mean some resources get lost Confusing - how do I know how much I need? analog: what size VM should I use? smart auto-scaling is needed! Expensive - you pay for certainty In reality this is a multi-dimensional bin-packing problem: CPU, memory, disk space, IO bandwidth, network bandwidth,...
113 Requests and Limits Request: how much of a resource you are asking to use, with a strong guarantee of availability CPU (seconds/second) RAM (bytes) scheduler will not over-commit requests Limit: max amount of a resource you can access Repercussions: Usage > Request: resources might be available Usage > Limit: throttled or killed
114 Quality of Service Defined in terms of Request and Limit Guaranteed: highest protection request > 0 && limit == request Burstable: medium protection request > 0 && limit > request Best Effort: lowest protection request == 0 What does protection mean? OOM score CPU scheduling
115 Quota and Limits
116 ResourceQuota Admission control: apply limits in aggregate Per-namespace: ensure no user/app/department abuses the cluster Reminiscent of disk quota by design Applies to each type of resource CPU and memory for now Disallows pods without resources
117 LimitRange Admission control: limit the limits min and max ratio of limit/request Default values for unspecified limits Per-namespace Together with ResourceQuota gives cluster admins powerful tools
118 Cluster Auto-Scaling
119 Cluster Autoscaler Add nodes when needed there are pending pods some pending pods would fit if we add a node Remove nodes when not needed after removal, all pods must fit remaining nodes Status: Works on GCE, GKE and AWS...
120 Scalability
121 Scalability & Performance SLO met at <2000 nodes, <60000 pods 99% of API calls return in < 1 second 99% of pods start in < 5 seconds Coming soon protobufs in API storage (already enabled on the wire) 5000 nodes
122 Design principles Declarative > imperative: State your desired results, let the system actuate Control loops: Observe, rectify, repeat Simple > Complex: Try to do as little as possible Modularity: Components, interfaces, & plugins Legacy compatible: Requiring apps to change is a non-starter Network-centric: IP addresses are cheap No grouping: Labels are the only groups Sets > Pets: Manage your workload in bulk Open > Closed: Open Source, standards, REST, JSON, etc.
123 Kubernetes (K8s) Community ~5k Commits in 1.4 over 3 months Companies Contributing Companies Using > 800 Unique Contributors Top 0.01% of all Github Projects External Projects Based on K8s
124 Niantic chose GKE for its ability to orchestrate their container cluster at planetary-scale, freeing its team to focus on deploying live changes for their players. - Niantic
125 Further Reading If this talk was interesting, deeper academic reading on cluster management: Borg, Omega, and Kubernetes ACM Queue, March 2, 2016, Volume 14, issue 1 Or a hands-on Hello World quickstart to build a Docker image and run it on a Kubernetes cluster: Another hard problem: how do you run N Kubernetes clusters as a service? create/delete, update, monitor, repair, escalate, upgrade, backup/restore, zonal isolation, incremental rollouts, support ticket escalation, provisioning, and more!
126 Questions? Potential discussion: What about Docker Swarm? Mesos? What s next for Kubernetes and Container Engine? Why Google not FB/Uber/MS/Ama/etc? How do I get an internship / job? Let s discuss! Alex on Philosophy: Imperative vs. declarative Orchestration vs. choreography Product vs. tech User guide vs. design doc Engineering code vs. organizations Your team is a design parameter Launch and iterate; MVP More questions? Happy to chat! Lunch 1:1 s after that mohr@google.com 590s@alexmohr.com
Kubernetes: What s New
Kubernetes: What s New LISA 15 Tim Hockin Senior Staff Software Engineer @thockin This is Kubernetes 201 If you re lost, I m happy to answer questions later or at the BoF tonight Obligatory
Managing Compute and Storage at Scale with Kubernetes. Dan Paik / Google
Managing Compute and Storage at Scale with Kubernetes Dan Paik / Google Have You Recently... played a hit mobile game? shopped at an online marketplace? followed breaking news? attended a concert? filed
Introduction to Kubernetes Storage Primitives for Stateful Workloads
September 12, 2017 Introduction to Kubernetes Storage Primitives for Stateful Workloads Saad Ali Google @the_saad_ali Chris Duchesne {code} @ChrisDuchesne Agenda Presentation Quick intro to Kubernetes
@briandorsey #kubernetes #GOTOber
1 Kubernetes Changing the way we think and talk about computing GOTO Berlin - December 2015 2 What is this talk? Container 3 Brian Dorsey Developer Advocate - Google Cloud platform +BrianDorsey @briandorsey
Microservices. Chaos Kontrolle mit Kubernetes. Robert Kubis - Developer Advocate,
Microservices Chaos Kontrolle mit Kubernetes Robert Kubis - Developer Advocate, Google @hostirosti About me Robert Kubis Developer Advocate Google Cloud Platform London, UK hostirosti github.com/hostirosti
So, I have all these containers! Now what?
So, I have all these containers! Now what? Image by Connie Zhou Developer View job hello_world = { runtime = { cell = 'ic' } // Cell (cluster) to run in binary = '.../hello_world_webserver' // Program
An Introduction to Kubernetes
8.10.2016 An Introduction to Kubernetes Premys Kafka premysl.kafka@hpe.com kafkapre https://github.com/kafkapre { History }???? - Virtual Machines 2008 - Linux containers (LXC) 2013 - Docker 2013 - CoreOS
Kubernetes: Twelve KeyFeatures
Kubernetes: Twelve KeyFeatures Kubernetes is a Greek word which means helmsman, or the pilot of a ship. It is an open source project that was started by Google and derived from Borg, which is used inside
Kuber-what?! Learn about Kubernetes
DEVNET-1999 Kuber-what?! Learn about Kubernetes Ashley Roach, Principal Engineer Evangelist Agenda Objectives A brief primer on containers The problems with running containers at scale Orchestration systems
What s New in K8s 1.3
What s New in K8s 1.3 Carter Morgan Background: 3 Hurdles How do I write scalable apps? The App How do I package and distribute? What runtimes am I locked into? Can I scale? The Infra Is it automatic?
What s New in K8s 1.3
What s New in K8s 1.3 Carter Morgan Background: 3 Hurdles How do I write scalable apps? The App How do I package and distribute? What runtimes am I locked into? Can I scale? The Infra Is it automatic?
agenda PAE Docker Docker PAE
Docker 2016.03.26 agenda PAE Docker Docker PAE 2 3 PAE PlCloud APP Engine Docker Docker Caas APP 4 APP APP volume images 5 App 6 APP Show Time 7 8 Docker Public DockerHup Private registry push pull AUFS
CONTAINERS AND MICROSERVICES WITH CONTRAIL
CONTAINERS AND MICROSERVICES WITH CONTRAIL Scott Sneddon Sree Sarva DP Ayyadevara Sr. Director Sr. Director Director Cloud and SDN Contrail Solutions Product Line Management This statement of direction
Kubernetes The Path to Cloud Native
Kubernetes The Path to Cloud Native Eric Brewer VP, Infrastructure @eric_brewer August 28, 2015 ACM SOCC Cloud Na*ve Applica*ons Middle of a great transition unlimited ethereal resources in the Cloud an
Kubernetes 101. Doug Davis, STSM September, 2017
Kubernetes 101 Doug Davis, STSM September, 2017 Today's Agenda What is Kubernetes? How was Kubernetes created? Where is the Kubernetes community? Technical overview What's the current status of Kubernetes?
Kubernetes introduction. Container orchestration
Kubernetes introduction Container orchestration Container Orchestration Why we need container orchestration? Restart containers if they are not healthy. Provide private container network. Service discovery.
A REFERENCE ARCHITECTURE FOR DEPLOYING WSO2 MIDDLEWARE ON KUBERNETES
A REFERENCE ARCHITECTURE FOR DEPLOYING WSO2 BY FRANK LEYMANN MIDDLEWARE ON KUBERNETES BY IMESH GUNARATNE SENIOR TECHNICAL LEAD, WSO2 WSO2 REST API DESIGN GUIDELINES TABLE OF CONTENTS 1. An Introduction
OpenShift 3 Technical Architecture. Clayton Coleman, Dan McPherson Lead Engineers
OpenShift 3 Technical Architecture Clayton Coleman, Dan McPherson Lead Engineers Principles The future of *aas Redefine the Application Networked components wired together Not just a web frontend anymore
Kubernetes. An open platform for container orchestration. Johannes M. Scheuermann. Karlsruhe,
Kubernetes An open platform for container orchestration Johannes M. Scheuermann Karlsruhe, 30.08.2017 Johannes M. Scheuermann Cloud Platform Engineer @ inovex Software-Defined Datacenters Infrastructure
Code: Slides:
Workshop Resources Code: https://github.com/beekpr/public-workshops Slides: https://tinyurl.com/yc2uo3wk Make sure minikube and kubectl is setup (labs/1-setup-cluster.md has some instructions) Kubernetes
Important DevOps Technologies (3+2+3days) for Deployment
Important DevOps Technologies (3+2+3days) for Deployment DevOps is the blending of tasks performed by a company's application development and systems operations teams. The term DevOps is being used in
UP! TO DOCKER PAAS. Ming
UP! TO DOCKER PAAS Ming Jin(mjin@thoughtworks.com) March 15, 2015 1 WHO AM I Ming Jin Head of Cloud Solutions of ThoughtWorks China Architect, Agile Consulting Solutions and Consulting on DevOps & Cloud
Think Small to Scale Big
Think Small to Scale Big Intro to Containers for the Datacenter Admin Pete Zerger Principal Program Manager, MVP pete.zerger@cireson.com Cireson Lee Berg Blog, e-mail address, title Company Pete Zerger
Kubernetes 1.9 Features and Future
OpenShift Commons Briefing: Kubernetes 1.9 Features and Future Derek Carr - Lead Engineer, Kubernetes What s new this time around? RELEASE STATS Shorter release (end of year) 6000+ pull requests merged
Evolution of Kubernetes in One Year From Technical View
Evolution of Kubernetes in One Year From Technical View Harry Zhang Background Docker = Fan economy Github search stack overflow DockerCon de facto Docker Kubernetes diversity Docker Image Image ACI RunC
Understanding and Evaluating Kubernetes. Haseeb Tariq Anubhavnidhi Archie Abhashkumar
Understanding and Evaluating Kubernetes Haseeb Tariq Anubhavnidhi Archie Abhashkumar Agenda Overview of project Kubernetes background and overview Experiments Summary and Conclusion 1. Overview of Project
Disclaimer This presentation may contain product features that are currently under development. This overview of new technology represents no commitme
CNA1612BU Deploying real-world workloads on Kubernetes and Pivotal Cloud Foundry VMworld 2017 Fred Melo, Director of Technology, Pivotal Merlin Glynn, Sr. Technical Product Manager, VMware Content: Not
Container Orchestration on Amazon Web Services. Arun
Container Orchestration on Amazon Web Services Arun Gupta, @arungupta Docker Workflow Development using Docker Docker Community Edition Docker for Mac/Windows/Linux Monthly edge and quarterly stable
Everything You Ever Wanted To Know About Resource Scheduling... Almost
logo Everything You Ever Wanted To Know About Resource Scheduling... Almost Tim Hockin Senior Staff Software Engineer, Google @thockin Who is thockin? Founding member of Kubernetes
gcp / gke / k8s microservices
gcp / gke / k8s microservices managing microservices with kubernetes 08.17.2016 Austin GCPUG Lou Scalpati CTO RxWiki microservices What are Microservices generally REST APIs returning json organized around
Designing MQ deployments for the cloud generation
Designing MQ deployments for the cloud generation WebSphere User Group, London Arthur Barr, Senior Software Engineer, IBM MQ 30 th March 2017 Top business drivers for cloud 2 Source: OpenStack user survey,
Kubernetes Integration Guide
Kubernetes Integration Guide Cloud-Native Security www.aporeto.com Aporeto Kubernetes Integration Guide The purpose of this document is to describe the features of Aporeto that secure application services
Kubernetes 1.8 and Beyond
Kubernetes 1.8 and Beyond Aparna Sinha, Group Product Manager, Google OpenShift Commons Gathering - Austin, Texas Why do users choose Kubernetes? Open Source Community Frequent releases Resource efficiency
Life of a Packet. KubeCon Europe Michael Rubin TL/TLM in GKE/Kubernetes github.com/matchstick. logo. Google Cloud Platform
logo Life of a Packet KubeCon Europe 2017 Michael Rubin TL/TLM in GKE/Kubernetes github.com/matchstick Google Cloud Platform Kubernetes is about clusters Because of that, networking
WHITE PAPER. RedHat OpenShift Container Platform. Benefits: Abstract. 1.1 Introduction
WHITE PAPER RedHat OpenShift Container Platform Abstract Benefits: Applications are designed around smaller independent components called microservices. Elastic resources: Scale up or down quickly and
Package your Java Application using Docker and Kubernetes. Arun
Package your Java Application using Docker and Kubernetes Arun Gupta, @arungupta Docker Captain Java Champion JavaOne Rock Star (4 years) NetBeans Dream Team Silicon Valley JUG Leader Author Runner Lifelong
Kubernetes - Networking. Konstantinos Tsakalozos
Kubernetes - Networking Konstantinos Tsakalozos Kubernetes From the greek word κυβερνήτης originally designed by Google and donated to the Cloud Native Computing Foundation. Presented at "Large-scale cluster
Running MarkLogic in Containers (Both Docker and Kubernetes)
Running MarkLogic in Containers (Both Docker and Kubernetes) Emma Liu Product Manager, MarkLogic Vitaly Korolev Staff QA Engineer, MarkLogic @vitaly_korolev 4 June 2018 MARKLOGIC CORPORATION Source: http://turnoff.us/image/en/tech-adoption.png
Scaling Jenkins with Docker and Kubernetes Carlos
Scaling Jenkins with Docker and Kubernetes Carlos Sanchez @csanchez Containers & micro services But it is not trivial @YourTwitterHandle Docker Linux containers Union File System File System Processes
Launching StarlingX. The Journey to Drive Compute to the Edge Pilot Project Supported by the OpenStack
Launching StarlingX The Journey to Drive Compute to the Edge Pilot Project Supported by the OpenStack Foundation Ian Jolliffe, WIND RIVER SYSTEMS Director Engineering @ian_jolliffe Project Overview An
Table of Contents HOL CNA
Table of Contents Lab Overview - - Kubernetes - Getting Started... 2 Lab Guidance... 3 Module 1 - Introduction to Kubernetes (30 minutes)... 9 Introduction... 10 What is container orchestration and why
Continuous delivery while migrating to Kubernetes
Continuous delivery while migrating to Kubernetes Audun Fauchald Strand Øyvind Ingebrigtsen Øvergaard @audunstrand @oyvindio FINN Infrastructure History Kubernetes at FINN Agenda Finn Infrastructure As
Kubernetes Integration with Virtuozzo Storage
Kubernetes Integration with Virtuozzo Storage A Technical OCTOBER, 2017 2017 Virtuozzo. All rights reserved. 1 Application Container Storage Application containers appear to be the perfect tool for supporting
The Long Road from Capistrano to Kubernetes
The Long Road from Capistrano to Kubernetes Tobias Schwab, Co-Founder of PhraseApp Slides: http://bit.ly/cap-to-kube How to deploy Ruby on Rails? Deploying Ruby on Rails required on all servers: OS + system
Kuberiter White Paper. Kubernetes. Cloud Provider Comparison Chart. Lawrence Manickam Kuberiter Inc
Kuberiter White Paper Kubernetes Cloud Provider Comparison Chart Lawrence Manickam Kuberiter Inc Oct 2018 Executive Summary Kubernetes (K8S) has become the de facto standard for Cloud Application Deployments.
Kubernetes. Introduction
Kubernetes Introduction WOJCIECH BARCZYŃSKI (hiring) Senior Software Engineer Lead of Warsaw Team - SMACC System Engineer background Interests: working software Hobby: teaching software engineering BACKGROUND
Windows Azure Services - At Different Levels
Windows Azure Windows Azure Services - At Different Levels SaaS eg : MS Office 365 Paas eg : Azure SQL Database, Azure websites, Azure Content Delivery Network (CDN), Azure BizTalk Services, and Azure
Containers, Serverless and Functions in a nutshell. Eugene Fedorenko
Containers, Serverless and Functions in a nutshell Eugene Fedorenko About me Eugene Fedorenko Senior Architect Flexagon adfpractice-fedor.blogspot.com @fisbudo Agenda Containers Microservices Docker Kubernetes
Introduction to Kubernetes
Introduction to Kubernetes Neil Peterson @nepeters #ITDEVCONNECTIONS Session Topics - Quick primer on containers - Container mgmt solutions - Kubernetes basics - Kubernetes deeper dive - Kubernetes beyond
/ Cloud Computing. Recitation 5 February 14th, 2017
15-319 / 15-619 Cloud Computing Recitation 5 February 14th, 2017 1 Overview Administrative issues Office Hours, Piazza guidelines Last week s reflection Project 2.1, OLI Unit 2 modules 5 and 6 This week
개발자와운영자를위한 DevOps 플랫폼 OpenShift Container Platform. Hyunsoo Senior Solution Architect 07.Feb.2017
개발자와운영자를위한 DevOps 플랫폼 OpenShift Container Platform Hyunsoo Kim(hykim@redhat.com) Senior Solution Architect 07.Feb.2017 1 Agenda 1. What is DevOps? 2. Platform as a Service(PaaS) 3. Build & Deploy on PaaS
AGILE DEVELOPMENT AND PAAS USING THE MESOSPHERE DCOS
Sunil Shah AGILE DEVELOPMENT AND PAAS USING THE MESOSPHERE DCOS 1 THE DATACENTER OPERATING SYSTEM (DCOS) 2 DCOS INTRODUCTION The Mesosphere Datacenter Operating System (DCOS) is a distributed operating
OpenShift Roadmap Enterprise Kubernetes for Developers. Clayton Coleman, Architect, OpenShift
OpenShift Roadmap Enterprise Kubernetes for Developers Clayton Coleman, Architect, OpenShift What Is OpenShift? Application-centric Platform INFRASTRUCTURE APPLICATIONS Use containers for efficiency Hide
Hacking and Hardening Kubernetes
SESSION ID: HT-W02 Hacking and Hardening Kubernetes Jay Beale CTO InGuardians, Inc @jaybeale and @inguardians Adam Crompton Senior Security Analyst InGuardians, Inc. @3nc0d3r and @inguardians Table of
/ Cloud Computing. Recitation 5 September 26 th, 2017
15-319 / 15-619 Cloud Computing Recitation 5 September 26 th, 2017 1 Overview Administrative issues Office Hours, Piazza guidelines Last week s reflection Project 2.1, OLI Unit 2 modules 5 and 6 This week
Onto Petaflops with Kubernetes
Onto Petaflops with Kubernetes Vishnu Kannan Google Inc. vishh@google.com Key Takeaways Kubernetes can manage hardware accelerators at Scale Kubernetes provides a playground for ML ML journey with Kubernetes
Bringing Security and Multitenancy. Lei (Harry) Zhang
Bringing Security and Multitenancy to Kubernetes Lei (Harry) Zhang About Me Lei (Harry) Zhang #Microsoft MVP in cloud and datacenter management though I m a Linux guy :/ Previous: VMware, Baidu Feature
Kubernetes objects on Microsoft Azure
Kubernetes objects on Microsoft Azure An introduction to deployment options based on a simple ASP.NET Core web application By Mahesh Kshirsagar Azure Customer Advisory Team (AzureCAT) January 2018 Contents
What s New in Red Hat OpenShift Container Platform 3.4. Torben Jäger Red Hat Solution Architect
What s New in Red Hat OpenShift Container Platform 3.4 Torben Jäger Red Hat Solution Architect OpenShift Roadmap OpenShift Container Platform 3.2 Kubernetes 1.2 & Docker 1.9 Red Hat
Red Hat OpenShift Roadmap Q4 CY16 and H1 CY17 Releases. Lutz Lange Solution
Red Hat OpenShift Roadmap Q4 CY16 and H1 CY17 Releases Lutz Lange Solution Architect @AtomicContainer OpenShift Roadmap OpenShift Container Platform 3.2 Kubernetes 1.2 & Docker 1.9
Overview of Container Management
Overview of Container Management Wyn Van Devanter @wynv Vic Kumar Agenda Why Container Management? What is Container Management? Clusters, Cloud Architecture & Containers Container Orchestration Tool Overview
You Have Stateful Apps - What if Kubernetes Would Also Run Your Storage?
You Have Stateful Apps - What if Kubernetes Would Also Run Your Storage? Annette Clewett, Senior Architect, Red Hat Sudhir Prasad, Product Management Director, Red Hat Agenda Persistent Storage needs in
Scheduling in Kubernetes October, 2017
Scheduling in Kubernetes October, 2017 What to look for Kubernetes overview Scheduling algorithm Scheduling controls Advanced scheduling techniques Examples and use cases Kubernetes Technology stack Docker
VMWARE PIVOTAL CONTAINER SERVICE
DATASHEET VMWARE PIVOTAL CONTAINER SERVICE AT A GLANCE VMware Pivotal Container Service (PKS) is a production-grade Kubernetes-based container solution equipped with advanced networking, a private container
Using DC/OS for Continuous Delivery
Using DC/OS for Continuous Delivery DevPulseCon 2017 Elizabeth K. Joseph, @pleia2 Mesosphere 1 Elizabeth K. Joseph, Developer Advocate, Mesosphere 15+ years working in open source communities 10+ years
Cloud & container monitoring , Lars Michelsen Check_MK Conference #4
Cloud & container monitoring 04.05.2018, Lars Michelsen Some cloud definitions Applications Data Runtime Middleware O/S Virtualization Servers Storage Networking Software-as-a-Service (SaaS) Applications
Container-Native Storage
Container-Native Storage Solving the Persistent Storage Challenge with GlusterFS Michael Adam Manager, Software Engineering José A. Rivera Senior Software Engineer 2017.09.11 WARNING The following presentation
Taming Distributed Pets with Kubernetes
Taming Distributed Pets with Kubernetes Matthew Bates & James Munnelly QCon London 2018 jetstack.io Who are Jetstack? We are a UK-based company that help enterprises in their path to modern cloud-native
Developing Kubernetes Services
/ MARCH 2019 / CON LONDON Developing Kubernetes Services at Airbnb Scale What is kubernetes? @MELAN IECEBULA Who am I? A BRIEF HISTORY Why Microservices? 4000000 3000000 MONOLITH LOC 2000000 1000000 0
Two years of on Kubernetes
Two years of on Kubernetes Platform Engineer @ rebuy Once a Fullstack- and Game-Developer Got interested in container technologies in 2014 and jumped on K8s in 2015 Finished my master thesis with a case
More Containers, More Problems
More Containers, More Problems Ed Rooth @sym3tri ed.rooth@coreos.com coreos.com Agenda 1. 2. 3. 4. Define problems Define vision of the solution How CoreOS is building solutions How you can get started
Top Nine Kubernetes Settings You Should Check Right Now to Maximize Security
White Paper Top Nine Kubernetes Settings You Should Check Right Now to Maximize Security If you use Kubernetes, you know how much it can increase development velocity and reduce operational complexity.
Who is Docker and how he can help us? Heino Talvik
Who is Docker and how he can help us? Heino Talvik heino.talvik@seb.ee heino.talvik@gmail.com What is Docker? Software guy view: Marriage of infrastucture and Source Code Management Hardware guy view:
Building a Microservices Platform with Kubernetes. Matthew Mark
Building a Microservices Platform with Kubernetes Matthew Mark Miller @DataMiller Cloud Native: Microservices running inside Containers on top of Platforms on any infrastructure Microservice A software
Operating Within Normal Parameters: Monitoring Kubernetes
Operating Within Normal Parameters: Monitoring Kubernetes Elana Hashman Two Sigma Investments, LP SREcon 2019 Americas Brooklyn, NY Disclaimer This document is being distributed for informational and educational
Investigating Containers for Future Services and User Application Support
Investigating Containers for Future Services and User Application Support JLAB CNI NLIT 2018 () Overview JLAB scope What is a container? Why are we interested? Platform-as-a-Service (PaaS) for orchestration
Accelerate at DevOps Speed With Openshift v3. Alessandro Vozza & Samuel Terburg Red Hat
Accelerate at DevOps Speed With Openshift v3 Alessandro Vozza & Samuel Terburg Red Hat IT (R)Evolution Red Hat Brings It All Together What is Kubernetes Open source container cluster manager Inspired by
Building an on premise Kubernetes cluster DANNY TURNER
Building an on premise Kubernetes cluster DANNY TURNER Outline What is K8s? Why (not) run k8s? Why run our own cluster? Building what the public cloud provides 2 Kubernetes Open-Source Container Management
Knative: Building serverless platforms on top of Kubernetes
Knative: Building serverless platforms on top of Kubernetes Ahmet Alp Balkan @ahmetb Thanks to Mark Chmarny, Ryan Gregg, DeWitt Clinton and Bret McGowen for some of the slides used in this presentation.
Disclaimer This presentation may contain product features that are currently under development. This overview of new technology represents no commitme
CNA1142BE Developer-Ready Infrastructure from VMware and Pivotal Merlin Glynn (Vmware) Ramiro Salas (Pivotal) #VMworld #CNA1142BE Disclaimer This presentation may contain product features that are currently
Building a Kubernetes on Bare-Metal Cluster to Serve Wikipedia. Alexandros Kosiaris Giuseppe Lavagetto
Building a Kubernetes on Bare-Metal Cluster to Serve Wikipedia Alexandros Kosiaris Giuseppe Lavagetto Introduction The Wikimedia Foundation is the organization running the infrastructure supporting Wikipedia
Disclaimer This presentation may contain product features that are currently under development. This overview of new technology represents no commitme
CNA1509BU Developer-Ready Infrastructure from VMware and Pivotal Merlin Glynn, VMware Ramiro Salas, Pivotal #VMworld #CNA1509BU Disclaimer This presentation may contain product features that are currently
Advanced Continuous Delivery Strategies for Containerized Applications Using DC/OS
Advanced Continuous Delivery Strategies for Containerized Applications Using DC/OS ContainerCon @ Open Source Summit North America 2017 Elizabeth K. Joseph @pleia2 1 Elizabeth K. Joseph, Developer Advocate
Project Calico v3.2. Overview. Architecture and Key Components. Project Calico provides network security for containers and virtual machine workloads.
Project Calico v3.2 Overview Benefits Simplicity. Traditional Software Defined Networks (SDNs) are complex, making them hard to deploy and troubleshoot. Calico removes that complexity, with a simplified
Fault Tolerant Stateful Services on Kubernetes. Timothy St.
Fault Tolerant Stateful Services on Kubernetes Timothy St. Clair @timothysc Thank You For Attending! Many thanks to our: Sponsors! Fast Forward Fest Organizers! Big Data Wisconsin Organizers! Who... Kubernetes?
The Path to GPU as a Service in Kubernetes Renaud Gaubert Lead Kubernetes Engineer
The Path to GPU as a Service in Kubernetes Renaud Gaubert , Lead Kubernetes Engineer May 03, 2018 RUNNING A GPU APPLICATION Customers using DL DL Application RHEL 7.3 CUDA 8.0 Driver 375
Kubernetes deep dive
Kubernetes deep dive Hello! אני מיקי חיוט, מתמחה בתחום כ- 20 שנים וב- 4 שנים האחרונות עובד בבית התוכנה "אינפיניטי" המעניק פתרונות טכנולוגיים בתחומי דבאופס, תשתיות, פיתוח, אבטחת מידע ובסיסי נתונים. Kubernetes
Introduction to the Open Service Broker API. Doug Davis
Introduction to the Open Service Broker API Doug Davis IBM dug@us.ibm.com @duginabox A Brief History... u PaaS with a mission to make managing Cloud apps simple $ cf push myapp $ cf scale myapp -i 5 u
Zero to Microservices in 5 minutes using Docker Containers. Mathew Lodge Weaveworks
Zero to Microservices in 5 minutes using Docker Containers Mathew Lodge (@mathewlodge) Weaveworks (@weaveworks) https://www.weave.works/ 2 Going faster with software delivery is now a business issue Software
DevOps Technologies. for Deployment
DevOps Technologies for Deployment DevOps is the blending of tasks performed by a company's application development and systems operations teams. The term DevOps is being used in several ways. In its most
Disclaimer This presentation may contain product features that are currently under development. This overview of new technology represents no commitme
CNA2080BU Deep Dive: How to Deploy and Operationalize Kubernetes Cornelia Davis, Pivotal Nathan Ness Technical Product Manager, CNABU @nvpnathan #VMworld #CNA2080BU Disclaimer This presentation may contain
Containerisation with Docker & Kubernetes
Containerisation with Docker & Kubernetes Hello! I m Dan! Senior Field Engineer at Heptio VMware Ex: Heptio Docker Hewlett-Packard Enterprise SkyBet European Space Agency Still a maintainer and contributor
IBM Planning Analytics Workspace Local Distributed Soufiane Azizi. IBM Planning Analytics
IBM Planning Analytics Workspace Local Distributed Soufiane Azizi IBM Planning Analytics IBM Canada - Cognos Ottawa Lab. IBM Planning Analytics Agenda 1. Demo PAW High Availability on a Prebuilt Swarm
Building Kubernetes cloud: real world deployment examples, challenges and approaches. Alena Prokharchyk, Rancher Labs
Building Kubernetes cloud: real world deployment examples, challenges and approaches Alena Prokharchyk, Rancher Labs Making a right choice is not easy The illustrated children guide to Kubernetes https://www.youtube.com/watch?v=4ht22rebjno
Kubernetes made easy with Docker EE. Patrick van der Bleek Sr. Solutions Engineer NEMEA
Kubernetes made easy with Docker EE Patrick van der Bleek Sr. Solutions Engineer NEMEA Docker Enterprise Edition is More than Containers + Orchestration... DOCKER ENTERPRISE EDITION Kubernetes integration
Building/Running Distributed Systems with Apache Mesos
Building/Running Distributed Systems with Apache Mesos Philly ETE April 8, 2015 Benjamin Hindman @benh $ whoami 2007-2012 2009-2010 - 2014 my other computer is a datacenter my other computer is a datacenter
@unterstein #bedcon. Operating microservices with Apache Mesos and DC/OS
@unterstein @dcos @bedcon #bedcon Operating microservices with Apache Mesos and DC/OS 1 Johannes Unterstein Software Engineer @Mesosphere @unterstein @unterstein.mesosphere 2017 Mesosphere, Inc. All Rights
Table of Contents 1.1. Introduction. Overview of vsphere Integrated Containers 1.2
Table of Contents Introduction Overview of vsphere Integrated Containers 1.1 1.2 2 Overview of vsphere Integrated Containers This document provides an overview of VMware vsphere Integrated Containers.
Run containerized applications from pre-existing images stored in a centralized registry
Introduction This examination is based upon the most critical job activities a Docker Certified Associate performs. The skills and knowledge certified by this examination represent a level of expertise
Singularity CRI User Documentation
Singularity CRI User Documentation Release 1.0 Sylabs Apr 02, 2019 CONTENTS 1 Installation 1 1.1 Overview................................................. 1 1.2 Before you begin.............................................