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Frontier bigdata
1.
2.
Big Data: Public, Private
or Hybrid? Neil Soman Co-Founder neil@eucalyptus.com 2 © 2013 EUCALYPTUS SYSTEMS, INC.
3.
First there was
cloud • 2006: AWS launched • 2007/2008 Eucalyptus started as National Science Foundation project – First private cloud computing IaaS platform, picked AWS API • 2009 Eucalyptus Systems launched – Open Source – Today: v3.4, 2 rewrites, 7+ services, compute, network, storage • 2007+ AWS gains rapid traction and becomes industry leader 3 © 2013 EUCALYPTUS SYSTEMS, INC.
4.
Cloud & Big
Data 4 © 2013 EUCALYPTUS SYSTEMS, INC.
5.
Cloud Trends 5 © 2013
EUCALYPTUS SYSTEMS, INC.
6.
Why not just
run on bare metal? • Need level of control for end users • Reduces burden on admins • Better tenancy: can be flexible and run other tasks • Easily scale out as needed • Virtualization is getting better, overhead getting lower • Hypervisors adding more features: VirtIO, Passthrough 6 © 2013 EUCALYPTUS SYSTEMS, INC.
7.
What characteristics are
essential 7 © 2013 EUCALYPTUS SYSTEMS, INC.
8.
Big Data Considerations •
QoS/SLAs • VM placement: Physical characteristics are important • Gather performance data – E.g. CloudWatch • Scale out as needed based on performance data – E.g. Autoscaling • Ability to attach local disks • Huge/XXL instances, SSDs 8 © 2013 EUCALYPTUS SYSTEMS, INC.
9.
Big Data &
Networking • Subnet stickiness (Static IPs) • Multiple NICs for VMs • Equal cost links between VMs • High I/O (e.g. bonded interface) • Built into cloud fabric 9 © 2013 EUCALYPTUS SYSTEMS, INC.
10.
Big Data &
Storage • High performance Block Storage • Ability to use local disk • Hypervisor I/O optimizations • Ability to control VM locality • Object Storage • To store results • Scale out & capacity • Load balanced 10 © 2013 EUCALYPTUS SYSTEMS, INC.
11.
Hybrid as IaaS
future • Private & Public clouds used together • Collection of features, policies, control mechanisms to enable this • API compatibility • Semantic compatibility 11 © 2013 EUCALYPTUS SYSTEMS, INC.
12.
Eucalyptus & AWS •
API compatible with EC2, EBS, S3, IAM, CloudWatch, Elastic Load Balancing, Autoscaling – Coming up: EMR, VPC, STS, SNS, Elastic Beanstalk, … • Netflix Cloud Prize for the Best Portability Enhancement 12 © 2013 EUCALYPTUS SYSTEMS, INC.
13.
Eucalyptus Architecture • Reference
Architectures: eucalyptus.com/eucalyptus-cloud/iaas/architecture 13 © 2013 EUCALYPTUS SYSTEMS, INC.
14.
It Just Works •
Enhanced API compatibility • Easy installation • User console • Ability to import AWS or VMDK images • Ability to easily upgrade • High Availability 14 © 2013 EUCALYPTUS SYSTEMS, INC.
15.
Eucalyptus & Hybrid •
AWS fidelity – API & semantics – Error reporting • Hybrid console • SDKs and tools work “out of the box” • Netflix Asgard and other tools run on Eucalyptus • Can be extended – Google Compute Engine? • Coming up: VPC & federation. 15 © 2013 EUCALYPTUS SYSTEMS, INC.
16.
Big Data &
Eucalyptus Storage • Block Storage for data – Use local storage when possible – Very sensitive to placement • Object storage for input & results – E.g. EMR 16 © 2013 EUCALYPTUS SYSTEMS, INC.
17.
Block Storage • Ephemeral/Local
Disk Storage – Ability to specify VM types – Ability to use large instances – QoS/SLAs • E.g. High IOPs instances – Ability to specify VM placement 17 © 2013 EUCALYPTUS SYSTEMS, INC.
18.
Object Storage • Performance,
scalable storage • Scale out • Integrated with Identity & Access Management (IAM) – Ability to specify policies • Easy to add capacity • Interfaces with third party object stores – RiakCS, Ceph, Swift • Interfaces with Amazon S3 – Local storage can be treated as a cache or for reduced redundancy 18 © 2013 EUCALYPTUS SYSTEMS, INC.
19.
Scale out Object
Storage 19 © 2013 EUCALYPTUS SYSTEMS, INC.
20.
Performance Monitoring &
Scaling • CloudWatch metrics – Ability to define custom metrics • Using CloudWatch metrics to scale up & down • Better ability to reason about performance – Private cloud gives you better visibility • Use CW metrics to control Autoscaling 20 © 2013 EUCALYPTUS SYSTEMS, INC.
21.
Customer Case Study •
Dev/Test for large enterprises: 12k cores, 20k by the end of the year, 60k next year • Adopted AWS APIs • Storage – EBS & Object – Integration with existing on-premise storage infrastructure • User console • Need three Eucalyptus trained admins. 21 © 2013 EUCALYPTUS SYSTEMS, INC.
22.
Where are we
going? • Hybrid = Private + Public – Either for bursting or production deployment – Dev/Test – Scalable Web Services • Big Data needs key features • Storage – Combination of Block & Object Storage – Object stores becoming more prevalent • Do not force APIs onto users, fight “interesting” battles 22 © 2013 EUCALYPTUS SYSTEMS, INC.
23.
THANK YOU Neil Soman neil@eucalyptus.com
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