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CEPHstorage cluster to go exabyte
and beyond
Alvaro Soto
OpenStack & Ceph engineer
# whoami
OS Lover
# whoami
• Software developer
• Full Linux sysadmin stack
• Cepher / Stacker
Agenda
•Storage Background (*** I’m not a storage guy ***)
•Ceph Intro & architecture
•Myth or fact
•Ceph & OpenStack
Storage Background
*** I’m not a storage guy ***
Storage Background
ScaleUP (in the old days)
DISK DISK
DISK DISK
DISK DISK
DISK DISK
DISK DISK
Computer / System
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
Storage Background
ScaleUP (in the old days)
DISK DISK
DISK DISK
DISK DISK
DISK DISK
DISK DISK
Computer / System
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENTCLIENT
CLIENT
Storage Background
ScaleUP (in the old days)
DISK DISK
DISK DISK
DISK DISK
DISK DISK
DISK DISK
Computer / System
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENTCLIENT
CLIENT
DISK DISK
DISK
DISK DISK
DISK DISK
DISK DISK
DISK
Storage Background
ScaleUP (in the old days)
DISK DISK
DISK DISK
DISK DISK
DISK DISK
DISK DISK
Computer / System
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENTCLIENT
CLIENT
DISK DISK
DISK
DISK DISK
DISK DISK
DISK DISK
DISK
Storage Background
ScaleUP (in the old days)
DISK DISK
DISK DISK
DISK DISK
DISK DISK
DISK DISK
Computer / System
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENTCLIENT
CLIENT
DISK DISK
DISK
DISK DISK
DISK DISK
DISK DISK
DISK
Storage Background
ScaleOUT (in the cloud age)
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
Computer / System
Computer / System DISK
Computer / System DISK DISK DISK DISK
DISK DISKDISKDISK
DISK DISK DISK
DISK DISK DISK DISK
Computer / System
Storage Background
ScaleUP (in the old days)
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENT
CLIENTCLIENT
CLIENT
Computer / System Computer / System Computer / System
Computer / System Computer / System Computer / System
Computer / System Computer / System Computer / System
Computer / System Computer / System Computer / System
Ceph
introduction & architecture
• Ceph was initially created by Sage Weil (DreamHost), 2007
• Linus Torvalds merged the CephFS client into Linux kernel, 2010
• Weil created Inktank Storage, 2012
• First stable release, code name Argonaut, 2012
• Minimun two release per year (10)
• Red Hat purchased Inktank, 2014
• Last stable release, code name Jewel, 2016
Ceph
introduction & architecture
Ceph
introduction & architecture
Community focused!!!!!
commodity hardware
or standard hardware
opensource
enterprise support**
Ceph
introduction & architecture
commodity hardware
or standard hardware
enterprise support**
philosophy
design
Ceph
introduction & architecture
Scalable
Software base
Self managing / healing
OpenSource
Community focused
No single point of failure
Ceph
introduction & architecture
Data placement with CRUSH
Pseudo-random placement algorithm
Rule based configuration
Ceph
introduction & architecture
Controlled Replication Under
Scalable Hashing
Myth or fact
Performance???
Compilers: Principles, Techniques, and Tools
by Alfred Aho, Jeffrey Ullman, Monica S. Lam, and Ravi Sethi
http://www.ceph.com
Myth or fact
Reliability???
http://www.ceph.com
Myth or fact
Scalability???
http://www.ceph.com
Myth or fact
Scalability???
http://www.ceph.com
Myth or fact
Scalability???
http://www.ceph.com
Myth or fact
Scalability???
http://www.ceph.com
Myth or fact
Scalability???
http://www.ceph.com
Myth or fact
Scalability???
http://www.ceph.com
Myth or fact
Scalability???
http://www.ceph.com
Myth or fact
The architecture is inherently scalable without any theoretical boundaries
Ceph & OpenStack
Ceph & OpenStack
Integration
Image by RedHat
Ceph & OpenStack
Features (Some cool)
Copy-on-write snapshots (RBD)
KRBD for BARE (RBD)
Tiering (Ceph Pools)
Leaf configuration
Ceilometer integration for RGW
Multi-attach for RBD (Cinder)
Ceph & OpenStack
Features (Some cool)
Import/export snapshots and RBD (Cinder)
Differential backup orchestration (Cinder)
Deep flatten (RBD Snap)
RBD mirroring integration (Jewel)
CephFS with Ganesha NFS -> Manila (Jewel)
DevStack Ceph (From Kilo)
Q & A
THANK YOU
http://headup.ws
# locate
khyron
@alsotoes
CephersMX
StackersMX
alsotoes@gmail.com
asoto@kionetworks.com
Storage backend de facto???
Myth or fact
Ceph & OpenStack
Features (Some cool)
ceph-deploy disk zap vm04:vdb
ceph-deploy osd create --dmcrypt vm04:vdb
ceph osd getcrushmap -o crushmap.compiled
crushtool -d crushmap.compiled -o crushmap.decompiled
host vm04-encr {
id -7 # do not change unnecessarily
# weight 0.080
alg straw
hash 0 # rjenkins1
item osd.5 weight 0.040
}
root encrypted {
id -8 # do not change unnecessarily
# weight 0.120
alg straw
hash 0 # rjenkins1
item vm02-encr weight 0.040
item vm03-encr weight 0.040
item vm04-encr weight 0.040
}
rule encrypted_ruleset {
ruleset 1
type replicated
min_size 1
max_size 10
step take encrypted
step chooseleaf firstn 0 type host
step emit
}
ceph osd pool create encrypted 128
ceph osd pool set encrypted crush_ruleset 1

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Ceph, storage cluster to go exabyte and beyond

Editor's Notes

  1. Unified, distributed, replicated open source storage solution Software defined storage
  2. PAXOS
  3. The block device is supported in virtualization platforms, including Apache CloudStack, OpenStack, OpenNebula, Ganeti, and Proxmox Virtual Environment. These integrations allow administrators to use Ceph's block device as the storage for their virtual machines in these environments.
  4. CRUSH ->Algoritmo determinista, ante las mismas entradas da la misma salida. OSD ->object storage devices
  5. There are many considerations and best practices when deploying a Ceph/RADOS cluster which can enhance performance and stability. Many of those, such as kernel optimizations, network stack optimizations, choice of hardware and Ceph tuning parameters
  6. Confiabilidad!!!! RADOS, a Reliable, Autonomic Distributed Object Store that seeks to leverage device intelligence to distribute the complexity surrounding consistent data access, redundant storage, failure detection, and failure recovery in clusters consisting of many thousands of storage devices.
  7. RADOS, a Reliable, Autonomic Distributed Object Store that seeks to leverage device intelligence to distribute the complexity surrounding consistent data access, redundant storage, failure detection, and failure recovery in clusters consisting of many thousands of storage devices.
  8. RADOS, a Reliable, Autonomic Distributed Object Store that seeks to leverage device intelligence to distribute the complexity surrounding consistent data access, redundant storage, failure detection, and failure recovery in clusters consisting of many thousands of storage devices.
  9. RADOS, a Reliable, Autonomic Distributed Object Store that seeks to leverage device intelligence to distribute the complexity surrounding consistent data access, redundant storage, failure detection, and failure recovery in clusters consisting of many thousands of storage devices.
  10. RADOS, a Reliable, Autonomic Distributed Object Store that seeks to leverage device intelligence to distribute the complexity surrounding consistent data access, redundant storage, failure detection, and failure recovery in clusters consisting of many thousands of storage devices.
  11. RADOS, a Reliable, Autonomic Distributed Object Store that seeks to leverage device intelligence to distribute the complexity surrounding consistent data access, redundant storage, failure detection, and failure recovery in clusters consisting of many thousands of storage devices.
  12. RADOS, a Reliable, Autonomic Distributed Object Store that seeks to leverage device intelligence to distribute the complexity surrounding consistent data access, redundant storage, failure detection, and failure recovery in clusters consisting of many thousands of storage devices.
  13. RADOS, a Reliable, Autonomic Distributed Object Store that seeks to leverage device intelligence to distribute the complexity surrounding consistent data access, redundant storage, failure detection, and failure recovery in clusters consisting of many thousands of storage devices.
  14. qemu-guest-agent fsfreeze for consistent snapshots and backups glance option quiesce = true Multi-attach for RBD / Liberty, infernalis
  15. RBD mirroring, async Cinder backup, case use: 1 openstack, 2 ceph clusters