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Building a petabyte-scale storage
system based on free software
martin palma / infrastructure engineer / eurac research
Setting some context
What we want…
What we want…
scalability
What we want…
scalability
reliability
What we want…
scalability
economically
reliability
What we want…
scalability
economically
reliability
persistence
What we want…
scalability
economically
reliability
persistence
performance
So, what to choose?
a unified, distributed storage system designed for excellent
performance, reliability and scalability.
• Created by Sage Weil for his PHD dissertation at the University of California, Santa Cruz in
2007
• From fall 2007 he worked full-time on Ceph at Dreamhost (he is one of the co-founder of
Dreamhost)
• In 2012 founded Inktank Storage for professional services and support of Ceph
• First release Argonaut on July 2, 2012
• April 2014 Red Hat purchased Inktank
• October 2015 the Ceph Community Advisory Board was formed. (Canonical, CERN, Cisco,
Fujitsu, Intel, Red Hat, SanDisk, and SUSE.)
• November 2018 The Ceph Foundation (funded under the Linux Foundation)
• Until now 13 releases (Mimic is the latest)
Principles…
• All components must scale horizontally
• There can be no single point of failure
• The solution must be hardware agnostic
• Should use commodity hardware
• Self-Managed whenever possible
• Open Source (LGPL)
RGW
A web services
gateway for object
storage, compatible
with S3 and Swift
LIBRADOS
A library allowing apps to directly access RADOS (C, C++, Java, Python, Ruby, PHP)
RADOS
A software-based, reliable, autonomous, distributed object store comprised of
self-healing, self-managing, intelligent storage nodes and lightweight monitors
RBD
A reliable, fully-
distributed block
device with cloud
platform integration
CEPHFS
A distributed >le
system with POSIX
semantics and scale-
out metadata
management
APP HOST/VM CLIENT
• Maintain cluster membership and state
• Provide consensus for distributed decision-making
• Small and odd number
• Not part of the data path
• Storing and serving data to clients
• On per disk (HDD, SSD, NVMe)
• 10s to 1000s in a cluster
• Intelligently peer for replication & recovery
Monitors
Object Storage Daemon (OSD)
CRUSH Controlled, Scalable, Decentralized Placement of Replicated Data
Pseudo-random placement algorithm
• Fast calculation, no lookup
• Repeatable, deterministic
Statistically uniform distribution
Rule-base configuration
• Infrastructure topology aware (CRUSH map)
• Adjustable replication
• Weighted devices (different sizes)
Data Placement
Why Ceph?
Why Ceph?
scalability
economically
reliability
persistence
performance
Why Ceph?
scalability
economically
reliability
persistence
performance
Why Ceph?
scalability
economically
reliability
persistence
performance
Why Ceph?
scalability
economically
reliability
persistence
performance
Why Ceph?
scalability
economically
reliability
persistence
performance
Why Ceph and not X?
scalability
economically
reliability
persistence
performance
Our current implementation
• 39 Storage nodes (12 * 4 TB SATA, 4 * 400 GB SSD)
• 546 Object Storage Daemon
• 5 Monitor nodes
• 2 Metadata nodes
• Dedicated public and cluster network
• Storage nodes with 2 x 10 Gbit/s for public & 2 x 40 Gbit/s for cluster connectivity
• Monitor & Metadata have 2 x 10 Gbit/s public connectivity
• Hardware: Supermicro, Mellanox
• OS: CentOS 7.4
• Ceph version: Luminous 12.2.4
• Mainly CephFS and RBD used
• Integrated into internal Kubernetes and LXD infrastructure
• Started in 2014 with Hammer LTS
• Done 3 major version upgrades (Hammer -> Jewel -> Luminous)
• Scaled from initial 600 TB to 1,7 PB
• Raw used: ~1 PB
• Usage:
RBD
23%
CephFS
77%
Challenges
Challenges
experience
Challenges
experience
operation
Challenges
documentation
operation
experience
Challenges
experience
backup
operation
documentation
Conclusion
Thank you
Building a petabyte-scale storage system based on free
software
Martin Palma
Eurac Research
martin.palma@eurac.ed
http://www.eurac.edu

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