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Signed-off-by: John Wilkins <john.wilkins@inktank.com>
182 lines
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182 lines
12 KiB
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==========================
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Hardware Recommendations
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==========================
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Ceph was designed to run on commodity hardware, which makes building and
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maintaining petabyte-scale data clusters economically feasible.
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When planning out your cluster hardware, you will need to balance a number
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of considerations, including failure domains and potential performance
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issues. Hardware planning should include distributing Ceph daemons and
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other processes that use Ceph across many hosts. Generally, we recommend
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running Ceph daemons of a specific type on a host configured for that type
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of daemon. We recommend using other hosts for processes that utilize your
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data cluster (e.g., OpenStack, CloudStack, etc).
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- **CPU**: Ceph metadata servers dynamically redistribute their load, which is
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CPU intensive. So your metadata servers should have significant processing power
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(e.g., quad core or better CPUs). Ceph OSDs run the RADOS service, calculate
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data placement with CRUSH, replicate data, and maintain their own copy of the
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cluster map. Therefore, OSDs should have a reasonable amount of processing power
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(e.g., dual-core processors). Monitors simply maintain a master copy of the
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cluster map, so they are not CPU intensive. You must also consider whether the
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host machine will run CPU-intensive processes in addition to Ceph daemons. For
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example, if your hosts will run computing VMs (e.g., OpenStack Nova), you will
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need to ensure that these other processes leave sufficient processing power for
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Ceph daemons. We recommend running additional CPU-intensive processes on
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separate hosts.
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- **RAM**: Metadata servers and monitors must be capable of serving their data
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quickly, so they should have plenty of RAM (e.g., 1GB of RAM per daemon
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instance). OSDs do not require as much RAM (e.g., 500MB of RAM per daemon
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instance). Generally, more RAM is better.
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- **Data Storage**: Plan your data storage configuration carefully, because
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there are significant opportunities for performance improvement by incurring
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the added cost of using solid state drives, and there are significant
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cost-per-gigabyte considerations with hard disk drives. Metadata servers and monitors
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don't use a lot of storage space. A metadata server requires approximately 1MB
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of storage space per daemon instance. A monitor requires approximately 10GB of
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storage space per daemon instance. One opportunity for performance improvement
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is to use solid-state drives to reduce random access time and read latency while
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accelerating throughput. Solid state drives cost more than 10x as much per
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gigabyte when compared to a hard disk, but they often exhibit access times that
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are at least 100x faster than a hard disk drive. Since the storage requirements for
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metadata servers and monitors are so low, solid state drives may provide an
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economical opportunity to improve performance. OSDs should have plenty of disk
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space. We recommend a minimum disk size of 1 terabyte. We recommend dividing the
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price of the hard disk drive by the number of gigabytes to arrive at a cost per
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gigabyte, because larger drives may have a significant impact on the
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cost-per-gigabyte. For example, a 1 terabyte hard disk priced at $75.00 has a cost
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of $0.07 per gigabyte (i.e., $75 / 1024 = 0.0732). By contrast, a 3 terabyte hard
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disk priced at $150.00 has a cost of $0.05 per gigabyte (i.e., $150 / 3072 = 0.0488).
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In the foregoing example, using the 1 terabyte disks would generally increase the cost
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per gigabyte by 40%--rendering your cluster substantially less cost efficient.
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For OSD hosts, we recommend using an OS disk for the operating
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system and software, and one disk for each OSD daemon you run on the host. While
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solid state drives are cost prohibitive for object storage, OSDs may see a
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performance improvement by storing an OSD's journal on a solid state drive and
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the OSD's object data on a hard disk drive. You may run multiple OSDs per host,
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but you should ensure that the sum of the total throughput of your OSD hard
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disks doesn't exceed the network bandwidth required to service a client's need
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to read or write data. You should also consider what percentage of the cluster's
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data storage is on each host. If the percentage is large and the host fails, it
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can lead to problems such as exceeding the ``full ratio``, which causes Ceph to
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halt operations as a safety precaution that prevents data loss.
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- **Networks**: We recommend that each host have at least two 1Gbps network interface
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controllers (NICs). Since most commodity hard disk drives have a throughput of
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approximately 100MB/sec., your NICs should be able to handle the traffic for
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the OSD disks on your host. We recommend a minimum of two NICs to account for a
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public (front-side) network and a cluster (back-side) network. A cluster network
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(preferably not connected to the internet) handles the additional load for data
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replication and helps stop denial of service attacks that prevent the cluster
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from achieving ``active + clean`` states for placement groups as OSDs replicate
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data across the cluster. Consider starting with a 10Gbps network in your racks.
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Replicating 1TB of data across a 1Gbps network takes 3 hours, and 3TBs (a typical
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drive configuration) takes 9 hours. By contrast, with a 10Gbps network, the
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replication times would be 20 minutes and 1 hour respectively. In a petabyte-scale
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cluster, failure of an OSD disk should be an expectation, not an exception.
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System administrators will appreciate PGs recovering from a ``degraded`` state
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to an ``active + clean`` state as rapidly as possible, with price / performance
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tradeoffs taken into consideration. Top-of-rack routers for each network need to
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be able to communicate with spine routers that have even faster throughput--e.g.,
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40Gbps to 100Gbps. Some experts suggest using a third NIC per host for a management
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network (e.g., hypervisor SSH access, VM image uploads, management sockets, etc.),
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and potentially a fourth NIC per host to handle VM traffic between between the cluster
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and compute stacks (e.g., OpenStack, CloudStack, etc.). Running three or four
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logical networks may seem like overkill, but each traffic path represents a
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potential capacity, throughput and/or performance bottleneck that you should
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carefully consider before deploying a large scale data cluster.
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- **Failure Domains**: A failure domain is any failure that prevents access
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to one or more OSDs. That could be a stopped daemon on a host; a hard disk failure,
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an OS crash, a malfunctioning NIC, a failed power supply, a network outage, a power
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outage, and so forth. When planning out your hardware needs, you must balance the
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temptation to reduce costs by placing too many responsibilities into too few failure
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domains, and the added costs of isolating every potential failure domain.
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`Inktank`_ provides excellent premium support for hardware planning.
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.. _Inktank: http://www.inktank.com
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Minimum Hardware Recommendations
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================================
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Ceph can run on inexpensive commodity hardware. Small production clusters
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and development clusters can run successfully with modest hardware.
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+--------------+----------------+------------------------------------+
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| Process | Criteria | Minimum Recommended |
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+==============+================+====================================+
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| ``ceph-osd`` | Processor | 1x 64-bit AMD-64/i386 dual-core |
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| +----------------+------------------------------------+
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| | RAM | 500 MB per daemon |
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| +----------------+------------------------------------+
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| | Volume Storage | 1x Disk per daemon |
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| +----------------+------------------------------------+
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| | Network | 2x 1GB Ethernet NICs |
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+--------------+----------------+------------------------------------+
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| ``ceph-mon`` | Processor | 1x 64-bit AMD-64/i386 |
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| +----------------+------------------------------------+
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| | RAM | 1 GB per daemon |
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| +----------------+------------------------------------+
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| | Disk Space | 10 GB per daemon |
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| +----------------+------------------------------------+
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| | Network | 2x 1GB Ethernet NICs |
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+--------------+----------------+------------------------------------+
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| ``ceph-mds`` | Processor | 1x 64-bit AMD-64/i386 quad-core |
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| +----------------+------------------------------------+
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| | RAM | 1 GB minimum per daemon |
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| +----------------+------------------------------------+
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| | Disk Space | 1 MB per daemon |
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| +----------------+------------------------------------+
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| | Network | 2x 1GB Ethernet NICs |
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+--------------+----------------+------------------------------------+
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.. important: If you are running an OSD with a single disk, create a
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partition for your volume storage that is separate from the partition
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containing the OS. Generally, we recommend separate disks for the
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OS and the volume storage.
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Production Cluster Example
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==========================
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Production clusters for petabyte scale data storage may also use commodity
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hardware, but should have considerably more memory, processing power and data
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storage to account for heavy traffic loads.
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A recent (2012) Ceph cluster project is using two fairly robust hardware
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configurations for Ceph OSDs, and a lighter configuration for monitors.
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+----------------+----------------+------------------------------------+
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| Configuration | Criteria | Minimum Recommended |
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+================+================+====================================+
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| Dell PE R510 | Processor | 2x 64-bit quad-core Xeon CPUs |
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| +----------------+------------------------------------+
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| | RAM | 16 GB |
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| +----------------+------------------------------------+
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| | Volume Storage | 8x 2TB drives. 1 OS, 7 Storage |
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| +----------------+------------------------------------+
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| | Client Network | 2x 1GB Ethernet NICs |
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| | OSD Network | 2x 1GB Ethernet NICs |
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| | NIC Mgmt. | 2x 1GB Ethernet NICs |
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+----------------+----------------+------------------------------------+
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| Dell PE R515 | Processor | 1x hex-core Opteron CPU |
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| | RAM | 16 GB |
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| | Volume Storage | 12x 3TB drives. Storage |
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| +----------------+------------------------------------+
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| | OS Storage | 1x 500GB drive. Operating System. |
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| | Client Network | 2x 1GB Ethernet NICs |
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| | OSD Network | 2x 1GB Ethernet NICs |
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| | NIC Mgmt. | 2x 1GB Ethernet NICs |
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+----------------+----------------+------------------------------------+
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