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Beyond the File System - Designing Large Scale File Storage and Serving - Presentation Transcript

  1. Beyond the File System Designing Large Scale File Storage and Serving Cal Henderson
  2. Hello! Web Builder 2.0 2
  3. Big file systems? • Too vague! • What is a file system? • What constitutes big? • Some requirements would be nice Web Builder 2.0 3
  4. 1 Scalable Looking at storage and serving infrastructures Web Builder 2.0 4
  5. 2 Reliable Looking at redundancy, failure rates, on the fly changes Web Builder 2.0 5
  6. 3 Cheap Looking at upfront costs, TCO and lifetimes Web Builder 2.0 6
  7. Four buckets Storage Serving BCP Cost Web Builder 2.0 7
  8. Storage Web Builder 2.0 8
  9. The storage stack File protocol NFS, CIFS, SMB File system ext, reiserFS, NTFS Block protocol SCSI, SATA, FC RAID Mirrors, Stripes Hardware Disks and stuff Web Builder 2.0 9
  10. Hardware overview The storage scale Lower Higher Internal DAS SAN NAS Web Builder 2.0 10
  11. Internal storage • A disk in a computer – SCSI, IDE, SATA • 4 disks in 1U is common • 8 for half depth boxes Web Builder 2.0 11
  12. DAS Direct attached storage Disk shelf, connected by SCSI/SATA HP MSA30 – 14 disks in 3U Web Builder 2.0 12
  13. SAN • Storage Area Network • Dumb disk shelves • Clients connect via a ‘fabric’ • Fibre Channel, iSCSI, Infiniband – Low level protocols Web Builder 2.0 13
  14. NAS • Network Attached Storage • Intelligent disk shelf • Clients connect via a network • NFS, SMB, CIFS – High level protocols Web Builder 2.0 14
  15. Of course, it’s more confusing than that Web Builder 2.0 15
  16. Meet the LUN • Logical Unit Number • A slice of storage space • Originally for addressing a single drive: – c1t2d3 – Controller, Target, Disk (Slice) • Now means a virtual partition/volume – LVM, Logical Volume Management Web Builder 2.0 16
  17. NAS vs SAN With SAN, a single host (initiator) owns a single LUN/volume With NAS, multiple hosts own a single LUN/volume NAS head – NAS access to a SAN Web Builder 2.0 17
  18. SAN Advantages Virtualization within a SAN offers some nice features: • Real-time LUN replication • Transparent backup • SAN booting for host replacement Web Builder 2.0 18
  19. Some Practical Examples • There are a lot of vendors • Configurations vary • Prices vary wildly • Let’s look at a couple – Ones I happen to have experience with – Not an endorsement ;) Web Builder 2.0 19
  20. NetApp Filers Heads and shelves, up to 500TB in 260U FC SAN with 1 or 2 NAS heads Web Builder 2.0 20
  21. Isilon IQ • 2U Nodes, 3-96 nodes/cluster, 6-600 TB • FC/InfiniBand SAN with NAS head on each node Web Builder 2.0 21
  22. Scaling Vertical vs Horizontal Web Builder 2.0 22
  23. Vertical scaling • Get a bigger box • Bigger disk(s) • More disks • Limited by current tech – size of each disk and total number in appliance Web Builder 2.0 23
  24. Horizontal scaling • Buy more boxes • Add more servers/appliances • Scales forever* *sort of Web Builder 2.0 24
  25. Storage scaling approaches • Four common models: • Huge FS • Physical nodes • Virtual nodes • Chunked space Web Builder 2.0 25
  26. Huge FS • Create one giant volume with growing space – Sun’s ZFS – Isilon IQ • Expandable on-the-fly? • Upper limits – Always limited somewhere Web Builder 2.0 26
  27. Huge FS • Pluses – Simple from the application side – Logically simple – Low administrative overhead • Minuses – All your eggs in one basket – Hard to expand – Has an upper limit Web Builder 2.0 27
  28. Physical nodes • Application handles distribution to multiple physical nodes – Disks, Boxes, Appliances, whatever • One ‘volume’ per node • Each node acts by itself • Expandable on-the-fly – add more nodes • Scales forever Web Builder 2.0 28
  29. Physical Nodes • Pluses – Limitless expansion – Easy to expand – Unlikely to all fail at once • Minuses – Many ‘mounts’ to manage – More administration Web Builder 2.0 29
  30. Virtual nodes • Application handles distribution to multiple virtual volumes, contained on multiple physical nodes • Multiple volumes per node • Flexible • Expandable on-the-fly – add more nodes • Scales forever Web Builder 2.0 30
  31. Virtual Nodes • Pluses – Limitless expansion – Easy to expand – Unlikely to all fail at once – Addressing is logical, not physical – Flexible volume sizing, consolidation • Minuses – Many ‘mounts’ to manage – More administration Web Builder 2.0 31
  32. Chunked space • Storage layer writes parts of files to different physical nodes • A higher-level RAID striping • High performance for large files – read multiple parts simultaneously Web Builder 2.0 32
  33. Chunked space • Pluses – High performance – Limitless size • Minuses – Conceptually complex – Can be hard to expand on the fly – Can’t manually poke it Web Builder 2.0 33
  34. Real Life Case Studies Web Builder 2.0 34
  35. GFS – Google File System • Developed by … Google • Proprietary • Everything we know about it is based on talks they’ve given • Designed to store huge files for fast access Web Builder 2.0 35
  36. GFS – Google File System • Single ‘Master’ node holds metadata – SPF – Shadow master allows warm swap • Grid of ‘chunkservers’ – 64bit filenames – 64 MB file chunks Web Builder 2.0 36
  37. GFS – Google File System Master 1(a) 2(a) 1(b) Web Builder 2.0 37
  38. GFS – Google File System • Client reads metadata from master then file parts from multiple chunkservers • Designed for big files (>100MB) • Master server allocates access leases • Replication is automatic and self repairing – Synchronously for atomicity Web Builder 2.0 38
  39. GFS – Google File System • Reading is fast (parallelizable) – But requires a lease • Master server is required for all reads and writes Web Builder 2.0 39
  40. MogileFS – OMG Files • Developed by Danga / SixApart • Open source • Designed for scalable web app storage Web Builder 2.0 40
  41. MogileFS – OMG Files • Single metadata store (MySQL) – MySQL Cluster avoids SPF • Multiple ‘tracker’ nodes locate files • Multiple ‘storage’ nodes store files Web Builder 2.0 41
  42. MogileFS – OMG Files Tracker MySQL Tracker Web Builder 2.0 42
  43. MogileFS – OMG Files • Replication of file ‘classes’ happens transparently • Storage nodes are not mirrored – replication is piecemeal • Reading and writing go through trackers, but are performed directly upon storage nodes Web Builder 2.0 43
  44. Flickr File System • Developed by Flickr • Proprietary • Designed for very large scalable web app storage Web Builder 2.0 44
  45. Flickr File System • No metadata store – Deal with it yourself • Multiple ‘StorageMaster’ nodes • Multiple storage nodes with virtual volumes Web Builder 2.0 45
  46. Flickr File System SM SM SM Web Builder 2.0 46
  47. Flickr File System • Metadata stored by app – Just a virtual volume number – App chooses a path • Virtual nodes are mirrored – Locally and remotely • Reading is done directly from nodes Web Builder 2.0 47
  48. Flickr File System • StorageMaster nodes only used for write operations • Reading and writing can scale separately Web Builder 2.0 48
  49. Serving Web Builder 2.0 49
  50. Serving files Serving files is easy! Disk Apache Web Builder 2.0 50
  51. Serving files Scaling is harder Disk Apache Disk Apache Disk Apache Web Builder 2.0 51
  52. Serving files • This doesn’t scale well • Primary storage is expensive – And takes a lot of space • In many systems, we only access a small number of files most of the time Web Builder 2.0 52
  53. Caching • Insert caches between the storage and serving nodes • Cache frequently accessed content to reduce reads on the storage nodes • Software (Squid, mod_cache) • Hardware (Netcache, Cacheflow) Web Builder 2.0 53
  54. Why it works • Keep a smaller working set • Use faster hardware – Lots of RAM – SCSI – Outer edge of disks (ZCAV) • Use more duplicates – Cheaper, since they’re smaller Web Builder 2.0 54
  55. Two models • Layer 4 – ‘Simple’ balanced cache – Objects in multiple caches – Good for few objects requested many times • Layer 7 – URL balances cache – Objects in a single cache – Good for many objects requested a few times Web Builder 2.0 55
  56. Replacement policies • LRU – Least recently used • GDSF – Greedy dual size frequency • LFUDA – Least frequently used with dynamic aging • All have advantages and disadvantages • Performance varies greatly with each Web Builder 2.0 56
  57. Cache Churn • How long do objects typically stay in cache? • If it gets too short, we’re doing badly – But it depends on your traffic profile • Make the cached object store larger Web Builder 2.0 57
  58. Problems • Caching has some problems: – Invalidation is hard – Replacement is dumb (even LFUDA) • Avoiding caching makes your life (somewhat) easier Web Builder 2.0 58
  59. CDN – Content Delivery Network • Akamai, Savvis, Mirror Image Internet, etc • Caches operated by other people – Already in-place – In lots of places • GSLB/DNS balancing Web Builder 2.0 59
  60. Edge networks Origin Web Builder 2.0 60
  61. Edge networks Cache Cache Cache Origin Cache Cache Cache Cache Cache Web Builder 2.0 61
  62. CDN Models • Simple model – You push content to them, they serve it • Reverse proxy model – You publish content on an origin, they proxy and cache it Web Builder 2.0 62
  63. CDN Invalidation • You don’t control the caches – Just like those awful ISP ones • Once something is cached by a CDN, assume it can never change – Nothing can be deleted – Nothing can be modified Web Builder 2.0 63
  64. Versioning • When you start to cache things, you need to care about versioning – Invalidation & Expiry – Naming & Sync Web Builder 2.0 64
  65. Cache Invalidation • If you control the caches, invalidation is possible • But remember ISP and client caches • Remove deleted content explicitly – Avoid users finding old content – Save cache space Web Builder 2.0 65
  66. Cache versioning • Simple rule of thumb: – If an item is modified, change its name (URL) • This can be independent of the file system! Web Builder 2.0 66
  67. Virtual versioning • Database indicates version 3 of file Version 3 • Web app writes version number into URL example.com/foo_3.jpg • Request comes through Cached: foo_3.jpg cache and is cached with the versioned URL foo_3.jpg -> foo.jpg • mod_rewrite converts versioned URL to path Web Builder 2.0 67
  68. Authentication • Authentication inline layer – Apache / perlbal • Authentication sideline – ICP (CARP/HTCP) • Authentication by URL – FlickrFS Web Builder 2.0 68
  69. Auth layer • Authenticator sits between client and Authenticator storage • Typically built into the Cache cache software Origin Web Builder 2.0 69
  70. Auth sideline Cache Origin Authenticator • Authenticator sits beside the cache • Lightweight protocol used for authenticator Web Builder 2.0 70
  71. Auth by URL Web Server Cache Origin • Someone else performs authentication and gives URLs to client (typically the web app) • URLs hold the ‘keys’ for accessing files Web Builder 2.0 71
  72. BCP Web Builder 2.0 72
  73. Business Continuity Planning • How can I deal with the unexpected? – The core of BCP • Redundancy • Replication Web Builder 2.0 73
  74. Reality • On a long enough timescale, anything that can fail, will fail • Of course, everything can fail • True reliability comes only through redundancy Web Builder 2.0 74
  75. Reality • Define your own SLAs • How long can you afford to be down? • How manual is the recovery process? • How far can you roll back? • How many node x boxes can fail at once? Web Builder 2.0 75
  76. Failure scenarios • Disk failure • Storage array failure • Storage head failure • Fabric failure • Metadata node failure • Power outage • Routing outage Web Builder 2.0 76
  77. Reliable by design • RAID avoids disk failures, but not head or fabric failures • Duplicated nodes avoid host and fabric failures, but not routing or power failures • Dual-colo avoids routing and power failures, but my need duplication too Web Builder 2.0 77
  78. Tend to all points in the stack • Going dual-colo: great • Taking a whole colo offline because of a single failed disk: bad • We need a combination of these Web Builder 2.0 78
  79. Recovery times • BCP is not just about continuing when things fail • How can we restore after they come back? • Host and colo level syncing – replication queuing • Host and colo level rebuilding Web Builder 2.0 79
  80. Reliable Reads & Writes • Reliable reads are easy – 2 or more copies of files • Reliable writes are harder – Write 2 copies at once – But what do we do when we can’t write to one? Web Builder 2.0 80
  81. Dual writes • Queue up data to be written – Where? – Needs itself to be reliable • Queue up journal of changes – And then read data from the disk whose write succeeded • Duplicate whole volume after failure – Slow! Web Builder 2.0 81
  82. Cost Web Builder 2.0 82
  83. Judging cost • Per GB? • Per GB upfront and per year • Not as simple as you’d hope – How about an example Web Builder 2.0 83
  84. Hardware costs Single Cost Cost of hardware Usable GB Web Builder 2.0 84
  85. Power costs Recurring Cost Cost of power per year Usable GB Web Builder 2.0 85
  86. Power costs Single Cost Power installation cost Usable GB Web Builder 2.0 86
  87. Space costs Recurring Cost ] [ Cost per U x U’s needed (inc network) Usable GB Web Builder 2.0 87
  88. Network costs Single Cost Cost of network gear Usable GB Web Builder 2.0 88
  89. Misc costs Single & Recurring Costs ] [ Support contracts + spare disks + bus adaptors + cables Usable GB Web Builder 2.0 89
  90. Human costs Recurring Cost ] [ Admin cost per node x Node count Usable GB Web Builder 2.0 90
  91. TCO • Total cost of ownership in two parts – Upfront – Ongoing • Architecture plays a huge part in costing – Don’t get tied to hardware – Allow heterogeneity – Move with the market Web Builder 2.0 91
  92. (fin)
  93. Photo credits • flickr.com/photos/ebright/260823954/ • flickr.com/photos/thomashawk/243477905 / • flickr.com/photos/tom-carden/116315962/ • flickr.com/photos/sillydog/287354869/ • flickr.com/photos/foreversouls/131972916/ • flickr.com/photos/julianb/324897/ • flickr.com/photos/primejunta/140957047/ • flickr.com/photos/whatknot/28973703/ • flickr.com/photos/dcjohn/85504455/ Web Builder 2.0 93
  94. You can find these slides online: iamcal.com/talks/ Web Builder 2.0 94

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