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How we scaled git lab for a 30k employee company

Minqi Pan
Minqi Pan

GitLab, the open source alternative to GitHub written in Rails, does not scale automatically out of the box, as it stores its git repositories on a single filesystem, making storage capabilities hard to expand. Rather than attaching a NAS server, we decided to use a cloud-based object storage (such as S3) to replace the FS. This introduced changes to both the Ruby layer and the deeper C layers. In this talk, we will show the audience how we did the change and overcame the performance loss introduced by network I/O.

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How we scaled GitLab for a 30k-employee company Minqi Pan
Hello, I’m Minqi Pan github.com/pmq20 twitter @psvr
What’s GitLab?
GitLab a git-box
 installed on-premises
GitLab HTTP 80/443 SSH 22
GitLab HTTP 80/443 SSH 22
GitLab RedisMySQL File System
What’s inside? GitLab
NGINX OpenSSH Server Unicorn gitlab-shellGitlab Workhorse git gitlab_gitrails sidekiq rugged libgit2
Works great for small teams
However
to make it easy to do business anywhere
Let’s scale it!
GitLab HTTP 80/443 SSH 22
HTTP 80/443 SSH 22 unicorn unicorn unicorn …
HTTP 80/443 SSH 22 unicorn unicorn unicorn … nginx ?
HTTP 80/443 SSH 22 unicorn unicorn unicorn … nginx ssh2http https://github.com/pmq20/ssh2http
unicorn unicorn unicorn … LVS (IPVS) HTTP 80/443 SSH 22
Linux Virtual Server
 (IP Virtual Server) • transport-layer load balancing inside kernel • layer-4 switching, unlike nginx (layer-7) • can: IP weighting, IP blocking, health checking • can’t: HTTP 200 Health Checking, URL rewriting
Complications • SSH Host Key Synchronisation: do it once • SSH Client Key Synchronisation: do it every time • synchronised via redis pub-sub
Does it scale in the backend?
IV. Backing services Treat backing services as attached resources
How we scaled git lab for a 30k employee company
🤔 Redis 🤔 MySQL 🤔 File System GitLab * git repositories * user generated attachments / avatars
How we scaled git lab for a 30k employee company
GitLab Geo • introduced in GitLab 8.5 EE • 1 Master N Slave Replication • achieves A-P in C-A-P theorem • no disaster recovery • no sharing
HTTP 80/443 SSH 22 nginx ssh2http routing via key namespace/repo_name GitLab shard FS shard GitLab shard FS shard GitLab shard FS shard
GitLab Sharding • Introduces Sidekiq sharing as well • Introduces many changes to the application layer as well
 - need to have super user authentication
 - need to eliminate every page with requests across shards (e.g. admin page of repo sizes) • Tedious changes on the application level.
How to deal with FS? • 🤔 Hardware Network-Attached Storage? • 🤔 Software Network-Attached Storage? • 🤔 Remote Procedure Calls to FS shards? • 🤔 Kill it?
• Hard-NAS: Alibaba has non-IOE policies. • Soft-NAS: Alibaba does not have it yet. • RPC: GitRPC? Good. GitHub does that. • Kill FS: Use the cloud. Try something new!
by “cloud” we mean… • Amazon S3: Amazon Simple Storage Service • Alibaba OSS: Alibaba Object Storage Service
libgit2 git grit • used in wiki’s • via gollum-lib • via gollum-grit_adapter • eliminate-able via
 gollum-rugged_adapter gitlab-rails
gitlab-rails libgit2 git • via gitlab_git • via rugged • backend
 replace-able • via gitlab-shell • via gitlab-workhorse • via popen • backend
 hard-to-replace (FS) grit
Basic Idea
gitlab-workhorsegitlab-rails gitlab-shell git libgit2 Cloud Based Backend 
 
 grit
Cloud Based Backend
odb’s refdb • stored via OSS • locked via redis hi-priority lo-priority loose OSS store packed OSS store
OSS refdb (read)
OSS refdb (write)
loose OSS store (write)
loose OSS store (read)
packed OSS store (write)
packed OSS store (read) via HTTP “Range” header
packed OSS store (read)
Example • First byte of the name is 0x9f • IDX[8 + (0x9f - 1) * 4] == 0x0403 == 1027 • IDX[8 + 0x9f * 4] == 0x0403 == 1029 • Object No. 1027 ~ 1029 Read 9fcf811e00fa469688943a9152c16d4ee90fb9a9
Example • Binary search 1027 ~ 1029 • Found at 8 + 4 * 256 + 1027 * 20 == 21572 • Skip the rest total_num*(20+4) == 1628*24 Read 9fcf811e00fa469688943a9152c16d4ee90fb9a9
Example • IDX[8 + 4 * 256 + 1628*24 + 4 * 1027] Read 9fcf811e00fa469688943a9152c16d4ee90fb9a9 • PACK[0x0004482D] == PACK[280621]
Example Read 9fcf811e00fa469688943a9152c16d4ee90fb9a9 E3 11100011 1_______ => MSB 1 continue _110____ => type == 6 == OFS_DELTA ____0011 => length == 3 3-bit type, (n-1)*7+4-bit length
Example Read 9fcf811e00fa469688943a9152c16d4ee90fb9a9 • PACK[0x0004482D] 01 00000001 0_______ => MSB 0 break _0000001 => length += (1 << 4) final length == 19
Example Read 9fcf811e00fa469688943a9152c16d4ee90fb9a9 • PACK[0x0004482D] AA 10101010 1_______ MSB 1 continue _0101010 base offset == 42
Example Read 9fcf811e00fa469688943a9152c16d4ee90fb9a9 • PACK[0x0004482D] 44 01000100 0_______ MSB 0 break _1000100 offset == ((42+1)<<7)+68 == 5572
Example Read 9fcf811e00fa469688943a9152c16d4ee90fb9a9 offset == 5572 push 0x0004482D into stack deal with (0x0004482D - 5572) push (0x0004482D - 5572) into stack … root base
Example SHA1 type size size-pack offset- pack depth base 9fcf811e00fa469 688943a9152c16d 4ee90fb9a9 blob 19 32 280621 4 6110c89446f2281 e5db9b798a0fa02 0fad6e63e1 6110c89446f2281 e5db9b798a0fa02 0fad6e63e1 blob 52 45 275049 3 3bbeff3fc22b75c 1a26f4ab9b64449 b33002aea5 3bbeff3fc22b75c 1a26f4ab9b64449 b33002aea5 blob 2935 1263 273786 2 a39920830904665 6ecc01f7653c5d5 b8905fc16e a39920830904665 6ecc01f7653c5d5 b8905fc16e blob 4686 1540 272246 1 e4e56117de8b3bd 0bd899701da4712 caee27c7d6 e4e56117de8b3bd 0bd899701da4712 caee27c7d6 blob 12635 3279 115703 0 -
git → libgit2
git fetch / clone • git upload-pack --advertise-refs
 (rewritten via libgit2) • git upload-pack
 (untouched) • git pack-objects
 (rewritten via libgit2 pack builder)
git push (small data) • git upload-pack --advertise-refs
 (rewritten via libgit2) • git upload-pack
 (untouched) • ntohl(hdr.hdr_entries) < unpack_limit • git unpack-objects
 (modified via libgit2, writing to loose OSS store)
git push (big data) • git upload-pack --advertise-refs
 (rewritten via libgit2) • git upload-pack
 (untouched) • ntohl(hdr.hdr_entries) >= unpack_limit • git index-pack
 (modified via libgit2, writing to packed OSS store)
Naked Benchmark
 (no cache)
Fixture • Repository: gitlab-ce • https://gitlab.com/gitlab-org/gitlab-ce.git • More than 200k objects • More than 100MB when packed
git push • FS-based:
 6.27s user 1.72s system 14% cpu 53.299 total • Cloud-based:
 6.13s user 1.29s system 13% cpu 54.697 total
git push (delta) • FS-based:
 0.09s user 0.07s system 5% cpu 3.059 total • Cloud-based:
 0.04s user 0.05s system 3% cpu 2.845 total
git clone • FS-based:
 6.89s user 8.99s system 33% cpu 47.096 total • Cloud-based:
 7.08s user 8.12s system 20% cpu 1:14.12 total
git fetch (delta) • FS-based:
 0.14s user 0.13s system 33% cpu 0.806 total • Cloud-based:
 0.09s user 0.10s system 1% cpu 16.019 total
GET /namespace/repo/tree/ master • FS-based:
 Executing action: show - 74.5 ms • Cloud-based:
 Executing action: show - 5877.7 ms
GET /namespace/repo/tree/ master/builds • FS-based:
 Executing action: show - 50.0 ms • Cloud-based:
 Executing action: show - 4547.0 ms
Cache
odb hamburger refdb • cached via redishi-priority lo-priority loose OSS store packed OSS store loose FS cache packed FS cache
loose FS cache • cache written when
 ntohl(hdr.hdr_entries) < unpack_limit
 in git-unpack-objects • when reading via loose OSS store
packed FS cache • cache written when
 ntohl(hdr.hdr_entries) >= unpack_limit
 in git-index-pack • cache written in git-pack-objects
redis refdb cache • cache written when read and cache-miss • cache expired when refdb got updated
 e.g. git-receive-pack
Future Work
• develop libgit2 backends for AWS S3 • gitlab: favour libgit2, eliminate direct calls to git • gitlab: add settings to choose backends • gollum: use rugged as the default • libgit2: improve performance, e.g. pack builder
https://github.com/pmq20
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