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Cleanup HA docs page 

Removes outdated sections and improves others to be clearer.
Also updates other page links and moves other sections
to their own pages as appropriate.
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doc/administration/gitaly/index.md
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......@@ -568,29 +568,6 @@ server with the following settings.
1. Save the file and [restart GitLab](../restart_gitlab.md#installations-from-source).
## Eliminating NFS altogether
If you are planning to use Gitaly without NFS for your storage needs
and want to eliminate NFS from your environment altogether, there are
a few things that you need to do:
1. Make sure the [`git` user home directory](https://docs.gitlab.com/omnibus/settings/configuration.html#moving-the-home-directory-for-a-user) is on local disk.
1. Configure [database lookup of SSH keys](../operations/fast_ssh_key_lookup.md)
to eliminate the need for a shared `authorized_keys` file.
1. Configure [object storage for job artifacts](../job_artifacts.md#using-object-storage)
including [incremental logging](../job_logs.md#new-incremental-logging-architecture).
1. Configure [object storage for LFS objects](../lfs/lfs_administration.md#storing-lfs-objects-in-remote-object-storage).
1. Configure [object storage for uploads](../uploads.md#using-object-storage-core-only).
1. Configure [object storage for merge request diffs](../merge_request_diffs.md#using-object-storage).
1. Configure [object storage for packages](../packages/index.md#using-object-storage) (optional feature).
1. Configure [object storage for dependency proxy](../packages/dependency_proxy.md#using-object-storage) (optional feature).
NOTE: **Note:**
One current feature of GitLab that still requires a shared directory (NFS) is
[GitLab Pages](../../user/project/pages/index.md).
There is [work in progress](https://gitlab.com/gitlab-org/gitlab-pages/issues/196)
to eliminate the need for NFS to support GitLab Pages.
## Limiting RPC concurrency
It can happen that CI clone traffic puts a large strain on your Gitaly
......
doc/administration/high_availability/README.md
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......@@ -4,210 +4,56 @@ type: reference, concepts
# Scaling and High Availability
GitLab supports a number of options for scaling your self-managed instance and configuring high availability (HA).
The solution you choose will be based on the level of scalability and
availability you require. The easiest solutions are scalable, but not necessarily
highly available.
GitLab provides a service that is essential to most organizations: it
enables people to collaborate on code in a timely fashion. Any downtime should
therefore be short and planned. Due to the distributed nature
of Git, developers can continue to commit code locally even when GitLab is not
available. However, some GitLab features such as the issue tracker and
continuous integration are not available when GitLab is down.
If you require all GitLab functionality to be highly available,
consider the options outlined below.
**Keep in mind that all highly-available solutions come with a trade-off between
cost/complexity and uptime**. The more uptime you want, the more complex the
solution. And the more complex the solution, the more work is involved in
setting up and maintaining it. High availability is not free and every HA
solution should balance the costs against the benefits.
There are many options when choosing a highly-available GitLab architecture. We
recommend engaging with GitLab Support to choose the best architecture for your
use case. This page contains recommendations based on
experience with GitLab.com and internal scale testing.
GitLab supports a number of options for larger self-managed instance setups that
are scalable and highly available. While either of these needs can be tackled
individually they typically go hand in hand - A performant scalable environment
will have availability by default as it's components are separated and pooled.
On this page we present recommendations for setups based on the number
of users you expect. For larger setups we give several recommended
architectures based on experience with GitLab.com and internal scale
testing that aim to achieve the right balance between both scalability
and availability.
For detailed insight into how GitLab scales and configures GitLab.com, you can
watch [this 1 hour Q&A](https://www.youtube.com/watch?v=uCU8jdYzpac)
with [John Northrup](https://gitlab.com/northrup), and live questions coming in from some of our customers.
## GitLab Components
The following components need to be considered for a scaled or highly-available
environment. In many cases, components can be combined on the same nodes to reduce
complexity.
- GitLab application nodes (Unicorn / Puma, Workhorse) - Web-requests (UI, API, Git over HTTP)
- Sidekiq - Asynchronous/Background jobs
- PostgreSQL - Database
- Consul - Database service discovery and health checks/failover
- PgBouncer - Database pool manager
- Redis - Key/Value store (User sessions, cache, queue for Sidekiq)
- Sentinel - Redis health check/failover manager
- Gitaly - Provides high-level storage and RPC access to Git repositories
- S3 Object Storage service[^4] and / or NFS storage servers[^5] for entities such as Uploads, Artifacts, LFS Objects, etc...
- Load Balancer[^6] - Main entry point and handles load balancing for the GitLab application nodes.
- Monitor - Prometheus and Grafana monitoring with auto discovery.
## Scalable Architecture Examples
When an organization reaches a certain threshold it will be necessary to scale
the GitLab instance. Still, true high availability may not be necessary. There
are options for scaling GitLab instances relatively easily without incurring the
infrastructure and maintenance costs of full high availability.
### Basic Scaling
This is the simplest form of scaling and will work for the majority of
cases. Backend components such as PostgreSQL, Redis, and storage are offloaded
to their own nodes while the remaining GitLab components all run on 2 or more
application nodes.
This form of scaling also works well in a cloud environment when it is more
cost effective to deploy several small nodes rather than a single
larger one.
- 1 PostgreSQL node
- 1 Redis node
- 1 Gitaly node
- 1 or more Object Storage services[^4] and / or NFS storage server[^5]
- 2 or more GitLab application nodes (Unicorn / Puma, Workhorse, Sidekiq)
- 1 or more Load Balancer nodes[^6]
- 1 Monitoring node (Prometheus, Grafana)
#### Installation Instructions
Complete the following installation steps in order. A link at the end of each
section will bring you back to the Scalable Architecture Examples section so
you can continue with the next step.
1. [Load Balancer(s)](load_balancer.md)[^6]
1. [Consul](consul.md)
1. [PostgreSQL](database.md#postgresql-in-a-scaled-environment) with [PgBouncer](pgbouncer.md)
1. [Redis](redis.md#redis-in-a-scaled-environment)
1. [Gitaly](gitaly.md) (recommended) and / or [NFS](nfs.md)[^5]
1. [GitLab application nodes](gitlab.md)
- With [Object Storage service enabled](../gitaly/index.md#eliminating-nfs-altogether)[^4]
1. [Monitoring node (Prometheus and Grafana)](monitoring_node.md)
### Full Scaling
For very large installations, it might be necessary to further split components
for maximum scalability. In a fully-scaled architecture, the application node
is split into separate Sidekiq and Unicorn/Workhorse nodes. One indication that
this architecture is required is if Sidekiq queues begin to periodically increase
in size, indicating that there is contention or there are not enough resources.
- 1 or more PostgreSQL nodes
- 1 or more Redis nodes
- 1 or more Gitaly storage servers
- 1 or more Object Storage services[^4] and / or NFS storage server[^5]
- 2 or more Sidekiq nodes
- 2 or more GitLab application nodes (Unicorn / Puma, Workhorse, Sidekiq)
- 1 or more Load Balancer nodes[^6]
- 1 Monitoring node (Prometheus, Grafana)
## High Availability Architecture Examples
When organizations require scaling *and* high availability, the following
architectures can be utilized. As the introduction section at the top of this
page mentions, there is a tradeoff between cost/complexity and uptime. Be sure
this complexity is absolutely required before taking the step into full
high availability.
For all examples below, we recommend running Consul and Redis Sentinel separately
from the services they monitor. If Consul is running on PostgreSQL nodes or Sentinel on
Redis nodes, there is a potential that high resource usage by PostgreSQL or
Redis could prevent communication between the other Consul and Sentinel nodes.
This may lead to the other nodes believing a failure has occurred and initiating
automated failover. Isolating Consul and Redis Sentinel from the services they monitor
reduces the chances of a false positive that a failure has occurred.
The examples below do not address high availability of NFS for objects. We recommend a
S3 Object Storage service[^4] is used where possible over NFS but it's still required in
certain cases[^5]. Where NFS is to be used some enterprises have access to NFS appliances
that manage availability and this would be best case scenario.
There are many options in between each of these examples. Work with GitLab Support
to understand the best starting point for your workload and adapt from there.
### Horizontal
This is the simplest form of high availability and scaling. It requires the
fewest number of individual servers (virtual or physical) but does have some
trade-offs and limits.
This architecture will work well for many GitLab customers. Larger customers
may begin to notice certain events cause contention/high load - for example,
cloning many large repositories with binary files, high API usage, a large
number of enqueued Sidekiq jobs, and so on. If this happens, you should consider
moving to a hybrid or fully distributed architecture depending on what is causing
the contention.
- 3 PostgreSQL nodes
- 3 Redis nodes
- 3 Consul / Sentinel nodes
- 2 or more GitLab application nodes (Unicorn / Puma, Workhorse, Sidekiq)
- 1 Gitaly storage servers
- 1 Object Storage service[^4] and / or NFS storage server[^5]
- 1 or more Load Balancer nodes[^6]
- 1 Monitoring node (Prometheus, Grafana)
![Horizontal architecture diagram](img/horizontal.png)
### Hybrid
In this architecture, certain components are split on dedicated nodes so high
resource usage of one component does not interfere with others. In larger
environments this is a good architecture to consider if you foresee or do have
contention due to certain workloads.
- 3 PostgreSQL nodes
- 1 PgBouncer node
- 3 Redis nodes
- 3 Consul / Sentinel nodes
- 2 or more Sidekiq nodes
- 2 or more GitLab application nodes (Unicorn / Puma, Workhorse, Sidekiq)
- 1 Gitaly storage servers
- 1 Object Storage service[^4] and / or NFS storage server[^5]
- 1 or more Load Balancer nodes[^6]
- 1 Monitoring node (Prometheus, Grafana)
![Hybrid architecture diagram](img/hybrid.png)
### Fully Distributed
This architecture scales to hundreds of thousands of users and projects and is
the basis of the GitLab.com architecture. While this scales well it also comes
with the added complexity of many more nodes to configure, manage, and monitor.
- 3 PostgreSQL nodes
- 1 or more PgBouncer nodes (with associated internal load balancers)
- 4 or more Redis nodes (2 separate clusters for persistent and cache data)
- 3 Consul nodes
- 3 Sentinel nodes
- Multiple dedicated Sidekiq nodes (Split into real-time, best effort, ASAP,
CI Pipeline and Pull Mirror sets)
- 2 or more Git nodes (Git over SSH/Git over HTTP)
- 2 or more API nodes (All requests to `/api`)
- 2 or more Web nodes (All other web requests)
- 2 or more Gitaly storage servers
- 1 or more Object Storage services[^4] and / or NFS storage servers[^5]
- 1 or more Load Balancer nodes[^6]
- 1 Monitoring node (Prometheus, Grafana)
![Fully Distributed architecture diagram](img/fully-distributed.png)
with [John Northrup](https://gitlab.com/northrup), and live questions coming
in from some of our customers.
## Recommended Setups based on number of users
- 1 - 1000 Users: A single node Omnibus setup with frequent backups. Refer to the [requirements page](https://docs.gitlab.com/ee/install/requirements.html) for further details of the specs you will require.
- 2000 - 50000+ Users: A scaled HA environment based on one of our [Reference Architectures](#reference-architecture-recommendations) below.
## GitLab Components and Install Instructions
Before we get into the architectures we should first detail the relevant GitLab
[components](https://docs.gitlab.com/ee/development/architecture.html#component-diagram) and / or
services it depends on along with our recommendations. They are presented in the order you would
typically install them:
| Component | Description | Install Instructions |
|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------|
| [Load Balancer(s)](load_balancer.md)[^6] | Handles load balancing for the GitLab nodes where required. | [Link](load_balancer.md) |
| [Consul](https://docs.gitlab.com/ee/development/architecture.html#consul)[^3] | Service discovery and health checks/failover | [Link](consul.md) |
| [PostgreSQL](https://docs.gitlab.com/ee/development/architecture.html#postgresql) | Database | [Link](database.md) |
| [PgBouncer](https://docs.gitlab.com/ee/development/architecture.html#pgbouncer) | Database Pool Manager | [Link](pgbouncer.md) |
| [Redis](https://docs.gitlab.com/ee/development/architecture.html#redis)[^3] with Redis Sentinel | Key/Value store for shared data with HA watcher service | [Link](redis.md) |
| [Gitaly](https://docs.gitlab.com/ee/development/architecture.html#gitaly)[^2] [^5] [^7] | Provides high-level storage and RPC access to Git repositories. | [Link](gitaly.md) |
| [Sidekiq](https://docs.gitlab.com/ee/development/architecture.html#sidekiq) | Asynchronous/Background jobs | |
| [S3 Object Storage service](object_storage.md)[^4] | Recommended store for shared data objects such as LFS, Uploads, Artifacts, etc... | [Link](object_storage.md) |
| [GitLab application nodes](https://docs.gitlab.com/ee/development/architecture.html#unicorn)[^1] | (Unicorn / Puma, Workhorse) - Web-requests (UI, API, Git over HTTP) | [Link](gitlab.md) |
| [NFS](nfs.md)[^5] [^7] | Shared disk storage service. Can be used as an alternative for Gitaly or Object Storage (unrecommended). Required for GitLab Pages. | [Link](nfs.md) |
| [Prometheus](https://docs.gitlab.com/ee/development/architecture.html#prometheus) and [Grafana](https://docs.gitlab.com/ee/development/architecture.html#grafana) | GitLab environment monitoring | [Link](monitoring_node.md) |
In some cases, components can be combined on the same nodes to reduce complexity as well.
## Reference Architecture Recommendations
The Support and Quality teams build, performance test, and validate Reference
Architectures that support large numbers of users. The specifications below are
a representation of this work so far and may be adjusted in the future based on
additional testing and iteration.
In this section we'll detail the Reference Architectures that can support large numbers
of users. These were built, tested and verified by our Quality and Support teams.
The architectures have been tested with specific coded workloads, and the
Testing was done with our GitLab Performance Tool at specific coded workloads, and the
throughputs used for testing were calculated based on sample customer data. We
test each endpoint type with the following number of requests per second (RPS)
per 1000 users:
......@@ -235,7 +81,7 @@ On different cloud vendors a best effort like for like can be used.
| GitLab Rails[^1] | 3 | 8 vCPU, 7.2GB Memory | n1-highcpu-8 |
| PostgreSQL | 3 | 2 vCPU, 7.5GB Memory | n1-standard-2 |
| PgBouncer | 3 | 2 vCPU, 1.8GB Memory | n1-highcpu-2 |
| Gitaly[^2] [^7] | X | 4 vCPU, 15GB Memory | n1-standard-4 |
| Gitaly[^2] [^5] [^7] | X | 4 vCPU, 15GB Memory | n1-standard-4 |
| Redis[^3] | 3 | 2 vCPU, 7.5GB Memory | n1-standard-2 |
| Consul + Sentinel[^3] | 3 | 2 vCPU, 1.8GB Memory | n1-highcpu-2 |
| Sidekiq | 4 | 2 vCPU, 7.5GB Memory | n1-standard-2 |
......@@ -257,7 +103,7 @@ On different cloud vendors a best effort like for like can be used.
| GitLab Rails[^1] | 3 | 16 vCPU, 14.4GB Memory | n1-highcpu-16 |
| PostgreSQL | 3 | 2 vCPU, 7.5GB Memory | n1-standard-2 |
| PgBouncer | 3 | 2 vCPU, 1.8GB Memory | n1-highcpu-2 |
| Gitaly[^2] [^7] | X | 8 vCPU, 30GB Memory | n1-standard-8 |
| Gitaly[^2] [^5] [^7] | X | 8 vCPU, 30GB Memory | n1-standard-8 |
| Redis[^3] | 3 | 2 vCPU, 7.5GB Memory | n1-standard-2 |
| Consul + Sentinel[^3] | 3 | 2 vCPU, 1.8GB Memory | n1-highcpu-2 |
| Sidekiq | 4 | 2 vCPU, 7.5GB Memory | n1-standard-2 |
......@@ -279,7 +125,7 @@ On different cloud vendors a best effort like for like can be used.
| GitLab Rails[^1] | 3 | 32 vCPU, 28.8GB Memory | n1-highcpu-32 |
| PostgreSQL | 3 | 4 vCPU, 15GB Memory | n1-standard-4 |
| PgBouncer | 3 | 2 vCPU, 1.8GB Memory | n1-highcpu-2 |
| Gitaly[^2] [^7] | X | 16 vCPU, 60GB Memory | n1-standard-16 |
| Gitaly[^2] [^5] [^7] | X | 16 vCPU, 60GB Memory | n1-standard-16 |
| Redis[^3] - Cache | 3 | 4 vCPU, 15GB Memory | n1-standard-4 |
| Redis[^3] - Queues / Shared State | 3 | 4 vCPU, 15GB Memory | n1-standard-4 |
| Redis Sentinel[^3] - Cache | 3 | 1 vCPU, 1.7GB Memory | g1-small |
......@@ -304,7 +150,7 @@ On different cloud vendors a best effort like for like can be used.
| GitLab Rails[^1] | 7 | 32 vCPU, 28.8GB Memory | n1-highcpu-32 |
| PostgreSQL | 3 | 8 vCPU, 30GB Memory | n1-standard-8 |
| PgBouncer | 3 | 2 vCPU, 1.8GB Memory | n1-highcpu-2 |
| Gitaly[^2] [^7] | X | 32 vCPU, 120GB Memory | n1-standard-32 |
| Gitaly[^2] [^5] [^7] | X | 32 vCPU, 120GB Memory | n1-standard-32 |
| Redis[^3] - Cache | 3 | 4 vCPU, 15GB Memory | n1-standard-4 |
| Redis[^3] - Queues / Shared State | 3 | 4 vCPU, 15GB Memory | n1-standard-4 |
| Redis Sentinel[^3] - Cache | 3 | 1 vCPU, 1.7GB Memory | g1-small |
......@@ -329,7 +175,7 @@ On different cloud vendors a best effort like for like can be used.
| GitLab Rails[^1] | 15 | 32 vCPU, 28.8GB Memory | n1-highcpu-32 |
| PostgreSQL | 3 | 16 vCPU, 60GB Memory | n1-standard-16 |
| PgBouncer | 3 | 2 vCPU, 1.8GB Memory | n1-highcpu-2 |
| Gitaly[^2] [^7] | X | 64 vCPU, 240GB Memory | n1-standard-64 |
| Gitaly[^2] [^5] [^7] | X | 64 vCPU, 240GB Memory | n1-standard-64 |
| Redis[^3] - Cache | 3 | 4 vCPU, 15GB Memory | n1-standard-4 |
| Redis[^3] - Queues / Shared State | 3 | 4 vCPU, 15GB Memory | n1-standard-4 |
| Redis Sentinel[^3] - Cache | 3 | 1 vCPU, 1.7GB Memory | g1-small |
......@@ -370,15 +216,15 @@ On different cloud vendors a best effort like for like can be used.
[Packages](../packages/index.md#using-object-storage) (Optional Feature),
[Dependency Proxy](../packages/dependency_proxy.md#using-object-storage) (Optional Feature).
[^5]: NFS storage server is still required for [GitLab Pages](https://gitlab.com/gitlab-org/gitlab-pages/issues/196)
and optionally for CI Job Incremental Logging
([can be switched to use Redis instead](../job_logs.md#new-incremental-logging-architecture)).
[^5]: NFS can be used as an alternative for both repository data and object storage but this isn't
typically recommended for performance reasons. Note however it is required for
[GitLab Pages](https://gitlab.com/gitlab-org/gitlab-pages/issues/196).
[^6]: Our architectures have been tested and validated with [HAProxy](https://www.haproxy.org/)
as the load balancer. However other reputable load balancers with similar feature sets
should also work instead but be aware these aren't validated.
[^7]: We strongly recommend that the Gitaly and / or NFS nodes are set up with SSD disks over
[^7]: We strongly recommend that any Gitaly and / or NFS nodes are set up with SSD disks over
HDD with a throughput of at least 8,000 IOPS for read operations and 2,000 IOPS for write
as these components have heavy I/O. These IOPS values are recommended only as a starter
as with time they may be adjusted higher or lower depending on the scale of your
......
doc/administration/high_availability/database.md
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......@@ -22,11 +22,9 @@ If you use a cloud-managed service, or provide your own PostgreSQL:
1. Configure the GitLab application servers with the appropriate details.
This step is covered in [Configuring GitLab for HA](gitlab.md).
## PostgreSQL in a Scaled Environment
## PostgreSQL in a Scaled and Highly Available Environment
This section is relevant for [Scaled Architecture](README.md#scalable-architecture-examples)
environments including [Basic Scaling](README.md#basic-scaling) and
[Full Scaling](README.md#full-scaling).
This section is relevant for [Scalable and Highly Available Setups](README.md).
### Provide your own PostgreSQL instance **(CORE ONLY)**
......@@ -94,23 +92,6 @@ deploy the bundled PostgreSQL.
Advanced configuration options are supported and can be added if
needed.
Continue configuration of other components by going
[back to Scaled Architectures](README.md#scalable-architecture-examples)
## PostgreSQL with High Availability
This section is relevant for [High Availability Architecture](README.md#high-availability-architecture-examples)
environments including [Horizontal](README.md#horizontal),
[Hybrid](README.md#hybrid), and
[Fully Distributed](README.md#fully-distributed).
### Provide your own PostgreSQL instance **(CORE ONLY)**
If you want to use your own deployed PostgreSQL instance(s),
see [Provide your own PostgreSQL instance](#provide-your-own-postgresql-instance-core-only)
for more details. However, you can use the GitLab Omnibus package to easily
deploy the bundled PostgreSQL.
### High Availability with GitLab Omnibus **(PREMIUM ONLY)**
> Important notes:
......
doc/administration/high_availability/gitaly.md
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......@@ -11,18 +11,15 @@ should consider using Gitaly on a separate node.
See the [Gitaly HA Epic](https://gitlab.com/groups/gitlab-org/-/epics/289) to
track plans and progress toward high availability support.
This document is relevant for [Scaled Architecture](README.md#scalable-architecture-examples)
environments and [High Availability Architecture](README.md#high-availability-architecture-examples).
This document is relevant for [Scalable and Highly Available Setups](README.md).
## Running Gitaly on its own server
See [Running Gitaly on its own server](../gitaly/index.md#running-gitaly-on-its-own-server)
in Gitaly documentation.
Continue configuration of other components by going back to:
- [Scaled Architectures](README.md#scalable-architecture-examples)
- [High Availability Architectures](README.md#high-availability-architecture-examples)
Continue configuration of other components by going back to the
[Scaling and High Availability](README.md#gitlab-components-and-install-instructions) page.
## Enable Monitoring
......
doc/administration/high_availability/object_storage.md 0 → 100644
View file @ 54804d8e
---
type: reference
---
# S3 Object Storage
GitLab supports utilizing an S3 Object Storage service over [NFS](nfs.md) for holding
numerous types of data. This is recommended in larger setups as object storage is
typically much more performant and reliable.
For configuring GitLab to use Object Storage refer to the following guides:
1. Make sure the [`git` user home directory](https://docs.gitlab.com/omnibus/settings/configuration.html#moving-the-home-directory-for-a-user) is on local disk.
1. Configure [database lookup of SSH keys](../operations/fast_ssh_key_lookup.md)
to eliminate the need for a shared `authorized_keys` file.
1. Configure [object storage for job artifacts](../job_artifacts.md#using-object-storage)
including [incremental logging](../job_logs.md#new-incremental-logging-architecture).
1. Configure [object storage for LFS objects](../lfs/lfs_administration.md#storing-lfs-objects-in-remote-object-storage).
1. Configure [object storage for uploads](../uploads.md#using-object-storage-core-only).
1. Configure [object storage for merge request diffs](../merge_request_diffs.md#using-object-storage).
1. Configure [object storage for packages](../packages/index.md#using-object-storage) (optional feature).
1. Configure [object storage for dependency proxy](../packages/dependency_proxy.md#using-object-storage) (optional feature).
NOTE: **Note:**
One current feature of GitLab that still requires a shared directory (NFS) is
[GitLab Pages](../../user/project/pages/index.md).
There is [work in progress](https://gitlab.com/gitlab-org/gitlab-pages/issues/196)
to eliminate the need for NFS to support GitLab Pages.
doc/administration/high_availability/redis.md
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......@@ -20,11 +20,9 @@ The following are the requirements for providing your own Redis instance:
Note the Redis node's IP address or hostname, port, and password (if required).
These will be necessary when configuring the GitLab application servers later.
## Redis in a Scaled Environment
## Redis in a Scaled and Highly Available Environment
This section is relevant for [Scaled Architecture](README.md#scalable-architecture-examples)
environments including [Basic Scaling](README.md#basic-scaling) and
[Full Scaling](README.md#full-scaling).
This section is relevant for [Scalable and Highly Available Setups](README.md).
### Provide your own Redis instance **(CORE ONLY)**
......@@ -85,22 +83,8 @@ Omnibus:
Advanced configuration options are supported and can be added if
needed.
Continue configuration of other components by going
[back to Scaled Architectures](README.md#scalable-architecture-examples)
## Redis with High Availability
This section is relevant for [High Availability Architecture](README.md#high-availability-architecture-examples)
environments including [Horizontal](README.md#horizontal),
[Hybrid](README.md#hybrid), and
[Fully Distributed](README.md#fully-distributed).
### Provide your own Redis instance **(CORE ONLY)**
If you want to use your own deployed Redis instance(s),
see [Provide your own Redis instance](#provide-your-own-redis-instance-core-only)
for more details. However, you can use the GitLab Omnibus package to easily
deploy the bundled Redis.
Continue configuration of other components by going back to the
[Scaling and High Availability](README.md#gitlab-components-and-install-instructions) page.
### High Availability with GitLab Omnibus **(PREMIUM ONLY)**
......
doc/integration/elasticsearch.md
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......@@ -258,7 +258,7 @@ If the database size is less than 500 MiB, and the size of all hosted repos is l
CAUTION: **Warning**:
Performing asynchronous indexing will generate a lot of Sidekiq jobs.
Make sure to prepare for this task by either [Horizontally Scaling](../administration/high_availability/README.md#basic-scaling)
Make sure to prepare for this task by having a [Scalable and Highly Available Setup](README.md)
or creating [extra Sidekiq processes](../administration/operations/extra_sidekiq_processes.md)
1. [Configure your Elasticsearch host and port](#enabling-elasticsearch).
......
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