Learn about Algolia’s classic infrastructure that runs on bare-metal servers.
Algolia’s classic infrastructure runs directly on the hardware without virtualization.
This is sometimes called bare metal.When you create a new Algolia with the Build, Grow, and Premium plans,
it’ll be hosted on classic infrastructure.
For more information, see Pricing.
Your application is hosted on a cluster of three identical servers.
This ensures a high availability:
if one or two servers go down, your users can still search,
while indexing operations are paused until all three servers are online again.
For more information see Availability over consistency.Having three copies of your data also makes data recovery easier if there’s a hardware failure.This redundancy guarantees an SLA of 99.99% availability.
All three servers in a cluster have the same data.
To prevent inconsistencies, Algolia uses the Raft algorithm
to ensure that all servers in a cluster update simultaneously.
This ensures that each server always has the same data without service interruption.
By default, your Algolia application shares a cluster with other applications.
You can request dedicated infrastructure as an add on.
For more information, see Pricing.You can add more servers to your cluster.
This adds capacity to handle search requests,
and reduces network latency if you add servers in a region closer to your users.
For more information, see Distributed Search Network.For more information,
see Large indexing jobs.
If one or two servers go down,
the others will still handle search requests without interruption.
For search, consistency is less important.
As long as one server is able to handle the ,
your users still get search results.
While one server might be unreachable to the other servers within the cluster,
it might still receive requests from the outside.
In that case, the other two servers continue handling requests,
finding consensus among themselves.
On unreachable servers, indexing jobs are queued.
If the third server becomes reachable again, it can synchronize with the other two.
Availability guarantees constant access to your data without service outage.
Consistency guarantees the same data everywhere at the same time,
for example, all users get the same search results simultaneously.
For more information, see CAP theorem and eventual consistency.Algolia chooses availability over consistency.Because when users search, they should always get results.
This is more important than small differences between searches.
Under normal load, synchronizing data between three servers takes seconds or less,
so that you only infrequently experience data discrepancies.That’s why all three servers in a cluster respond to search requests,
so that at least one server is always available.
If Algolia were to delay search requests until all three servers have the same data (consistency),
it might cause large delays, leading to an unresponsive search.
When you create new Algolia applications with classic infrastructure,
you can choose a region where your new application will be hosted.
Some regions aren’t available for all plans.
For more details, see Pricing.
Region
Notes
US-East (Virginia)
2 different Equinix data centers in Ashburn & COPT DC-6 in Manassas (3 independent, autonomous systems
US-West (California)
3 different Equinix data centers in San Jose (3 independent, autonomous systems)
US-Central (Texas)
2 different data centers in Dallas (2 independent, autonomous systems)
Europe (France)
4 different data centers in Roubaix, 2 different data centers in Strasbourg, and 1 data center in Gravelines
Europe (Netherlands)
DSN only
4 different data centers around Amsterdam
Europe (Germany)
7 different data centers in Falkenstein and 1 data center in Frankfurt (2 independent, autonomous systems
Europe (UK)
2 different data centers in London (2 independent, autonomous systems)
Canada
4 different data centers in Beauharnois
Middle East
DSN only
1 data center in Dubai
Singapore
2 different data centers in Singapore (2 independent, autonomous systems)
Brazil
3 different data centers around São Paulo (2 independent, autonomous systems)
Japan
1 data center in Tokyo and 1 data center in Osaka
Australia
3 data centers in Sydney (2 independent, autonomous systems)
India
1 data center in Noida
Hong Kong
2 different data centers (2 independent, autonomous systems)
South Africa
2 data centers in Johannesburg (2 independent, autonomous systems)