Charmed PostgreSQL K8s
- Canonical
- Databases
Channel | Revision | Published | Runs on |
---|---|---|---|
latest/stable | 20 | 20 Sep 2022 | |
14/stable | 445 | Yesterday | |
14/stable | 444 | Yesterday | |
14/candidate | 382 | 09 Sep 2024 | |
14/candidate | 381 | 09 Sep 2024 | |
14/beta | 449 | Yesterday | |
14/beta | 448 | Yesterday | |
14/edge | 451 | Yesterday | |
14/edge | 450 | Yesterday |
juju deploy postgresql-k8s --channel 14/edge
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Platform:
Set up clusters for cross-regional async replication
Cross-regional (or multi-server) asynchronous replication focuses on disaster recovery by distributing data across different servers.
This guide will show you the basics of initiating a cross-regional async setup using an example PostgreSQL K8s deployment with two servers: one in Rome and one in Lisbon.
Prerequisites
- Juju
v.3.4.2+
- Make sure your machine(s) fulfill the system requirements
- See supported target/source model relationships.
Summary
Deploy
To deploy two clusters in different servers, create two juju models - one for the rome
cluster, one for the lisbon
cluster. In the example below, we use the config flag profile=testing
to limit memory usage.
juju add-model rome
juju add-model lisbon
juju switch rome # active model must correspond to cluster
juju deploy postgresql-k8s db1 --trust --channel=14/edge --config profile=testing --base ubuntu@22.04
juju switch lisbon
juju deploy postgresql-k8s db2 --trust --channel=14/edge --config profile=testing --base ubuntu@22.04
Offer
Offer asynchronous replication in one of the clusters.
juju switch rome
juju offer db1:replication-offer replication-offer
Consume
Consume asynchronous replication on planned Standby
cluster (Lisbon):
juju switch lisbon
juju consume rome.replication-offer
juju integrate replication-offer db2:replication
Promote or switchover a cluster
To define the primary cluster, use the create-replication
action.
juju run -m rome db1/leader create-replication
To switchover and use lisbon
as the primary instead, run
juju run -m lisbon db2/leader promote-to-primary
Scale a cluster
The two clusters work independently, which means that it’s possible to scale each cluster separately. The -m
flag defines the target of this action, so it can be performed within any active model.
juju scale-application db1 3 -m rome
juju scale-application db2 3 -m lisbon
Note: Scaling is possible before and after the asynchronous replication is established/created.