Table of Contents

Introduction

As part of the HA (High Availability) investigation, the decision was made to focus on the use of certain tools in testing and implementation.

As a database HA solution for Postgres, the Patroni project was chosen. Patroni's solution involves a primary-replica structure for replication. Writes and reads are made to the primary and the data is streamed asynchronously to the replicas. The primary is referred to as the leader in the documentation and this database instance becomes leader by way of a leader election. The elected leader holds a lock. All other instances see this and assume a role as a secondary. If the leader node dies, a new election is done and a new leader is selected. This process is extremely quick.

For backup and restore a tool called Velero was chosen. Velero is a widely used and comprehensive tool for backup of Kubernetes resources, including persistent volumes. The CLI provided by Velero is easy to use and adopts a good amount of the syntax used by kubectl.

The remainder of this document will show a deployment of a 5 pod Patroni cluster inside a Kubernetes environment. The database cluster will then be backed-up, destroyed and then restored - in that order.

Notes

All installation takes place on Ubuntu 20.04
This demonstration assumes that you have a running Kubernetes cluster and a helm repo (The name used in this case for the repo is "local").
A tool called "minio" is used to simulate connection to AWS. In a real world situation, minio would not be needed because a Kubernetes cluster would be backed by cloud provider storage.
This demo is based on kubernetes server version 1.22.6 and client (kubectl) version 1.23.3

Running minio

Firstly, we will install minio on the machine you are using with Docker. This command pulls the minio image and creates the container with a volume called "data" mapped to the /data directory.

Code Block

language	bash

docker run --name minio -p 9000:9000 -v data:/data minio/minio server /data</pre></td></tr></tbody></table><p class="auto-cursor-target">This creates a docker container based on the minio image and exposes the service on port 9000. It creates a docker volume mapped to the /data directory. Minio server is then started with that volume as the data directory for the application.</p><p class="auto-cursor-target">You should then see output similar to below:</p><p class="auto-cursor-target"><img class="confluence-embedded-image confluence-external-resource confluence-content-image-border" 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" alt="" data-attachment-copy="" width="1801" height="165" border="1">Take particular note of both the credentials and the console address. You can then navigate to the minio console and login with the credentials from above.Once logged in, create an S3 bucket and call it "kubedemo"That is all the setup required for miniodata

The output should be similar to the below. Pay particular attention to the credentials and the address of the web ui.

Image Added

Navigate to the web ui and enter in the credentials.

Image Added

Once the credentials are entered, you can create an S3 bucket called "kubedemo"

Image Added

That is all the setup required for minio.

Velero Installation

Firstly we download the required version of the velero client, untar, put the binaries in the appropriate place and delete the tar.gz

Code Block

language	bash

wget https://github.com/vmware-tanzu/velero/releases/download/v1.8.0-rc.1/velero-v1.8.0-rc.1-linux-amd64.tar.gz
tar zxf velero-v1.8.0-rc.1-linux-amd64.tar.gz
sudo mv velero-v1.8.0-rc.1-linux-amd64/velero /usr/local/bin/
rm -rf velero*

This completes the installation of the Velero client.

Then run the following to create a credentials file that Velero will use to access minio. Change the credentials accordingly.

Code Block

language	bash

cat <<EOF>> minio.credentials
[default]
aws_access_key_id=minioadmin
aws_secret_access_key=minioadmin
EOF

Finally, we can install the Velero components in the cluster with the following. Change the IP of your minio installation accordingly and make sure you provide the correct path to "minio.credentials".

Code Block

language	bash

velero install --provider aws --bucket kubedemo \
--secret-file ./minio.credentials \
--backup-location-config region=minio,s3ForcePathStyle=true,s3Url=http://172.17.0.2:9000 \
--plugins velero/velero-plugin-for-aws:v1.4.0-rc1 \
--use-volume-snapshots false --use-restic

Once this executes successfully, Velero is fully installed. If you check your Kubernetes namespaces you should now see one named "velero" with both Velero and Restic pods running. Restic enables us to backup persistent volumes that are stored in our local file system.

Patroni Setup and Installation

Once minio and Velero are set up, we can start to bring up the Patroni installation. Details about Patroni for Postgres and what it does can be found here and in out investigation wiki article. In brief, what Partoni does is make the Postgres distribution High Availability. It sets up a cluster of database instances (number is configurable). It will elect one as the leader - this election is done in a quick and efficient manner to minimise downtime. Data is synchronised quickly across databases so that they always have the same data. Kubernetes will quickly spin up a new instance if one of the current instances fails.

We have provided a helm chart for Patroni that uses the OOM common helm named templates for some of its operations. In this way the Patroni chart will fit into the OOM repo quite easily. We have provided the Patroni chart and common chart:

View file

name	patroni-0.12.1.tgz
height	250

View file

name	common-9.0.0.tgz
height	250

These can be used in your local/remote setup. Here we will detail how to set this up in your environment.

Once these charts are pushed to your "local" repo and Velero and minio are running, you should create a new Kubernetes namespace called "patroni". You can do this with

Code Block

language	bash

kubectl create ns patroni

Make sure the charts are visible in your repo.

Image Added

All of the Patroni Postgres database instances will be created in that namespace. Next, we can simple install our helm charts in the Patroni namespace.

Code Block

language	bash

helm install patroni-velero patroni -n patroni

Once installation runs without error, you should be able to observe several things in your cluster. We look at the pods that have been created:

Image Added

We can take a quick look to see which of these pods has been elected the leader of the cluster currently

Image Added

Here we can see the pod patroni-velero-0 has been elected leader and the others are replicas. We can see what happens if we delete the leader.

Code Block
kubectl delete po patroni-velero-0 -n patroni

Very quickly we will see that a new leader has been elected and that the deleted pod has been recreated as a replica

Image Added

So, at this stage we know the failover mechanism and leader election is working properly.

Persistent Volumes and Storage

The charts used have been setup to use persistent volumes and claims in the same way that this is set up in OOM. The volumes are mapped to a local drive. In a cluster, this will be the NFS and you may have to configure the chart to point to the NFS but on my local setup I have configured it to point to "/home/postgres". If we look under there we will see the backup directory and volumes for each of the database instances.

Image Added

In addition, you can see both the persistent volumes and the persistent volume claims in the Kubernetes namespace:

Image Added

I have set the capacity of each in the chart configuration to 1G. You can configure this in the Patroni values.yaml.

Add Some Data

The next step in the demo is to add some data to the databases. Once we add some data, we can create a backup.

First, we look at the patroni Kubernetes service so that we know which NodePort we can connect to from outside.

Image Added

The NodePort in this case is 31957. In this case we use Intellij's built-in database client to connect to the database. Once connected, we should see something like this:

Image Added

User is: "postgres". Password is: "tea". We use the interface here to create a new schema - called patroni and a new table called "patroni-db". The SQL to create the table is:

Code Block

language	sql

create table patroni."patroni-db"
(id bigint NOT NULL,
  name varchar(255) default NULL,
  phone varchar(100) default NULL,
  email varchar(255) default NULL,
  country varchar(100) default NULL,
  PRIMARY KEY (id)
);

Then we can add some data with the below:

Code Block

language	sql

INSERT INTO patroni."patroni-db" (id,name,phone,email,country)
VALUES
    (1, 'Juliet Oneal','(455) 278-4852','et.tristique@hotmail.edu','Austria'),
    (2, 'Yolanda Russo','1-355-528-2157','nisl.elementum@outlook.net','Colombia'),
    (3, 'August Sutton','1-259-524-1472','id.risus@outlook.com','New Zealand'),
    (4, 'Lana Mann','(732) 135-6552','sollicitudin.a@google.com','South Korea'),
    (5, 'Logan Harrison','1-703-292-0386','vulputate.risus@google.net','South Korea');

Once we have confirmed that the data we added is actually in the database, we can begin the Velero backup.

Velero Backup

This process should be very simple as the Velero cli is self-explanatory - we are going to backup the entire "patroni" namespace - this will include persistent volumes and persistent volume claims.

Code Block

language	bash

velero backup create patroni-backup --include-namespaces patroni --default-volumes-to-restic

Once this runs, you can view the logs/output to see if backup was successful.

Code Block

language	bash

velero backup describe patroni-backup

If you see that it was successful in the output, we can look in the minio "kubedemo" bucket to see the objects there.

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You should see something like the above - and the backup is complete.

Delete the Patroni Namespace & Create a Velero Restore

To delete the namespace and its' contents run:

Code Block

language	bash

helm uninstall patroni-velero -n patroni
kubectl delete ns patroni

Ensure that all pvs and pvcs are deleted.

To create the restore - it is again, a simple command:

Code Block

language	bash

velero restore create partoni-restore --from-backup patroni-backup

Check the result of the restore with:

Code Block

language	bash

velero restore describe partoni-restore

It should show everything completed successfully. We can check the pods, pvs and pvcs and we should see everything works as expected - including leader election:

Code Block

language	bash

kubectl get pods -l spilo-role -L spilo-role -n patroni
kubectl get pv -n patroni
kubectl get pvc -n patroni

We should now check the database to see if our data has been restored. The NodePort will have changed on restart, so we will have to check that again. Once we have that, we connect to the database. Checking the table we created, we should be able to see that the data is restored:

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This marks an end of the demo. To summarise:

We ran minio to simulate AWS storage infrastructure
We installed Velero in our cluster
We used the charts that were provided to install Patroni in helm/kubernetes
We added a schema, a table and some data on the Patroni cluster
We created a Velero backup of the patroni namespace including persistent volumes
We deleted the namespace and volumes.
We used velero to restore the namespace and volumes
We confirmed the data was restored

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Key

Introduction

Notes

Running minio

Velero Installation

Patroni Setup and Installation

Persistent Volumes and Storage

Add Some Data

Velero Backup

Delete the Patroni Namespace & Create a Velero Restore

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Versions Compared

Old Version 5

New Version Current

Key

Introduction

Notes

Running minio

Velero Installation

Patroni Setup and Installation

Persistent Volumes and Storage

Add Some Data

Velero Backup

Delete the Patroni Namespace & Create a Velero Restore