--- title: "K3S High Availability with SafeKit: Install the k3s.safe Module for Failover" description: "SafeKit Video: Application-Level Clustering (8:47) In this video, discover how SafeKit implements a mirror HA cluster without the complexity of a SAN. While this demonstration uses Microsoft SQL Server, the solution works identically for other databases and applications. Chapters 2 nodes with SQL Server (0:32) Configure the cluster and the mirror.safe module (3:58) Start and […]" canonical: "https://safekit.eviden.com/quick-install/safekit-quick-installation-guide-with-kubernetes/" topics: "High Availability Quick Installation Guide for Kubernetes, SafeKit High Availability Limitations, Overview of the SafeKit / Kubernetes solution, Installation and configuration of the SafeKit / Kubernetes solution on Linux (k3s.safe), What are the different scenarios in case of network isolation in a cluster?, Demonstration of the SafeKit mirror solution, 🔍 SafeKit High Availability Navigation Hub" category: "quick-install" lang: "en" ---

K3S High Availability with SafeKit: Install the k3s.safe Module for Failover

High Availability Quick Installation Guide for Kubernetes

This guide explains how to set up a k3s cluster for Kubernetes using SafeKit, ensuring automatic failover and synchronous replication without the need for shared storage.

For help, you can use SafeKit AI 🤖.

1. Overview

Architecture: Uses a two-node system (Primary/Secondary).
Data Protection: Implements real-time synchronous replication for zero data loss (RPO=0).

2. Installation

Software: Install the SafeKit engine on both servers.
Module: Download the pre-configured k3s.safe application module.

3. Configuration

Web Console: Configure the specific folders containing the Kubernetes files.
Monitoring: Start monitoring and protecting the Kubernetes application.

SafeKit High Availability Limitations

Why a replication of a few Tera-bytes?

Resynchronization time after a failure (step 3)

1 Gb/s network ≈ 3 Hours for 1 Tera-bytes.
10 Gb/s network ≈ 1 Hour for 1 Tera-bytes or less depending on disk write performances.

Alternative

For a large volume of data, use external shared storage.
More expensive, more complex.

Why a replication < 1,000,000 files?

Resynchronization time performance after a failure (step 3).
Time to check each file between both nodes.

Alternative

Put the many files to replicate in a virtual hard disk / virtual machine.
Only the files representing the virtual hard disk / virtual machine will be replicated and resynchronized in this case.

Why a failover ≤ 32 replicated VMs?

Each VM runs in an independent k3s module.
Maximum of 32 k3s modules running on the same cluster.

Alternative

Use an external shared storage and another VM clustering solution.
More expensive, more complex.

Why a LAN/VLAN network between remote sites?

Automatic failover of the virtual IP address with 2 nodes in the same subnet.
Good bandwidth for resynchronization (step 3) and good latency for synchronous replication (typically a round-trip of less than 2ms).

Alternative

Use a load balancer for the virtual IP address if the 2 nodes are in 2 subnets (supported by SafeKit, especially in the cloud).
Use backup solutions with asynchronous replication for high latency network.

Overview of the SafeKit / Kubernetes solution

The solution is described here: Kubernetes K3s High Availability: 2-Node Synchronous Replication& Failover

Installation and configuration of the SafeKit / Kubernetes solution on Linux (k3s.safe)

1. Download packages

Download the free version of SafeKit 8.2 on Linux (safekitlinux_xx.bin)
Download the k3s.safe Linux module
Download the k3sconfig.sh script
Documentation (pptx)

Note: the k3sconfig.sh script installs K3S, MariaDB, NFS, SafeKit on 2 Linux Ubuntu 24.04 nodes.

Download SafeKit (Linux) >

⬇️ Download k3s.safe (Linux) >

Download k3sconfig.sh >

Documentation (pdf) >

2. First on both nodes

On 2 Linux Ubuntu 24.04 nodes, as root:

Make sure the node has internet access (could be through a proxy)
Copy k3sconfig.sh, k3s.safe and the safekit_xx.bin package into a directory and cd into it
Rename the .bin file as “safekit.bin”
Make sure k3sconfig.sh and safekit.bin are executable.
Edit the k3sconfig.sh script and customize the environment variables according to your environment (including a virtual IP)
Execute on both nodes: ./k3sconfig.sh prereq

The script will:

Install required debian packages: alien, nfs-kernel-server, nfs-common, mariadb-server
Secure mariadb installation
Create directories for file replication
Prepare the NFS server for sharing replicated directories
Install SafeKit

3. On the first node

Execute on the first node: ./k3sconfig.sh first

The script will:

Create the K3S configuration database and the k3s user
Create the replicated storage volume file (sparse file) and format it as an xfs filesystem
Create the safekit cluster configuration and apply it
Install and configure the k3s.safe module on the cluster
Start the k3s module as “prim” on the first node
Download, install and start k3s
Download and install nfs-subdir-external-provisioner Helm chart
Display K3S token (to be used during second node installation phase)

4. On the second node

Execute on the second node: ./k3sconfig.sh second <token>

is the string displayed at the end of the “k3sconfig.sh first” execution on the first node

The script will:

Make sure the k3s module is started as prim on the first node
Install k3s on the second node
Start the k3s module

5. Check that the k3s SafeKit module is running on both nodes

Check with this command on both nodes: /opt/safekit/safekit –H "*" state

The reply should be similar to the image.

/opt/safekit/safekit –H "*" state
---------------- Server=http://10.0.0.20:9010 ----------------
admin action=exec
--------------------- k3s State ---------------------

  Local  (127.0.0.1)    : PRIM (Service : Available)(Color : Green)
Success
---------------- Server=http://10.0.0.21:9010 ----------------
admin action=exec
--------------------- k3s State ---------------------

  Local  (127.0.0.1)    : SECOND (Service : Available)(Color : Green)
Success

6. Start the SafeKit web console to administer the cluster

Connect a browser to the SafeKit web console url http://server0-IP:9010.
You should see a page similar to the image.
Check with Linux command lines that K3S is started on both nodes (started in start_prim and start_second) and that MariaDB is started on the primary node (started in start_prim).

Kubernetes cluster started in the SafeKit web console

7. Testing

Stop the PRIM node by scrolling down its contextual menu and clicking Stop.
Verify that there is a failover on the SECOND node which should become ALONE (green).
And with command lines on Linux, check the failover of services (stopped on node 1 in the stop_prim script and started on node 2 in the start_prim script). MariaDB and K3S should run on node2.

If ALONE (green) is not reached on node2, analyze why with the module log of node 2.

click on node2 to display the module log.
example of a SQL Server module log where the service name in start_prim is invalid. The sqlserver.exe process is monitored but as it is not started, at the end the module stops.

If everything is okay, initiate a start on node1, which will resynchronize the replicated directories from node2.

If things go wrong, stop node2 and force the start as primary of node1, which will restart with its locally healthy data at the time of the stop.

More information on tests in the User's Guide.

8. Try the cluster with a Kubernetes application like WordPress

You have the example of a WordPress installation in the image: a web portal with a backend database implemented by pods.

You can deploy your own application in the same way.

WordPress is automatically highly available:

with its data (php + database) in persistent volumes replicated in real-time by SafeKit
with a virtual IP address to access the WordPress site for users
with automatic failover and automatic failback

Notes:

The WordPress chart defines a load balanced service that listens on <service.port> and <service.httpsport> ports.
WordPress is accessible through the url: http://<virtual-ip>:<service.port>.
The virtual IP is managed by SafeKit and automatically switched in case of failover.
By default, K3S implements load balancers with Klipper.
Klipper listens on :<service.port> and routes the TCP/IP packets to the IP address and port of the WordPress pod that it has selected.

$ export KUBECONFIG=/etc/rancher/k3s/k3s.yaml $ helm repo add bitnami https://charts.bitnami.com/bitnami $ helm install my-release bitnami/wordpress –set global.storageClass=nfs-client –set service.ports.http=8099,service.ports.https=4439

The previous helm command should download the WordPress image from registry-1.docker.io. You may encounter authentication issues on registry-1.docker.io. In this case, you should:

create /etc/rancher/k3s/registries.yaml on both nodes with inside:

configs:
  "registry-1.docker.io":
    auth:
      username: your_user_name
      password: your_password
    tls:
      insecure_skip_verify: true

stop and start k3s to take it into account, with systemctl stop k3s and systemctl start k3s.
Execute helm registry login -u your_user_name docker.io, then enter your password

9. Support

For getting support, take 2 SafeKit Snapshots (2 .zip files), one for each node.

Troubleshooting in the User's Guide.

10. If necessary, configure a splitbrain checker

See below “What are the different scenarios in case of network isolation in a cluster?” to know if you need to configure a splitbrain checker.
In the module configuration, click on Advanced Configuration (see image) to edit userconfig.xml.

Declare the splitbrain checker by adding in the <check> section of userconfig.xml:

<service>
 ...
 <check>
  ...
  <splitbrain ident="witness" exec="ping" arg="witness IP"/>
 </check>

Save and apply the new configuration to redeploy the modified userconfig.xml file on both nodes (module must be stopped on both nodes to save and apply).

Parameters :

ident="witness" identifies the witness with a resource name: splitbrain.witness. You can change this value to identify the witness.
exec="ping" references the ping code to execute. Do not change this value.
arg="witness IP" is an argument for the ping. Change this value with the IP of the witness (a robust element, typically a router).

What are the different scenarios in case of network isolation in a cluster?

A single network

When there is a network isolation, the default behavior is:

as heartbeats are lost for each node, each node goes to ALONE and runs the application with its virtual IP address (double execution of the application modifying its local data),
when the isolation is repaired, one ALONE node is forced to stop and to resynchronize its data from the other node,
at the end the cluster is PRIM-SECOND (or SECOND-PRIM according the duplicate virtual IP address detection made by Windows).

Two networks with a dedicated replication network

When there is a network isolation, the behavior with a dedicated replication network is:

a dedicated replication network is implemented on a private network,
heartbeats on the production network are lost (isolated network),
heartbeats on the replication network are working (not isolated network),
the cluster stays in PRIM/SECOND state.

A single network and a splitbrain checker

When there is a network isolation, the behavior with a split-brain checker is:

a split-brain checker has been configured with the IP address of a witness (typically a router),
the split-brain checker operates when a server goes from PRIM to ALONE or from SECOND to ALONE,
in case of network isolation, before going to ALONE, both nodes test the IP address,
the node which can access the IP address goes to ALONE, the other one goes to WAIT,
when the isolation is repaired, the WAIT node resynchronizes its data and becomes SECOND.

Note: If the witness is down or disconnected, both nodes go to WAIT and the application is no more running. That’s why you must choose a robust witness like a router.

Demonstration of the SafeKit mirror solution

SafeKit Video: Application-Level Clustering (8:47)

In this video, discover how SafeKit implements a mirror HA cluster without the complexity of a SAN. While this demonstration uses Microsoft SQL Server, the solution works identically for other databases and applications.

Chapters

2 nodes with SQL Server (0:32)
Configure the cluster and the mirror.safe module (3:58)
Start and test SQL replication, migration, failover on crash (4:17)

Step-by-Step Implementation

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🔍 SafeKit High Availability Navigation Hub

Explore SafeKit: Features, technical videos, documentation, and free trial

Resource Type	Description	Direct Link
Key Features	Why Choose SafeKit for Simple and Cost-Effective High Availability?	See Why Choose SafeKit for High Availability
Use Cases	Explore How SafeKit Ensures the High Availability of Critical Infrastructure	See All Use Cases (OEM Software, Edge Servers, SCADA, and more)
Deployment Model	All-in-One SANless HA: Shared-Nothing Software Clustering	See SafeKit All-in-One SANless HA
HA Strategies	SafeKit: Infrastructure (VM) vs. Application-Level High Availability	See SafeKit HA & Redundancy: VM vs. Application Level
Technical Specifications	Technical Limitations for SafeKit Clustering	See SafeKit High Availability Limitations
Proof of Concept	SafeKit: High Availability Configuration & Failover Demos	See SafeKit Failover Tutorials
Architecture	How the SafeKit Mirror Cluster works (Real-Time Replication & Failover)	See SafeKit Mirror Cluster: Real-Time Replication & Failover
Architecture	How the SafeKit Farm Cluster works (Network Load Balancing & Failover)	See SafeKit Farm Cluster: Network Load Balancing & Failover
Competitive Advantages	Comparison: SafeKit vs. Traditional High Availability (HA) Clusters	See SafeKit vs. Traditional HA Cluster Comparison
Technical Resources	SafeKit High Availability: Documentation, Downloads & Trial	See SafeKit HA Free Trial & Technical Documentation
Pre-configured Solutions	SafeKit Application Module Library: Ready-to-Use HA Solutions	See SafeKit High Availability Application Modules

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