Install Artifactory HA with Helm

JFrog Installation & Setup Documentation

Content Type
Installation & Setup
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Paligo

Before you proceed with the installation, review the system requirements.

Operating Systems and Platform Support

The following table lists the supported operating systems and the versions.

Product

Debian

RHEL

Ubuntu

Windows Server

Amazon Linux

Artifactory

10.x, 11.x

8.x, 9.x

20.04, 22.04

2016 or 2019

Amazon Linux 2023

Operating Systems - End of Support

As part of JFrog commitment to maintain the security and reliability of the JFrog Platform, Artifactory will officially run with Node.js 20.x on all installation types from Artifactory 7.77.3.

Node.js 20.x provided with Linux Archive/Debian/RPM installations (non-containerized distributions) is not supported on the following operating systems.

Hence, these operating systems will no longer supported from Artifactory version 7.77.3.

Supported Platforms

The following table lists the supported platforms.

Product

x86-64

ARM64

Kubernetes

OpenShift

Artifactory

1.19+

4.13+

Installation on Kubernetes environments is through Helm Charts. Supported Helm version is Helm 3+.

ARM64 Support

From version 7.41.4, Artifactory supports installation on ARM64 architecture through Helm and Docker installations. You must set up an external database as the Artifactory database since Artifactory does not support the bundled database with the ARM64 installation. Artifactory installation pulls the ARM64 image automatically when you run the Helm or Docker installation on the ARM64 platform.

ARM64 support is also available for Xray, Pipelines (in Helm installation), and Insight. ARM64 support is not available for Distribution.

Artifactory Database Requirements

You can configure your own database from the following list.

Artifactory supports the following databases.

  • PostgreSQL

  • Oracle

  • MySQL

  • Microsoft SQL Server

  • MariaDB

Artifactory HA requires an external database, which is fundamental to management of binaries and is also used to store cluster wide configuration files.

Since Artifactory HA contains multiple Artifactory cluster nodes, your database must be powerful enough to service all the nodes in the system. Moreover, your database must be able to support the maximum number of connections possible from all the Artifactory cluster nodes in your system.

If you are replicating your database you must ensure that at any given point in time all nodes see a consistent view of the database, regardless of which specific database instance they access. Eventual consistency, and write-behind database synchronization is not supported.

Artifactory File Store

The filestore is where binaries are physically stored.

Artifactory provides the following options to store binaries.

  • Local file system in which binaries are stored with redundancy using a binary provider, which manages synchronizing files between the cluster nodes according to the redundancy defined.

  • Cloud storageAmazon S3 and Google Cloud Storage

  • Network File System (NFS)

For detailed information, see Filestore Configuration.

Binary Storage

While Artifactory can use a Networked File System (NFS) for its binary storage, you should do not install the application itself on an NFS. The Artifactory application needs very fast, reliable access to its configuration files. Any latency from an NFS will result in poor performance when the application fails to read these files. Therefore, install Artifactory on a local disk mounted directly to the host.

To use an NFS to store binaries, use the "file-system" binarystore.xml configuration with the additional "<baseDataDir>" setting.

Working with Very Large Storage

In most cases, our recommendation is for storage that is at least 3 times the total size of stored artifacts in order to accommodate system backups.Backups

However, when working with a very large volume of artifacts, the recommendation may vary greatly according to the specific setup of your system. Therefore, when working with over 10 TB of stored artifacts, contact JFrog support, who will work with you to provide a recommendation for storage that is customized to your specific setup.

Allocated storage space may vary

Xray downloads and then deletes fetched artifacts after indexing. However, in order to have more parallel indexing processes, and thereby more temporary files at the same time would require more space.

This is especially applicable for large BLOBs such as Docker images.

Artifactory Network Ports

Artifactory uses external network ports to communicate with services outside Artifactory and internal networks to communicate with Artifactory and other JFrog Platform microservices.

External Network Ports

Artifactory uses the following external network ports by default.

  • 8081

  • 8082

Internal Network Ports

Artifactory uses the following internal network ports.

Microservice

Port

Artifactory

8081

Access

8040 and 8045

Web

8070

Replicator

8048 and 9092

Metadata

8086

Router

8082, 8046, 8047, 8049, and 8091

Events

8061, and 8062

Integration

8071 and 8072

JFConnect

8030

Observability

8036

gRPC

8037

You can use the artifactory chart or the artifactory-ha chart to install Artifactory HA.

Connect JFrog Products Outside the Kubernetes Cluster

Currently, it is not possible to connect a JFrog product (like Xray) that is within a Kubernetes cluster with another JFrog product (like Artifactory) that is outside of the cluster, as this is considered a separate network. Therefore, JFrog products cannot be joined together if one of them is in a cluster.

Deploying Artifactory for Small, Medium, or Large Installations

The chart directory, includes three values files, one for each installation type–small/medium/large. These values files are recommendations for setting resources requests and limits for your installation. You can find the files in the corresponding chart directory.

Customized YAML File

When using a customized values.yaml file, remember to attach a -f flag to each upgrade command in the file.