System requirements

This document contains information about hardware and software requirements for HCL™ Accelerate.

Minimum system requirements for proof of concept environment

Table 1. Minimum system requirements for Proof of concept (POC)
Resource Requirement
Platform Docker and Docker Compose
Number of Platform Nodes N/A
Operating System See the Docker platform documentation for supported operating systems
Processor 4 CPU Cores
Memory 12 GBs RAM
Storage
  • 20 GBs for MongoDB with continued growth over extended usage (see figure below for storage guidelines)
  • 3 GBs for Rabbit MQ and all HCL™ Accelerate Docker containers
  • 4 GBs during the installation process
Network Gigabit (1000) Ethernet with low-latency to the database

Minimum system requirements for production environment

Table 2. Minimum system requirements for production environment
Resource Requirement
Platform Docker EE, OpenShift, Kubernetes
Number of Platform Nodes 3
Operating System See your Docker platform documentation for supported operating systems
Processor 4 CPU Cores
Memory 12 GBs of RAM
Storage
  • 20 GBs for MongoDB with continued growth over extended usage (see figure below for storage guidelines)
  • 3 GBs for RabbitMQ and all HCL™ Accelerate Docker containers
  • 4 GBs during the installation process
Network Gigabit (1000) Ethernet with low-latency to the database

MongoDB requirements

Unlike Docker Compose, the MongoDB is not installed by default and you are expected to install it separately, configure, and maintain the database. As a guideline, use the following specifications:
  • 2 CPU Cores
  • 8 GBs RAM minimum (16 GBs recommended)
  • 20 GBs storage minimum (50 GBs recommended)
Note: MongoDB replica sets are supported if configured by the customer. Additional details are found here.

The figure below provides storage guidelines over time and contributors to total size.

Figure 1. Storage guidelines
storage guidelines over time graph and contributors to total size pie chart
For the above graph, estimates are calculated using real production data and with the following assumptions:
  • Each onboarded application has at least one associated value stream.
  • Over 300 issues are created and imported per year with associated Pull requests (PRs) and commits.
  • Over 20 builds and deployments are captured per application per day.
  • Five quality metrics are captured per build with examples including functional test results, code coverage, vulnerability scans, and so forth.
The following table details growth estimates over time based on number of apps per year.
Table 3. Growth estimates
Number of apps per year Day 1 (GB) Year 1 (GB) Year 2 (GB) Year 3 (GB)
1 0.5 4 8 13
5 2 10 17 25
10 5 16 28 41
25 12 37 62 88
The following table details estimates for environments based on number of apps.
Table 4. Environment estimates
Environment Number of apps Size (GB)
POC 1-3 20
Pilot 5-10 30
Typical onboarding 20-30 70

Containers

Table 5. Containers
Name Version Environments Future Releases
bitnami/nginx 1.19 Docker Compose, Docker EE, Kubernetes, OpenShift Including all fix packs
bitnami/rabbitmq 3.7.9 Docker Compose, Docker EE, Kubernetes, OpenShift
Note: All containers are included in the product. No specific setup required for containers.

Databases

Table 6. Databases
Name Version Environments Future Releases
MongoDB Enterprise Edition 4.0, 4.2 Docker Compose, Docker EE, Kubernetes, OpenShift Including all fix packs

Docker Platforms

Table 7. Docker Platforms
Name Version Future Releases
Docker Enterprise Edition 18.03 Including all fix packs
OpenShift 4.8 Including all fix packs
Kubernetes 1.21 Including all fix packs

Supporting Docker tools

Table 8. Supporting Docker tools
Name Version Future Release
Docker Community Edition (refer to Note 1) 18.03 Including all fix packs
Docker Compose (refer to Note 1) 3 Including all fix packs
Helm (refer to Note 2) 3 Including all future versions, releases, and fix packs
Note:
  1. These tools can run HCL™ Accelerate without the use of a Docker platform. However, this approach is not supported in production environments.
  2. Required prerequisite for Kubernetes

Integration sources

Table 9. Integration sources
Name Version Future Releases
Atlassian JIRA 6.4 Including all future versions, releases, and fix packs
HCL™ Launch 7.1.0.0 Including all future versions, releases, and fix packs
UrbanCode Deploy 7.0.0.0 Including all future versions, releases, and fix packs
Jenkins 2.7.1 Including all future versions, releases, and fix packs
ServiceNow Helsinki Including all future versions, releases, and fix packs
Note: New integrations are added frequently. Consult the HCL™ Accelerate plug-in website for the latest details.

Web browsers

Table 10. Web browsers
Name Version Future Releases
Google Chrome Latest version Including all future versions, releases, and fix packs
Microsoft Edge Latest version Including all future versions, releases, and fix packs
Mozilla Firefox Latest version Including all future versions, releases, and fix packs