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Accelerate from "Agile to DevOps" using "RLCatalyst for Jira Cloud"

"Relevance Lab has released a Plug-in of their Product RLCatalyst integrated with Jira and available on the Atlassian Marketplace. Atlassian Suite of Products are used by numerous Enterprises for their Planning, Issue Tracking, Builds, Collaboration and Knowledge management needs. Organizations can move beyond Agile to a DevOps Driven Maturity leveraging Cloud and Continuous Delivery"

RLCatalyst-Jira interface enables the following:


Single-Click Deployment Automation.
Intelligent IT to manage existing Infrastructure, Import nodes and Auto-Inspect Configurations.

Extend Continuous Integration Workflows to Continuous Delivery and Deployments.
DevOps Driven Test Automation for Functional and Performance workflows leveraging Dynamic capacity.

Integrated Monitoring of Logs and Operational Intelligence for better Diagnostics and Interventions.
Dynamic Provisioning and Configuration of Infrastructure, Environments and Common Software stacks.

Software Installation and Software Distribution Automation.
Use End-to-End Tool chains for better Software Engineering Maturity.

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RLCatalyst-Jira Interface

RLCatalyst-Jira Plug-in Features and Evaluation Workflows


MANAGED INFRASTRUCTURE - IMPORT AND INSPECT
managedInfra
1.
Import of Nodes and installation of basic softwares
a.
Import a Node using IP Address
i.
Auto-detect Operating system (Windows or Linux)
ii.
Enable SSH or RDP based on Linux or Windows node
b.
Inspect the Node and detect basic hardware, software and installed basic softwares on the node and display to user in Control Panel Info page
INFRASTRUCTURE AUTOMATION
infra
1.
Installation of basic software (Single Node)
a.
Linux Stack test
i.
Install Tomcat | Install JBoss | Install MySQL |
ii.
Install Node.JS | Install MongoDB
iii.
Install LifeRay | Install Solr
b.
Windows Stack Test
i.
Install IIS Versions | Install SQL Server
2.
Installation of basic software (Multiple Nodes)
i.
Install Java Stack across the Tiers – Web, App, DB with appropriate configurations
ii.
Install Node.js + Mongo DB across 2 Tiers
iii.
Install IIS + MS SQL across 2 Tiers
3.
Installation of Commonly used software stacks with Docker
i.
Liferay, Solr, MySQL
ii.
Node.Js + Mongo DB
SOFTWARE DEPLOYMENTS
softwareDep
1.
Deployment Test
a.
Deployment of a Simple Java Application
i.
Application Only
ii.
Application + Database
b.
Deployment of Node.JS+ MongoDB Application
c.
Deployment of a .NET + SQL Server based Applications
d.
Deployment of a Liferay + Postgres Application on Linux
2.
Deployment Test with Docker Based Containers
TESTING – FUNCTIONAL AND PERFORMNACE
testing
1.
Testing of Deployed Applications
a.
Automated Test options
i.
Using Test-NG based Java-Selenium Framework
ii.
Using Selenium + Cucumber based Framework
b.
Docker Based Testing
i.
Using Test-NG based Java-Selenium Framework
ii.
Using Selenium + Cucumber based Framework
c.
Performance Testing
i.
JMeter based testing
MONITORING
infra
1.
Ability to see Aggregated System, Application Logs for all Imported Nodes
2.
Ability to see basic System Health of all imported nodes

If you are interested in knowing more about this “Accelerated DevOps and Continuous Delivery” adoption within your current Jira environments feel free to write to marketing@relevancelab.com and get a Free Evaluation Version of the software for 30 days.