Blog, 2016 Blogs

RLCatalyst Open-Source Announcement

DevOps as a concept is bringing fundamental changes in the way development, delivery and operations work by automating the software delivery process and infrastructure management. While this is still at nascent stage in many of the software enterprises, we at RelevanceLab are leading the way to enable enterprises to adopt DevOps  faster and efficiently through our flagship product RLCatalyst .

RLCatalyst helps you speed up your enterprise adoption of DevOps and increases DevOps maturity and benefits. To drive broader adoption and co-creation of DevOps assets, Relevance Lab is open-sourcing RLCatalyst 3.0 (Apache License 2.0)

RL Catalyst is built using new generation architecture and technologies and can can be leveraged as the “Foundation Framework” towards accelerated DevOps Maturity and using Cloud Computing the “Right-Way” . The framework can help enterprises transition to a “Software Defined Everything” context rapidly with out of the box support for Infrastructure, Applications and Services to be Managed, Self-Aware and Intelligent.

RLCatalyst DevOps Framework

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How you can make use of Catalyst

1.       Infrastructure Automation and Management: Manage your existing infrastructure by importing into RLCatalyst and get handle to control them. RLCatalyst provides you with the flexibility to create re-usable templates to automate dynamic provisioning and management of infrastructure using its pre-built automation libraries in the cloud provider of your choice. It helps you identify phantom capacity and retire your unused infrastructure

2.       Application Deployment: RLCatalyst provides you a seamless experience of managing your ALM lifecycle with its one-click application deployment, on a variety of cloud providers. You can reduce your deployment time from weeks to days to hours with better quality and with a focus on performance and health of the application. It works with popular latest CI/CD tools – Jenkins, JIRA, Chef, Puppet, BitBucket, Github, SonarQube, etc. to name a few, thereby easily integrating with your existing environment.

3.       Monitoring and Tracking: RLCatalyst helps you to adopt a “Managed Model” by importing your existing Data Centre and Cloud assets and tracking capacity planning, usage and cost to ensure better utilization and compliance. It gives you a  near-real time information on the cost and usage of your cloud infrastructure. RLCatalyst Enterprise and PAAS Editions give a detailed report of the  health and performance of your infrastructure and applications at an Organization/Project level.

We invite contributions , comments and feedbacks from the community. You can access our code from the GitHub page . Refer to our Docs for more details.

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