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Relevance Lab (RL) is a specialist company in helping customers adopt cloud "The Right Way" by focusing on an "Automation-First" and DevOps strategy. It covers the full lifecycle of migration, governance, security, monitoring, ITSM integration, app modernization, and DevOps maturity.
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Research Gateway is an application designed for the AWS cloud. See what considerations went into the architecture and how we followed best practices to earn the “Reviewed by AWS” badge.
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Join us in the journey while – rewind – through the year 2021, and take a look at some of the noteworthy highlights of Relevance Lab and AWS Partnership.
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Merging the capabilities of RLCatalyst and UiPath to automate legacy systems such as AS/400, businesses significantly reduce the total automation investment and time while accelerating the ROI by enabling intelligent automation for a plethora of common use cases like user onboarding and offboarding.
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Comprehensive Automated Cloud Solution for Security, Compliance & Cost Management using AWS Control Tower, RL Automated solution with RLCatalyst BOTs server and AWS best practices.
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AWS Cloud provides the right platform to scale Health Informatics and Genomic Research with security, data privacy, and cost-effectiveness. Relevance Lab offers a scalable architecture blueprint with RLCatalyst Research Gateway and pre-built support for common researcher tools like BioInformatics starter kit, Nextflow, R-Studio, Open Data sets to speed up Scientific Research on Cloud.
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Working closely with AWS partnership teams, we have now made RLCatalyst Research Gateway (SaaS) available on AWS Marketplace for seamless consumption. Available on a tiered user-based pricing model, you can continue using your existing AWS accounts.
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RLCatalyst Research Gateway provides scientists and research professionals simplification of cloud adoption while speeding up their research with proper cost & budget controls and secure governance for research programs. Built on AWS & leveraging the best practices, the portal makes research simpler, faster, and better.
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Today, the growing need for remote working, cloud-based assets, and touchless interactions have amplified the importance of automated user onboarding and offboarding. By leveraging existing investments in common ITSM tools, AWS Control Services, and with a pre-existing library of commonly used Relevance Lab's BOTs, customers can quickly achieve end-to-end automation.
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Relevance Lab's RLCatalyst Research Gateway on AWS acts as a bridge providing seamless & secure interaction for personas, access to programs & budgets with the ability to consume and manage the lifecycle of research-related computational and data resources. It provides frictionless and intelligent interactions between the system.
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Relevance Lab has proudly partnered with Sri Chaitanya Trust for CSR activities. We have utilized our funds for strengthening the Fight against Covid-19 and gifting Clear Vision to Senior Citizens.
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Solving real-world scientific research problems requires deep domain understanding, access to public data sets, and complex computation analysis with advanced visualizations. Leveraging the Cloud computing and RLCatalyst Research Gateway, we explain simplifying the process with a common use case for Earth Sciences Atmosphere modelling and analysis.
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Working with research labs and institutions around the world, AWS and Relevance Lab are creating solutions to help researchers process complex workloads leveraging High-Performance Computing (HPC) on Cloud.
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Accelerate your Cloud adoption journey without worrying about Security, Governance and Cost Management with AWS Control Tower, AWS Security Hub and Cloud Custodian.
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COVID-19 increased momentum for Cloud adoption worldwide in solving new challenges with frictionless approach leveraging Automation, touchless interactions and remote workforces. Relevance Lab in partnership with AWS responded with niche solutions and helping clients adopt AWS the right way.
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Analyze and debug distributed applications performance management using AWS X-Ray. AWS X-Ray provides an end-to-end view of requests as they travel through your application, and shows a map of your application's underlying components.
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Solving real-world scientific research problems requires deep domain understanding, access to public data sets, and complex computation analysis with advanced visualizations. Leveraging the Cloud computing and RLCatalyst Research Gateway, we explain simplifying the process with a common use case for Earth Sciences in modelling and analysis for “Chemistry of Atmosphere”.
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Relevance Lab partners with ServiceNow DevOps and joins the Early Adopter Program.
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ServiceNow Automation Test Framework (ATF) provides a flexible and mature solution to speed up platform upgrade testing.
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AWS Service Management Connector for Jira Service Desk to provision and maintain AWS resources for User On-boarding with RLCatalyst Intelligent Automation.
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SOX Compliance is an essential part of large enterprises governance process. Leveraging new technology, process and tools, enterprises can now achieve 40-50% Intelligent Automation related to SOX Compliance activities.
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Provisioning of complex and hybrid-cloud infrastructure setups .
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RLCatalyst now supports OKTA integration with SAML 2.0 for enterprise deployments.
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Relevance Lab helps Organizations to build & adopt AWS Best Practices.
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Using GIT configuration management integration in Application Development to achieve higher velocity and quality when releasing value-added features and product.
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Optimizing network connectivity model using AWS VPC and services.
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Overview of Relevance Lab’s Social Distancing Policies in post Covid 19 Pandemic.
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Open Source DevOps Vendor Chef Launches Its First Channel Program.  Click here for the full  story.

Developing an integrated solution for enterprises to enable Frictionless User Onboarding and Offboarding in these challenging times of COVID-19.  Click here for the full  story.

Shifting toward” New Frictionless Enterprise “ through Intelligent Automation.  Click here for the full  story.

ServiceOne Patch Management Solution is a fully integrated solution with Patching, Backup & recovery.  Click here for the full  story.

RLCatalyst provides an Open Architecture approach to interconnect various systems, applications, and processes similar to the “Enterprise Service Bus” mode.  Click here for the full  story.

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"RLCatalyst, an Intelligent DevOps product, is now available on the Microsoft Azure Marketplace. Microsoft Azure has a growing momentum with enterprise cloud adoptions and RL Catalyst provides Cloud Governance, Capacity & Costs Tracking, Automation Engine and Intelligent Monitoring for both IAAS and PAAS resources on Azure. It has support for ARM templates to provision complex infrastructure with 1-Click options and manage ongoing configuration updates with Chef. A number of enterprises are using Azure to move both Microsoft and non-Microsoft workloads with a need to automate lifecycle of Infrastructure, Applications and Service Delivery . Relevance Lab is working closely with Azure teams on accelerating adoption of Azure and jump-start DevOps adoption with this new marketplace presence. Relevance Lab also provides On-boarding and Consulting Services for consuming "Azure resources the Right-Way with Intelligent DevOps using RL Catalyst". Download RLCatalyst from the Microsoft Azure Marketplace."

With increased thrust from Google to gain market share in the public cloud space, GCP is being recognized as amongst the top 3 Cloud players. There is early traction with few of our large customers using GCP for their workloads and Big Data needs. As enterprises rapidly move workloads to Cloud it is important to have a Hybrid-Cloud management strategy and ability to have workloads migration across providers. RL Catalyst helps manage Cloud management and on-going governance effectively for Capacity, Costs, Usage, CMDB and Health monitoring based on an Intelligent "Self-Aware Element" concept for Infrastructure, Applications and Services.

The new release enables Technology Companies and Large Enterprises achieve Software Defined "Infrastructure + Applications + Services" Automation and Optimization in Hybrid Cloud environments with Actionable Monitoring.. RLCatalyst embeds intelligence of a "Self-Aware ElemEent" as part of adopting Software Defined Automation concepts.The Open Source model allows extensibility as a framework to build "DevOps and IT Ops Solutions" for Capacity Optimization, Software Assets Compliance, Proactive Diagnostics, IT Ops Service Delivery Automation and Actionable Intelligence in Production Systems. RLCatalyst Open Source model will drive rapid adoption and co-creation of "DevOps and IT Ops Solutions" with community collaboration. This provides a good framework to bring disparate internal Development and Operations tools into an integrated solution. With support for various commonly used CI/CD tools, Monitoring tools and leading Cloud Providers, it can be easily plugged into the existing environments of organizations for using it as a single console Command and Control Centre for DevOps and ITOps Management.

A number of large enterprises and ISVs are facing challenges and need significant investments in creating internal DevOps and Cloud Management frameworks with custom integrations and hybrid context. These are pre-requisites in a journey towards faster software deliveries, better quality across hybrid platforms, proactive production operations management and optimized capacity + cost management in dynamic Cloud environments. RLCatalyst built on the new generation architecture and technologies can be leveraged as the "Foundation Framework" for accelerated DevOps Maturity and using Cloud Computing the "Right-Way". The framework can help transition to a "Software Defined Everything" context rapidly with out of box support for Infrastructure, Applications and Services to be Managed, Self-Aware and Intelligent. As organizations deal with a higher density of connected devices, automated tool-chains and actionable monitoring needs, RLCatalyst can provide the competitive advantage of Automation, Optimization and Intelligent DevOps Solutions.

The Enterprise adoption of Cloud and DevOps is growing exponentially and RLCatalyst is helping bring standardization, compliance and velocity in dealing with Infrastructure, Applications and Service Delivery. With a unique concept of "Self-Aware" RLCatalyst brings intelligence into DevOps by combining the power of "Role based Configuration Management" and "Actionable Monitoring" in Hybrid Cloud systems. With RLCatalyst enterprises can get up and running with a Managed Infrastructure and Software Defined maturity in less than two weeks with coverage for Bare metal, VMware, OpenStack, Containers, Public Cloud providers and Standard Application stacks. RLCatalyst is soon being launched on AWS and Azure Marketplaces for customers to speed up Cloud Migration and DevOps Driven Cloud Governance.

This can help an Enterprise in the Cloud adoption journey by facilitating Managed Service Operations Transformation and Cloud Governance. Large enterprises with distributed assets across Data centers and Public Cloud can benefit from extending their ITIL processes with DevOps benefits in areas of better Incident Management, Problem Resolution, Change Management, Configuration Management and programmed CMDB. Traditional approaches of people and process heavy models are being transformed by systems, automation, diagnostics and remediation. Our maturity model can guide a larger enterprise in transition to a Managed Infrastructure, End-to-end Release Management and Faster Applications Support with higher Service Delivery satisfaction levels.

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