Scarlet
Millions of customers, including some of the fastest-growing start-ups and large enterprises, use AWS to lower costs, become more agile, and innovate faster. As an AWS Premier Consulting Partner, LTIMindtree delivers leading-edge solutions through expertise platform modernization, data modernization, and data governance.
Our top-notch services are complemented by Scarlet, our very own platform that accelerates the AWS cloud journey. It features a set of tools for data extraction, data transformation, and storage on the AWS platform. It also creates script-based infra on AWS and migrates technology-tied functions, such as stored procedures, to cloud-compatible functions.
Scarlet leverages AWS services on demand for cost-optimized and efficient usage and scalable computing and storage. It is designed to accelerate the AWS cloud journey from on-premises to the cloud as well as greenfield projects. The set of accelerators utilized by Scarlet automates processes, reduces manual intervention, and optimizes cost. It can migrate data and underlying scripts to create a combination of data warehouse and data mart, for consumption by appropriate downstream systems, including leading BI tools.
Our Framework
The platform provides a complete framework that facilitates automated migration, greenfield development,
and post-migration governance to adopt the AWS cloud quickly and seamlessly.
Modernization
Expedite your AWS cloud journey with soup-to-nuts automation using LTIMindtree’s Scarlet, creating necessary AWS infra and end-to-end data transformation. The modernization journey is aided by –
- Data Extractor – Extract data from the most widely used commercial and open-source databases seamlessly.
- Object Converter – Convert database stored procedures and functions to Python-based Spark ETL jobs.
- ETL Migrator – Migrate legacy ETL jobs created using licensed products to open-source frameworks with a code migration approach.
- Data Validator – Reconcile data between the source and the target database during migration.
- Dependency Analyzer – Scan database and map dependency for source objects.
Greenfield Development
Create necessary infrastructure and build new applications from scratch with an automation-first approach. There is an option of using a combination of custom development and native AWS services.
- Smart Architekt – This tool runs in alignment with the AWS Well-Architected Framework – operational excellence pillar. It automates infrastructure provisioning using Infrastructure as Code (IaC) and makes it more user-friendly with its simple UI interface/Config file features.
Data Mesh
It is a holistic framework to assess the current state of the enterprise IT, garner the vision of the organization, identify the gaps, and lay out a blueprint for a data-domain-oriented decentralized organization. The Data Mesh features a Data Marketplace, which helps monetize the data by leveraging data products created by domain owners.
Governance
Transform and modernize the data and analytics value chain using Glide-Redshift FinOps, which monitors and optimizes costs and performance of database clusters.
Redshift Cluster Stats | Cost Monitoring | Workload Management | Data Sharing | User Management | Performance Analysis
Benefits of the framework
Seamless migration:
Migrates databases to AWS faster, with reduced downtime, allowing the source database to be mostly operational during the migration process.
Data Democratization:
Transforms the existing data landscape into a more accessible, controlled, flexible, and secure landscape.
Development time:
Reduces the time taken for a cloud adoption journey and creates a modular, reusable code.
Cost:
Uses services on demand to facilitate pay-as-per-use.
A high volume of data:
Handles enormous amounts of data with optimized tools.
Trusted migration:
Reports the multi-level parent-child dependency tree between the database objects.
