STAR*M: AI Powered Distributed Workload Modernization Suite

Description

Accelerate your legacy modernization journey with mLogica STAR*M, an AI-powered suite designed to migrate and refactor legacy distributed databases and applications to cloud-native environments with speed, precision, and cost efficiency.

Whether moving from Teradata, Sybase, Informix, Oracle, CockroachDB, Db2, or Netezza, STAR*M’s advanced automation engine delivers predictable outcomes, reduced risk, and faster time to value empowering enterprises to innovate securely on Azure.

Overview

Move Your Legacy to the Cloud—Smarter, Faster, Safer

Aging legacy systems limit innovation and scalability. STAR*M modernization suite turns this challenge into an opportunity by enabling automated modernization of platforms, databases, and applications to Azure.

Using advanced machine learning, STAR*M translates and refactors legacy code into modern architectures accurately reducing errors, risk, and costs while accelerating time to market.

Leverage AI-Driven Automation

Manual migrations often cause delays and errors. STAR*M replaces repetitive tasks with AI-assisted refactoring and intelligent validation for efficiency and repeatability.

• Manual migrations are six times more likely to fail due to human error and time overruns.
• STAR*M AI-driven automation reduces human error rates by up to 90% while improving performance and maintainability..

Through reinforcement learning algorithms, STAR*M continuously optimizes migration accuracy, capturing insights from each iteration to enhance future conversions.

Automation: Reduce Errors, Risk, and Cost

Built on decades of modernization experience, STAR*M leverages machine learning, rule-based automation, and iterative refactoring to handle the most complex, mission-critical workloads with ease. As legacy platforms age, maintenance costs and risks rise exponentially. STAR*M delivers a proven, low-risk modernization path enabling rapid, repeatable migrations to Azure.

mLogica’s global modernization experts combine this automation with proven methodologies and delivery excellence, helping customers realize cost savings, operational resilience, and modernization agility.

Strategizing Your Cloud Migration

STAR*M supports phased and end-to-end migration approaches, ensuring business continuity while modernizing at your own pace.

mLogica designs cloud modernization roadmaps that reduce risk, maximize ROI, and leverage the full power of cloud scalability, analytics, and AI.

Operating on outdated legacy systems is the biggest risk. With STAR*M, transform that risk into a secure, cost-effective, and future-proof digital foundation.

STAR*M Covers All Source-to-Target Paths Below and Beyond

Source Databases: Oracle, Teradata, Db2, Sybase, Netezza, Informix, CockroachDB, Ingres, Snowflake, MongoDB

Target Databases: SQL Server Database (On-premise), Azure SQL Database, Azure SQL Managed Instance, Azure Database for PostgreSQL, Azure SQL Database Hyperscale, SQL Server on Azure VMs, Azure Database for MySQL, Azure Database for MariaDB

STAR*M provides enterprises a unified platform to accelerate database migration, streamline application remediation, and achieve secure, future-ready cloud modernization with minimal risk and maximum ROI.