Decades of undocumented code and complex dependencies make mainframe to cloud migration services a high-stakes IT initiative. We decrease this risk by presenting flexible migration pathways. Whether you want a complete exit from the data center or seek a hybrid coexistence model, our services guarantee business continuity while removing high licensing costs.
Selecting the correct modernization pathway is important. We guide enterprises through the Replatform vs Refactor decision. Replatforming, or emulation, moves your existing COBOL/PL1 code onto cloud-based mainframe emulators for fast MIPS cost lowering. Refactoring translates legacy code into object-oriented languages like Java or C#, restructuring the application into cloud-native microservices for maximum long-term agility.
If you are not ready for a full mainframe to cloud migration, we solve the challenge of how to connect the cloud in mainframe applications without immediately rewriting the foundation. Our mainframe API enablement plan accesses isolated data by wrapping CICS transactions and DB2/VSAM data in secure RESTful APIs. This allows your new web and mobile applications to interact with the legacy mainframe in real-time, allowing fast digital transformation while the long-term migration happens in the background.
Accelerate your transition to Amazon Web Services. We specialize in mainframe to cloud migration services in IBM Z to AWS, utilizing proven frameworks like AWS Mainframe Modernization. For refactoring initiatives, we utilize AWS COBOL to Java migration tools like AWS Blu Age to automate code translation, decoupling legacy dependencies and deploying modern Java spring boot applications natively onto Amazon EKS or EC2.
Move your legacy workloads directly into the Microsoft ecosystem. We execute Mainframe to Azure cloud migrations by connecting with Azure Logic Apps and deploying re-hosted workloads onto Azure Virtual Machines using advanced emulation software. We also translate hierarchical data structures into Azure SQL Database or Cosmos DB, bringing modern BI and analytics with our mainframe to cloud migration services to legacy data.
Migrate mainframe to cloud using Google Cloud advanced data and AI ecosystem. We utilize technologies like Google Cloud Dual Run to guarantee parallel processing between the mainframe and GCP during the transition, guaranteeing zero downtime and complete data fidelity before the final cutover is executed.
Entrans changes how teams handle mainframe modernization by using agentic AI to break down millions of lines of legacy code and surface what actually matters first. Instead of a slow, all-at-once overhaul, we build a phased roadmap that tackles high-impact technical debt from day one. By training secure, enterprise-grade LLMs on your codebase, Entrans turns outdated COBOL or RPG logic into clean, production-ready Java or C#.
Every successful modernization starts with detailed analysis. Our mainframe to cloud migration services map out your entire legacy estate, analyzing millions of lines of code, identifying unused code, and mapping application-to-database dependencies. We then deliver a phased migration roadmap that prioritizes workloads based on business value and technical complexity.
We dramatically accelerate code comprehension and translation using AI coding assistants for mainframe-to-cloud integration. By training secure, enterprise-grade LLMs on your specific legacy codebase, we automate the documentation of undocumented COBOL/RPG logic and assist our engineers in generating highly accurate Java or C# equivalents, decreasing manual rewriting efforts by up to 60 percent.
Migrating JCL and legacy schedulers is notoriously complex. We handle end-to-end batch job migration from mainframe to cloud, translating legacy batch processes into modern, event-driven serverless architectures like AWS Lambda or Azure Functions, or mapping them to cloud-native orchestrators like Apache Airflow and AWS Step Functions.
Accessing mainframe data is a top priority. We safely extract and translate data from rigid hierarchical databases like IMS and indexed files like VSAM into modern relational databases like PostgreSQL and SQL Server or NoSQL databases. We guarantee transactional integrity and zero data loss during the transition.
Our mainframe to cloud migration services map legacy security protocols like RACF, ACF2, and Top Secret into modern, cloud-native Identity and Access Management frameworks. We apply zero-trust architectures, guaranteeing your workloads are more secure in the cloud than they were in the basement data center.
We deploy autonomous AI testing agents that automatically generate and execute thousands of test cases, comparing legacy mainframe outputs against the newly refactored cloud microservices. This agentic workflow in our mainframe to cloud migration services drastically reduces manual QA cycles, validates complex edge cases, and guarantees zero regression before your final cutover.
We deliver a structured, multi-disciplinary approach to mainframe-to-cloud migration, designed to maximize business value and remove technical debt.
Our experts use automated tools to refactor COBOL and PL1 into Java or C#. We decouple monolithic apps into granular microservices deployed on Kubernetes (EKS/AKS/GKE). This transition ensures massive scalability, faster time-to-market, and a modern, agile engineering culture.
We create seamless interfaces between cloud systems and mainframes. By wrapping legacy logic (CICS, DB2, VSAM) in secure RESTful APIs, we enable modern user experiences during phased migrations. This ensures uninterrupted operations while launching new digital workflows immediately.
We manage the complex transition of legacy data (IMS/VSAM) into modern relational (PostgreSQL) and NoSQL databases. Our landing zones prioritize integrity and real-time processing, facilitating data movement into warehouses like Snowflake for advanced cloud-based analytics.
We bridge the skills gap by up-skilling your mainframe talent in cloud-native technologies. Our consultants transform COBOL and JCL specialists into cloud architects, capturing vital undocumented knowledge to ensure your team thrives in the new environment.
Replatforming moves your existing COBOL code to a cloud environment using emulator software. It is faster and delivers quick cost savings. Refactoring translates the COBOL code into a modern language like Java or C#. It takes longer but delivers true cloud-native agility and solves the issue of retiring legacy developer skill sets.
Batch job migration from mainframe to cloud requires analyzing your JCL scripts and legacy schedulers like Control-M or AutoSys. Our mainframe to cloud migration services map these processes to modern cloud orchestrators, often redesigning monolithic overnight batch jobs into smaller, real-time event-driven microservices for faster processing.
Through our Mainframe API Enablement Plan, our mainframe to cloud migration services extract logic from the mainframe. We build RESTful APIs that sit on top of your legacy systems, allowing your new cloud-native mobile and web apps to securely read and write data to the mainframe in real-time, without disrupting existing base operations.
AI coding assistants are strong accelerators for mainframe-to-cloud connection, but they require human oversight. Our mainframe to cloud migration services use enterprise-grade LLMs to map dependencies and generate baseline Java code, but our experienced engineers rigorously review, optimize, and test all AI-generated code to guarantee business logic fidelity and security.
In our mainframe to cloud migration services, we utilize phased cutover plans and Dual Run methodologies, where the legacy mainframe and the new cloud environment run parallel processing in real-time. We only decommission the mainframe once complete data and transactional parity is proven in the cloud environment.
