Category: Migration & Transfer Services

As organizations migrate applications to the cloud, they need tools to assess application portfolios for cloud readiness. CAST Highlight provides automated analysis of custom applications, identifying issues like outdated code, cloud migration blockers, and opportunities for cloud-native services. By integrating with AWS Migration Hub Journeys, CAST offers a template to orchestrate analysis of large portfolios across teams to accelerate cloud migration and modernization initiatives.

Deloitte and AWS have expanded their collaboration to help organizations worldwide migrate to the cloud. Deloitte will invest in AWS Centers of Excellence, hiring over 800 AWS specialists across Sub-Saharan Africa, Spain, and Central Europe, providing cloud consulting, training, innovation labs, and managed services to empower digital transformations. This strategic agreement leverages Deloitte’s industry expertise and AWS’s leading cloud capabilities to overcome adoption barriers.

Enterprises are seeking mainframe modernization to drive efficiency, agility, and innovation. A Kyndryl survey revealed that 95% are migrating mainframe applications to the cloud, with 37% of workloads being relocated on average. Despite challenges like workforce shortage, businesses report increased profitability and millions in average annual savings through modernization. Kyndryl offers expertise, tools, and solutions to assist clients in navigating this complex journey seamlessly while enhancing operational efficiency.

Many enterprises still rely on the Adabas database and Natural programming language for critical workloads, facing rising license costs and a shrinking talent pool. To reduce reliance on these aging technologies and enable digital transformation, companies are modernizing to AWS with Advanced’s solutions. Advanced offers automated refactoring of Natural code to Java/C# and replatforming to execute Natural on Windows, along with migrating Adabas databases to modern relational databases.

Comprinno migrated a fitness app’s databases from Google Cloud to AWS to reduce costs. Challenges included migrating large PostgreSQL databases without downtime and accessing Google’s managed subnets. Comprinno established a VPN between clouds, used a SQL proxy to enable the AWS Database Migration Service, and parallelized data loading to meet the tight migration window. By moving to Graviton-based Amazon RDS, the customer reduced database costs by 30%.

Instinet is a SaaS-based solution that Ness Digital Engineering built on AWS for the trading and finance industry. It provides technologically advanced brokerage services and helps institutional investors improve performance by reducing complexity and costs. The solution modernized Instinet’s trade processing and solved challenges with Instinet’s previous on-premises, batch-driven architecture.

Many organizations want to migrate from legacy BI tools to Amazon QuickSight, but manual migration cab be costly. Wavicle’s QuickSight Migration Solution (QMS) automates and optimizes this process, analyzing existing dashboards, identifying duplication, automating conversion, and facilitating a seamless rollout. This reduces migration effort, costs, and risks so organizations can rapidly realize QuickSight’s self-service analytics, flexibility, and cost savings.

Traditional mainframe applications create data integration challenges when modernizing on the cloud. VirtualZ’s Lozen allows secure, real-time access to mainframe data from AWS without replication. This simplifies application migration while retaining the mainframe system of record. Lozen utilizes efficient data transformation and optimized protocols to improve performance, and is zIIP-eligible for additional cost savings.

Many organizations are migrating mainframe workloads to AWS to modernize applications and infrastructure. Mainframe batch jobs are business-critical, so AWS integrated its Mainframe Modernization service with BMC’s Control-M workflow orchestrator. Control-M automates and monitors batch jobs on-premises and in the cloud. This integration provides end-to-end visibility, prevents service degradation, and avoids missed SLAs.

As organizations modernize mainframe applications, integrating mainframe batch workloads into cloud environments is a key challenge. Stonebranch’s scheduler integrates with AWS Mainframe Modernization service to enable centralized, automated scheduling and monitoring of mainframe batch jobs on the cloud. This improves efficiency, optimizes costs, and accelerates mainframe modernization by enabling seamless workload orchestration across legacy and modern platforms.