Category: Migration & Transfer Services

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.

Vcinity’s data movement and remote data access solutions enable enterprises to build continuous data pipelines that provide secure, performant access to distributed data. By extending high-speed networking protocols over wide area networks, Vcinity allows AWS services to operate on remote data as if it were local, reducing data transfer costs and latency. This enables real-time analytics, AI/ML model training, cloud migrations, and other use cases.

Crayon’s customizable landing zone accelerator automates setup of a secure, scalable AWS environment aligned to best practices. It establishes foundational accounts, applies baseline security controls, and integrates AWS services across the organization to drive cloud adoption for companies migrating to AWS while also improving governance for existing customers. Crayon guides customers through the landing zone build and subsequent workload migration, providing automation kits to speed deployments.

Many AWS customers using SQL Server for analytics seek to migrate to Amazon QuickSight, a cloud-native business intelligence that provides interactive dashboards and charts unmatched by SQL Server Reporting Services (SSRS). IPsense developed a tool to accelerate migrating SSRS reports to QuickSight which automates converting SSRS queries and stored procedures into AWS Glue jobs that populate a cloud data lake.

A global technology firm migrated its massive on-premises Apache Hadoop data center to Amazon EMR and achieved major cost savings and capabilities. By deploying Pepperdata’s optimization software, which works in real-time to maximize resource utilization, the firm achieved nearly 25% additional cost reduction on top of its Amazon EMR savings, without any code changes or manual tuning. Learn how Pepperdata Capacity Optimizer rapidly identifies existing nodes where more jobs could be completed.