Category: Migration

Many vendors, services, and resources are available to migrate one or two applications at a time, but most struggle to migrate a large number of applications with the same skill level and outcomes. A tool that provided effective application discovery and containerization for a large number of apps was missing. CloudHedge’s automated discovery, containerization, and deployment tools can reduce the time and effort required to transform large numbers of monolithic, on-premises Windows applications to cloud-native services running on AWS.

Running Hadoop, Spark, and related technologies in the cloud provides the flexibility required by these distributed systems. Cazena provides a production-ready, continuously optimized and secured Data Lake as a Service with multiple features that enables migration of Hadoop and Spark analytics workloads to AWS without the need for specialized skills. Learn how Cazena makes it easy to migrate to AWS while ensuring your data is as secure on the cloud as it is on-premises.

If you’re upgrading from Windows Server 2008 because it’s no longer supported by Microsoft, and you’re thinking about migrating some of your workloads to the cloud, consider doing both at the same time. RiverMeadow migrates your workloads to AWS and upgrades from Windows 2008 to the latest version, or a version in between. Currently, RiverMeadow offers the in-place OS upgrade for Windows 2003 and up, and allows customers to upgrade to 2008, 2016, or 2019 versions of Windows.

Many organizations will find the migration to S/4HANA in the cloud to be as transformative as their initial adoption of enterprise resource planning (ERP) software. Choosing trusted providers that understand both your business needs and technology environment is the shortest path to value. Deloitte’s collaboration with AWS helps clients accelerate their ability to achieve digital transformation and powerful insights-based outcomes with SAP S/4HANA and the SAP HANA platform.

Mainframe workloads are often tightly-coupled legacy monoliths with millions of lines of code, and customers want to modernize them for business agility. Manually rewriting a legacy application for a cloud-native architecture requires lots of re-engineering. See how AWS Blu Age transformed a typical mainframe CICS application to AWS containers and AWS Lambda functions. You’ll also learn how to increase mainframe workload agility with refactoring to serverless and containers.

Considering the complexity involved in a cloud migration project, arriving at the decision to migrate one’s company to the public cloud is not always easy. Total Cost of Ownership (TCO) is a key factor in getting to a directional decision. CloudChomp’s migration assessment tool, CC Analyzer, provides a flexible and comprehensive platform that does the heavy lifting in terms of data collection, right-sizing, and target recommendations, while at the same time providing ample flexibility to account for special cases.

Migrating customer workloads to the AWS Cloud typically comprises several phases: migration readiness assessment, migration planning, the actual migration of applications, and post-migration application optimization. Application profiling is a class of technology for guiding customers across migration phases from end to end. Datadog’s application profiling solution provides cross-platform visibility by collecting, aggregating, and visualizing data from on-premises and cloud environments.

Large mainframes have challenging non-functional requirements in order to process large volumes of data and users for core-business workloads. Micro Focus Enterprise Server mainframe capabilities, combined with AWS global infrastructure, provide the quality of service required by large applications. With this solution, enterprises and public institutions deploy mainframe workloads on AWS with high security, high availability, elasticity, and robust system management.

Some Oracle workloads, such as Oracle Real Application Cluster (RAC) or WebLogic application clusters, have specific networking and storage requirements, which can be met with VMware Cloud on AWS. This post details the various considerations and migration options users have for Oracle workloads. Specifically, we examine in-depth how to migrate an Oracle database from an on-premises environment to AWS using AWS Database Migration Service (AWS DMS).

While many are aware of the benefits of transitioning applications or workloads to the AWS Cloud, many IT decision makers (ITDM) are not familiar with the more transformative route a company takes when migrating its business to the cloud, or the factors that motivate leaders to choose this approach. Learn about the increasingly popular transformational route and dive deep on what motivates organizations to take this path.