Application Migration

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The document outlines the key steps for assessing and executing an application migration including inventorying current applications, defining a migration strategy and roadmap, redesigning architectures and business norms, deploying in beta and parallel testing, validating through independent testing, developing new data models and classes, regression and unit testing, and finally migrating the application and data to the new target platform.

Technology Business

Migrating applications to the cloud requires both a sound strategy and a clear understanding of technical considerations. In addition, you will want to ensure portability between clouds to avoid lock-in. This session will define strategic approaches to cloud migration and how to assess application suitability for migration. In this webinar we cover the following: 1. Three common strategies to guide your migration decisions 2. Evaluating cloud-readiness of your application portfolio 3. Twelve technical considerations when migrating applications to cloud 4. Six use cases for cloud portability 5. Ensuring portability between AWS, Azure, Google, OpenStack, VMware vSphere and other clouds

Application Migration - What, When, Why, How?

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Where to Begin? Application Portfolio Migration - Miha Kralj, Principal Consultant, AWS Application portfolio assessment is a technique used at the beginning of enterprise application migration process. It helps migration team to gather, analyse and understand their app portfolio before deciding on priorities and sequences of application migration. This session will present the app assessment process, the most common migration strategies and tools, and the placement of application portfolio migration in a complete IT Transformation process.

TRASYS Testing As A Service

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TAAS is a model of software testing whereby TRASYS undertakes the activity of testing applications & solutions for our customers as a service with following traits: On-demand services service delivery function & service governance Well-defined & repeatable services (service catalogue, RACI, entry & exit criteria, ) Outsouring using a shared service centre Pay per use (based on test effort estimation techniques) Well defined test process & methodology Professional / certified test resources Supported by (cloud based and virtualised) test tools & test environments

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Application Management Services

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GSS America extends support for Application Development and Maintenance initiatives and helps customers focus on their strategic priorities. The cost effective AMS solutions from GSS ensures that customers achieve significant savings on running their business operations, so that they can channel these savings towards new product development initiatives that contribute to additional revenue generation.

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Leveraging HPE ALM & QuerySurge to test HPE Vertica

RTTS

Are you using HPE ALM or Quality Center (QC) for your requirements gathering and test management? RTTS, an alliance partner of HPE and a member of HPE’s Big Data community, can show you how to use ALM/QC and RTTS’ QuerySurge to effectively manage your data validation & testing of Vertica (or any data warehouse). In this webinar video you will see: - a custom view of ALM to store source-to-target mappings - data validation tests in QuerySurge - the execution of QuerySurge tests from ALM - the results of data validation tests stored in ALM - custom ALM reports that show data validation coverage of Vertica how we improve your data quality while reducing your costs & risks Presented by: Bill Hayduk, Founder & CEO of RTTS, the developers of QuerySurge Chris Thompson, Senior Domain Expert, Big Data testing To learn more about QuerySurge, visit www.QuerySurge.com

Automate Your Software Development Life Cycle Using the Right Tools

Info-Tech Research Group

Digitize your repetitive development processes to gain additional productivity and improve quality and costs. Your Challenge IT is increasingly under pressure to release applications quickly, reduce development, operations, and maintenance costs, while remaining relevant to business objectives. Using a purely manual software development process can be useful when starting out and processes are not yet concrete. At a certain point, you will hit scalability limits around traceability and throughput. This will affect overall product quality. Tests will increase over time as applications become larger and more complex, causing testing capacities to reach an upper bound slowing testing throughout. The urgency of release to market means a product may not be fully tested. Our Advice Critical Insight Focus on instrumentation and integration when implementing your automated application development (AAD) tools to reduce maintenance costs, increase product quality, and improve project productivity. Instrumentation focuses on your tool’s execution, and integration refers to the movement and acceptance of development artifacts. Don't try to automate if you don't have a good foundation based on quality and traceability first. Otherwise automation will make matters worse by amplifying gaps in your foundation. Assess your current development process for people, process, and technology gaps before deciding to implement AAD. Impact and Result Realize significant savings over time by reducing repetitive effort devoted to developing, testing, deploying, and maintaining applications. Free up time to proactively optimize processes and tools or to take on innovation projects to help boost business initiatives. Innovation, a historically nice-to-have, can now be an integrated part of IT directives and mantras. IT and the business can accurately measure the success of the development, testing, and deployment of the application to determine the need for future optimization projects to further reduce costs and improve productivity.

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