Purpose built app modernization platform and tools to support strategy through to implementation.
About InCycle Accelerators: Since 2002 we have delivered 1000s of projects and our team of software experts, Microsoft MVPs and Cloud Architects, have developed countless Accelerators (i.e., apps, reusable code, snippets, scripts, tasks, frameworks etc.), that support app modernization, modern development and cloud adoption. The purpose of these accelerators is share our experience, industry best practices and accelerate customer success.
DIGITAL TRANSFORMATION
In today's fast moving market dynamics, effective cloud adoption is key to a successful digital transformation and business growth. Increasingly, customers are updating older software for newer computing approaches, frameworks and infrastructure platforms. This practice is called application modernization and it means taking an existing application in its current form (most likely, legacy and monolithic) and transforming it into something that is more agile, elastic, highly available and in the cloud. Desired app modernization results include, reduced costs, enriched customer experiences, enhanced productivity, improved security and increased business agility. Transforming a business into a modern enterprise is is both strategic and challenging. To that end, InCycle offers a series of app modernization accelerators to help customers navigate portfolio and modernizations initiatives.
Portfolio & App Modernization Accelerators:
- Preparation & Planning (context and environment)
- Modernization Strategy (portfolio & app/workload)
- Innovation/Modernization (project plan, backlogs, landing zones, and other artifacts)
- Portfolio/App Optimization (dashboards, KPIs, recommendations etc.)
Core Accelerators:
- Resource Group
- App Plan
- App Service
- Application Insights
- Cosmos Document DB
Advanced Accelerators:
- Azure SQL - Logical Server
- Azure SQL - Database
- Azure SQL - Elastic Pools
- Azure App Service Configuration
- Redis Cache
Data Accelerators
- Data Ingestion
- Data Preparation
- Data Transformation
- Data Publishing
- Data Consumption