Services

Architecture

Assessment of Azure Readiness

Workshop on
  • Azure Concepts
  • Business Benefits & on new Apps
Assessments on
  • Feasibility, Architecture, Service Evaluation using "Cloud Adoption Framework"
  • Cost using Azure Cost Calculator
Planning on
  • Business Benefit
  • Transition Planning
  • Business Case

Enterprise Azure Strategy & Roadmap Planning

Workshop on
  • Establish Scope & Approach
  • Set Strategic Vision
  • Identify & Prioritize Capabilities
Define
  • Opportunity & Priority
  • Business Transformation Roadmap
  • Well defined architecture using "Well-Architected Framework", "Workload Optimization"
Work to
  • Profile Capabilities
  • Recommend Deployment Pattern
  • Recommend Migration Approaches

Tools Selection for RAD

Analyze
  • Business and Technology needs
  • Migration needs
  • Cost-Benefit
  • Licensing, Upgrade & Support
Evaluate
  • Proof of Concept
  • Pilot
  • Due Diligence

PaaS Driven App Dev on Azure

  • Microservices and API Development on Azure - Development using Azure PaaS Services / configuration � e.g. Load Balancer, nodes (public / backend), IPaaS, Service Fabric and IaaS Vm�s.
  • Cognitive solutions e.g. with Azure Cogniti.ve, Bot, Machine Learning and Iot services
  • Serverless Application Development e.g. with Azure Functions, Batch etc..

Modernization and Migration to Azure

  • From Monolithic Applications with analysis, code redevelopment / reusability, enable revolutionary design with services like Azure Service fabric
  • Migration Pathways leveraging approaches to rehost, revise, replatform, refactor and rebuild

Data Migration

  • Migrate to SQL Azure using tools
  • Installation, configuration of SQL Server within Azure VM and migrate data there.
  • Installation, configuration of Respective DB Server within Azure VM and migrate data there.
  • No-SQL, Mongo DB etc.

Consulting and Advisory Services

  • Address integration challenges
  • Enhance the integration footprint
  • Enable Integration Blueprint and Roadmap
  • Architect for hybrid integration

Execution

  • End-to-end factory model for integration
  • Application Development on Integration workloads including API�s and related configuration / customization

Support

  • Maintenance services for scaling integration across the enterprise
  • Optimized operating model
  • Monitoring for continuous improvements

Continuous Integration

  • Centralized Version Control
  • Code Reviews and SCA
  • CI Pipeline Creation
  • Migration scripts execution
  • MSA and service fabrics
  • Manual Test planning
  • Automated unit testing
  • Telemetry Development
  • Adopt TTD practices

Continuous Deployment

  • Deployment scripts
  • On-demand Release Mgmt.
  • Deploy to Dockers
  • AKS Deployments
  • Establish DevOps Dashboards

Continuous Monitoring and Testing (with Improvements)

  • Test case creation - manual / automated
  • Manual, automated Test Execution and transformations in between
  • Extend pipeline to support 3rd party testing tools
  • Specialized testing � Performance, Web and service testing
  • Telemetry Report generation
  • Define DevOps goals, metrics, SLA
  • Metrics based Continuous Monitoring
  • Focus on Monitoring Areas - Dockers / Containers, Apps performance, DevOps Dashboards
  • Log management and Deployment Error tracking
For more information on our DevOps capabilities and Services please visit: ADvantage Azure DevOps

Data Estate Modernization

  • Data Strategy and Roadmap
  • Data Platform Implementation
    • Data Platform as Service
    • Data Engineering
    • Data Governance
    • Data Visualization
  • Guided Data Migration
    • SAP Data on Azure
    • On-Prem to Cloud Data Store
    • Micro-Service oriented Re-engineering
  • Hybrid Data Ecosystem
    • On-Prem & Cloud Coexistence
    • Multi-Cloud Coexistence
    • Enterprise Data Interchange
  • Industry aligned Data Management

Smart Analytics and AI

  • Analytics Strategy Consulting
  • AI Strategy Consulting
  • Data Science
    • Data Analysis
    • Predictive Analytics
    • Machine / Deep Learning
    • Data Visualization
  • Cognitive Computing
    • Conversional AI
    • NL & Smart Content and media Processing
    • Biometric Computing
    • Sentiment / Semantic Analysis
    • Cognitive Search
  • Voice Engineering & Other Advanced AI Services
  • Video Analytics and IPA

Citizen Computing

  • Low Code Strategy for Data & AI
  • Common Data Model and Common Data Service based Data Design and Setup
  • Self-Service ML using AI Builder
  • Low Code Conversational AI using Power Virtual Agent
For more information on our Data & AI capabilities and services please visit: http://adazdataai.azurewebsites.net/

Accelerators

Apps & DevOps

Case Studies

Artefacts