Legacy Application Modernization
A
- Agent-Oriented Architecture
- Agentic AI Alignment
- Agentic AI for Customer Engagement
- Agentic AI for Decision Support
- Agentic AI for Knowledge Management
- Agentic AI for Predictive Operations
- Agentic AI for Process Optimization
- Agentic AI for Workflow Automation
- Agentic AI Safety
- Agentic AI Strategy
- Agile Development
- Agile Development Methodology
- AI Actionability Layer
- AI Adoption & Strategy
- AI Adoption Framework
- AI Adoption Plans with Milestones
- AI Adoption Process
- AI Adoption Strategies with KPIs
- AI Agents for IT Service Management
- AI Applications
- AI Bias
- AI Change Management
- AI for Compliance Monitoring
- AI for Customer Sentiment Analysis
- AI for Demand Forecasting
- AI for Edge Computing (Edge AI)
- AI for Energy Consumption Optimization
- AI for Predictive Analytics
- AI for Predictive Maintenance
- AI for Real Time Risk Monitoring
- AI for Telecom Network Optimization
- AI Governance
- AI Governance Frameworks
- AI Implementation Approach
- AI Implementation Methodology
- AI in Cybersecurity
- AI in Education
- AI in Entertainment
- AI in Finance
- AI in Healthcare
- AI in Manufacturing
- AI in Marketing
- AI in Public Sector Service Delivery
- AI in Transportation
- AI Orchestration
- AI Performance Measurement (KPIs, ROI)
- AI Policy
- AI Research
- AI Risk Management Practices
- AI Safety
- AI Scalability Frameworks
- AI Strategy Alignment with Business Goals
- AI Thought Leadership
- AI Use-Case Discovery
- AI Use-Case Prioritization
- AI-Driven Business Transformation
- AI-driven cloud-native transformations
- AI-Driven Cybersecurity Solutions
- AI-driven Process Automation
- AI-Driven Supply Chain Optimization
- AI/ML
- Algorithm
- API Integration
- API Management
- Application Modernization
- Applied & GenAI
- Artificial Intelligence
- Artificial Neural Network
- Augmented Reality
- Autonomous AI Agents
- Autonomous Systems
B
C
D
E
F
G
H
I
L
M
N
P
Q
R
S
T
V
W
What is Legacy Application Modernization?
Legacy Application Modernization is the process of updating and transforming outdated enterprise applications to align with modern technologies, architectures, and business needs. At Xebia, this involves assessing legacy systems and applying strategies such as rehosting, refactoring, rearchitecting, or rebuilding often transitioning to microservices, cloud-native platforms, or API-first models. The goal is to enhance performance, scalability, security, and user experience while reducing technical debt. Xebia enables organizations to unlock innovation, improve time-to-market, and support future-ready digital ecosystems by breathing new life into critical but aging software systems.
What are the Key Benefits of Legacy Application Modernization?
- Reduced maintenance costs and technical debt
- Improved performance, reliability, and security
- Easier integration with modern tools and platforms
- Enhanced user experience and scalability
- Increased agility to respond to business changes
What Are Some Use Cases of Legacy Application Modernization at Xebia?
- Migrating monolithic apps to microservices in the cloud
- Replatforming on-premise systems to cloud-native environments
- Refactoring legacy codebases to align with DevOps practices
- Enhancing outdated UIs with responsive, modern interfaces
- Modernizing core banking, insurance, or ERP applications
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