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- 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 Scalability Frameworks
- 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
- Algorithm
- API Integration
- API Management
- Application Modernization
- Applied & GenAI
- Artificial Intelligence
- Artificial Neural Network
- Augmented Reality
- Autonomous AI Agents
- Autonomous Systems
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C
D
E
F
G
H
I
L
M
N
P
Q
R
S
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V
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What are Modern Solution Architectures?
Modern Solution Architectures refer to the design principles, patterns, and technologies used to build scalable, resilient, agile, and cost-effective software systems tailored for cloud environments. This discipline emphasizes decoupling services, automating infrastructure, leveraging serverless computing, and ensuring systems can evolve quickly in response to business demands, moving away from monolithic, tightly coupled designs.
What are the Key Benefits of Modern Solution Architectures?
- Microservices: Designing applications as a collection of small, independent services, each running in its own process and communicating via lightweight mechanisms (like APIs). This enables independent deployment and technology choices per service.
- Serverless and Functions as a Service (FaaS): Utilizing cloud services (like AWS Lambda, Azure Functions) to run code without managing underlying infrastructure, reducing operational overhead and scaling costs automatically based on demand.
- Event-Driven Architecture (EDA): Designing systems where components communicate asynchronously through events (messages) using brokers (like Kafka or RabbitMQ). This creates highly decoupled, real-time, and resilient systems.
- DevOps and Infrastructure as Code (IaC): Automating infrastructure provisioning and management (using tools like Terraform or Pulumi) and integrating application delivery with continuous integration and continuous delivery (CI/CD) pipelines.
- API Gateway Management: Implementing a single, standardized entry point for all microservices, handling security, traffic routing, rate limiting, and monitoring.
- Observability: Ensuring the system can be easily understood in production by implementing comprehensive logging, metrics, and distributed tracing across all components.
What Are Some Use Cases of Modern Solution Architectures at Xebia?
Modern Solution Architectures are the foundation of Xebia's approach to cloud transformation and greenfield development:
- Cloud Migration and Modernization: Re-architecting large, legacy monolithic applications into smaller, independently deployable microservices running on a cloud platform (AWS, Azure, or Google Cloud) to achieve unprecedented scale and deployment speed.
- Real-Time Data Processing Platforms: Building event-driven architectures for financial services or e-commerce clients that need to process high volumes of transactions, inventory updates, or customer interactions instantly and reliably.
- SaaS Product Scaling: Designing highly scalable and cost-efficient serverless backends for Software as a Service (SaaS) products, allowing clients to serve millions of users without massive fixed infrastructure costs.
- Hybrid and Multi-Cloud Strategy: Developing architecture patterns that allow applications and data workloads to run seamlessly across on-premise data centers and multiple public clouds, ensuring vendor neutrality and maximizing resilience.
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