Multi-Cloud Serverless Computing & FaaS Architectures for Resilient and Cost-Efficient Systems
DOI:
https://doi.org/10.56472/WCAI25-144Keywords:
Multi-Cloud Computing, Serverless Computing, Function-as-a-Service (FaaS), Virtual Serverless Provider (VSP), AWS Lambda, Azure Functions, Google Cloud Functions, Cloud Orchestration, Event Bridge, Scheduler, CloudEvents, Cost Optimization, Free Tier Utilization, Pricing Arbitrage, Cloud Portability, Vendor Lock-In, Cold Start Latency, Performance Overhead, Observability, OpenTelemetry, Debugging, Identity Federation, Security, Compliance, GDPR, Digital Operational Resilience Act (DORA), Data Residency, Fault Tolerance, Active-Active Deployment, Disaster Recovery, DNS Failover, Global Load Balancing, Service Mesh, Edge Computing, AI-based Optimization, WebAssembly (WASM), Knative, OpenWhisk, Kubernetes, Infrastructure as Code, Terraform, Serverless Framework, Monitoring, Logging, Elastic Stack, Datadog, Open Policy Agent (OPA), CloudEvents Standard, FinTech Applications, Payment Systems, Trading Platforms, Open Banking, Fraud Detection, Cost-Efficient Architectures, Scalability, Reliability, Governance, Future TrendsAbstract
The multi-cloud serverless computing involves the placement of Function-as-a-Service (FaaS) workloads with different cloud providers to increase system resilience and a cost-optimized environment. This paper will give a detailed summary of multi-cloud serverless architecture, its motivations, design, and challenges as well as its future. We explain how several clouds can help eliminate the risks of vendor lock-in and provider outages (which is a top issue in such high-availability and compliance-driven industries as fintech). The Introduction includes the description of the relevance of multi-cloud FaaS and the current specific drivers, including the resilience of operations and cost reduction. Literature Review investigates the research available about the serverless methodology and multi-cloud access strategies further demonstrating the tradeoffs regarding performance and economics. An Architectural Overview explains the design of multi-cloud FaaS platform architectures and the aspect of orchestration layers that helps achieve interoperability between AWS Lambda, Azure Functions, Google Cloud Functions and others. We explore some of the Key Challenges such as cold starts, performance overhead, observability, security, and regulatory compliance of multi-cloud deployment. Cost Optimization Strategies are discussed with reference to the pricing strategies at major providers and the methods to cut the cost with the maximum fault tolerance. Resilience and Fault-Tolerance patterns are then discussed including active-active deployments and distributed failover across clouds. Case Studies on fintech present another demonstration of how multi-cloud serverless enhances compliance and reliability in payment systems. Last but not least, we can point out where Future Directions developing in the form of edge computing and AI-based optimizations or open-source FaaS frameworks will influence the next wave of resilient and cost-effective multi cloud serverless platforms.
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References
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