Serverless Architecture
We design and implement serverless architectures that eliminate the capacity planning overhead of traditional infrastructure, scale from zero to millions of concurrent executions without intervention, and convert fixed infrastructure costs into consumption-based expenditure that scales precisely with your business volume. Our serverless practice goes beyond deploying Lambda functions — we architect the event-driven systems, orchestration patterns, and observability infrastructure that make serverless viable for mission-critical enterprise workloads. Clients routinely achieve 60–80% infrastructure cost reductions for variable-load workloads after transitioning to serverless architectures.
70% cost reduction · Zero capacity planning
Event-Driven Architecture
Requests flow through triggers, execute in stateless functions, and produce outputs — all without managing servers.
Serverless Functions
Our approach
A structured methodology to deliver reliable, cost-efficient serverless systems.
Not every workload is appropriate for serverless execution. We analyse your workload characteristics — invocation frequency, execution duration, latency requirements, and state management needs — to produce a written recommendation with cost and performance projections for serverless versus container-based alternatives.
We design the event topology — producers, brokers (EventBridge, SNS, Kafka), and consumers — with explicit guarantees around at-least-once delivery, idempotency, and dead-letter queue handling. Event schemas are defined and versioned to prevent the silent integration failures that plague poorly governed event-driven systems.
Functions are implemented with cold-start optimisation techniques: provisioned concurrency where latency SLOs demand it, dependency bundling minimisation, and connection pooling via RDS Proxy for database workloads. Each function has a defined maximum duration, memory allocation, and timeout policy.
Complex multi-step workflows are orchestrated using AWS Step Functions, Azure Durable Functions, or Google Cloud Workflows — providing visual execution graphs, retry policies, and compensation transactions that make long-running business processes manageable and auditable.
Distributed tracing with AWS X-Ray, Azure Application Insights, or OpenTelemetry instruments every function invocation. Per-function cost attribution, concurrency dashboards, and anomaly detection alerts are configured to prevent runaway spend from infinite retry loops or traffic spikes.
Serverless is frequently misunderstood at the executive level as a cost play — and while the consumption economics are compelling, the more significant advantage for enterprise organisations is the elimination of undifferentiated infrastructure management that absorbs engineering capacity without generating business value.
A serverless architecture removes the fleet management, patching, and capacity planning burden from your engineering teams, allowing them to focus entirely on the business logic that differentiates your product. The operational model is equally transformative: serverless systems fail gracefully, scale horizontally by default, and produce the fine-grained execution telemetry that enables the cost attribution and optimisation that FinOps teams require. Claritas architects serverless systems with the cold-start mitigation, idempotency guarantees, and distributed tracing coverage that separate production-grade serverless from proof-of-concept deployments.
Platform capabilities
End-to-end serverless expertise across all major cloud platforms and toolchains.
AWS Lambda, Azure Functions, Google Cloud Run, and Cloudflare Workers development
Event-driven architecture: EventBridge, SNS/SQS, Kafka, and Pub/Sub design
AWS Step Functions and Azure Durable Functions workflow orchestration
API Gateway configuration, request validation, and usage plan management
Serverless database integration: DynamoDB, Aurora Serverless, and Firestore
Cold-start mitigation: provisioned concurrency, connection pooling, and layer optimisation
Distributed tracing and per-function cost attribution dashboards
Infrastructure as Code for serverless: SAM, Serverless Framework, and CDK
Pay for execution, not existence. Scale without ceiling.
Engage our serverless practice to evaluate whether your workloads are candidates for serverless architecture — and model the cost and operational improvements you could realise.