Serverless & Edgeby SoftwareCrafting
Functions-as-a-service and edge compute for low-latency, infinitely scalable backends by SoftwareCrafting.
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Delivery Time
2-4 weeks
Service Overview
We design and build serverless and edge architectures for teams who want to stop paying for idle servers and stop being paged about capacity. That covers Vercel and Cloudflare Workers at the edge, AWS Lambda and Step Functions for backend workloads, and the supporting pieces that decide whether serverless is pleasant or painful: cold start budgets, connection pooling for databases that were never designed for thousands of ephemeral clients, idempotency for retried invocations, and observability that works when there is no server to log into. We are equally willing to tell you when serverless is the wrong shape for your workload. Long running jobs, sustained high throughput, heavy compute, and workloads needing large in memory state are frequently cheaper and simpler on containers. Where the fit is genuine, the payoff is real: scaling to zero, per request billing, and deployment that stops being an operational event.
Technologies we use
Key Features
- Serverless architecture design on AWS Lambda, Vercel, or Cloudflare Workers
- Edge middleware for routing, authentication, personalisation, and A/B testing
- Cold start measurement and reduction through bundling and runtime choice
- Database connection pooling suited to ephemeral compute
- Event driven workflows with SQS, EventBridge, and Step Functions
- Idempotency keys and safe retry behaviour for at least once delivery
- API routes and edge functions with sensible caching policies
- Background and scheduled jobs without a persistent server
- Infrastructure as code using CDK, SST, or Terraform
- Observability with structured logs, traces, and per function metrics
- Cost modelling and per invocation spend attribution
- Staged rollout, canary deploys, and instant rollback
- Secrets management and least privilege function permissions
- Migration path from existing container or server based workloads
Pricing Snapshot
Starting from ₹18,000 for serverless architecture design and deployment
- Model: project
- Timeline: 2-4 weeks
Our Delivery Process
We use an agile, transparent process to ensure your project is completed on time and meets exactly your needs.
Workload assessment
Profile the workload for duration, concurrency, memory, and state, then determine where serverless genuinely fits.
Architecture design
Design function boundaries, event flows, data access, and the cold start and cost budgets.
Infrastructure as code
Build the deployment pipeline, environments, permissions, and secrets handling as reviewable code.
Implementation
Build the functions, event handlers, and workflows with idempotency and retry behaviour designed in.
Load testing and tuning
Test under realistic concurrency, tune memory and bundling, and verify the cost model against real numbers.
Cutover and handover
Migrate traffic progressively, verify observability and alerting, and hand over runbooks.
Why Choose SoftwareCrafting?
- No capacity planning and no paying for idle compute
- Scale to zero on low traffic services and environments
- Traffic spikes absorbed without manual intervention
- Lower latency by running logic at the edge, close to users
- Deployment that is routine rather than an operational event
- Cold starts measured and budgeted instead of hoped about
- Database connections that survive contact with serverless concurrency
- Retries that do not double charge customers or duplicate records
- Per function cost visibility, so spend surprises are caught early
- An honest assessment of where serverless is the wrong choice
Frequently Asked Questions
Is serverless actually cheaper?
What about cold starts?
How do serverless functions talk to a database?
What is the difference between edge and serverless functions?
When should we not use serverless?
Can we migrate gradually?
Case Studies
See how we've delivered results for our clients.
Guides that support this service
Practical engineering notes connected to serverless & edge decisions, architecture, and implementation trade-offs.
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Solutions & industries
Where teams use serverless & edge
Explore the industry solutions and locations we deliver this capability for, or talk to a Delhi/India-based senior engineer.
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