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Stop managing servers and start shipping value. SISGAIN's serverless architecture development services design, build, and optimize event-driven, function-based applications on AWS Lambda, Azure Functions, and Google Cloud Run — so your engineering teams focus on business logic, not infrastructure.







The Problem
Organizations modernizing to the cloud often underestimate the complexity of serverless migration and architecture. Here are the four biggest challenges slowing your teams down and inflating your cloud bill.
Poorly architected serverless functions suffer from cold start penalties, inconsistent execution times, and runaway concurrency costs — turning a promising architecture into a performance and budget liability.
Disconnected Lambda functions, missing dead-letter queues, and uncoordinated event sources create silent failures, message loss, and debugging nightmares that take days to diagnose in production.
Overly permissive IAM roles, unencrypted environment variables, and missing API Gateway authorization layers expose serverless workloads to privilege escalation, data leaks, and compliance violations.
Without granular function-level cost tracking, memory rightsizing, and execution duration optimization, serverless workloads can generate cloud bills 3–5× higher than necessary — with no visibility into which functions are responsible.
✕ Without SISGAIN Serverless
✕ Manual server provisioning & patching
✕ Fixed compute costs regardless of traffic
✕ Cold start issues & unpredictable latency
✕ Monolithic deployments, long release cycles
✕ No function-level cost or performance visibility
✕ Overpermissive IAM & exposed endpoints
✕ Fragmented event workflows & silent failures
✓ With SISGAIN Serverless
✓ Zero infrastructure management — fully serverless
✓ Pay-per-execution billing — 60–80% cost reduction
✓ Provisioned concurrency & warm-up strategies tuned
✓ Micro-function pipelines with CI/CD automation
✓ Real-time observability with AWS X-Ray & Datadog
✓ Least-privilege IAM, API Gateway auth & WAF enforced
✓ Orchestrated step functions with DLQ & retry policies
Our Solution
Our serverless-as-a-service model combines architecture design, function engineering, DevSecOps automation, and continuous cost optimization to help you build event-driven applications that are fast, secure, and infinitely scalable.
AWS Certified Solutions Architect
AWS Lambda Specialist
Azure Functions Certified
Google Cloud Run Expert
Serverless Framework & SAM
Event-Driven Architecture Expert
Our Serverless Services
From function design to production deployment — we cover the complete serverless development lifecycle with enterprise-grade precision.
End-to-end serverless architecture blueprints — event topology mapping, function decomposition strategy, API Gateway design, data flow orchestration, and cloud-native integration patterns aligned to your business objectives and SLA requirements.
Custom Lambda function development in Node.js, Python, Go, and Java — with memory and timeout rightsizing, provisioned concurrency configuration, Lambda layers for shared dependencies, and VPC integration for private resource access.
Full-lifecycle Azure Functions development with Durable Functions for stateful workflows, Logic Apps for low-code integrations, Event Grid routing, and Service Bus messaging — built on consumption or premium plan depending on latency requirements.
Containerized serverless workloads on Cloud Run with autoscaling to zero, Cloud Functions for lightweight event triggers, Pub/Sub integration, and Eventarc for unified event routing across Google Cloud services.
Design and implementation of event-driven systems using AWS EventBridge, SQS, SNS, Apache Kafka, and Azure Event Hubs — with AWS Step Functions or Azure Durable Entities for complex multi-step workflow orchestration and saga pattern implementation.
RESTful and GraphQL API development with AWS API Gateway, Azure API Management, or Google Cloud Endpoints — including request/response transformation, throttling policies, custom authorizers, usage plans, and WAF integration.
Least-privilege IAM policy design, secrets management via AWS Secrets Manager or Azure Key Vault, API Gateway JWT/OAuth2 authorization, function-level encryption, VPC endpoint policies, and compliance alignment with SOC 2, HIPAA, and GDPR requirements.
End-to-end migration of monolithic applications, VM-based workloads, and containerized services to serverless — including strangler-fig decomposition, data layer refactoring, and zero-downtime cutover planning with automated rollback strategies.
Explore how our serverless platform manages your function lifecycle across four core pillars in real time.
We provision and configure serverless functions across AWS Lambda, Azure Functions, and Google Cloud Run using Terraform and Serverless Framework — with standardized environment configurations, VPC integration, and IAM role boundaries as baseline.
Every function is wired to purpose-built event sources — SQS, SNS, EventBridge, API Gateway, S3, DynamoDB Streams — with filter patterns, batching configurations, and dead-letter queue routing enforced from day one.
Deployments are standardized using Serverless Framework, AWS SAM, or Terraform — with reusable function templates covering environment variables, layer dependencies, concurrency limits, and timeout policies across all services.
GitHub Actions or GitLab CI pipelines continuously validate, test, and deploy function packages — automatically detecting configuration drift, enforcing code quality gates, and rolling back failed deployments without manual intervention.
Every Lambda function receives a dedicated execution role scoped to the minimum permissions required. Permission boundaries prevent privilege escalation — blocking overpermissive role assumptions before functions reach staging or production environments.
Custom Lambda authorizers or Cognito-based JWT validation enforces API-level authentication. AWS WAF rules block SQL injection, XSS, and rate-limit abuse — protecting every serverless endpoint from common web exploits.
AWS Secrets Manager, Azure Key Vault, or GCP Secret Manager injects secrets at runtime — eliminating hardcoded credentials in function code. All environment variables are KMS-encrypted at rest and rotated on configurable schedules.
Sensitive functions run inside private VPCs with interface endpoints — preventing public internet exposure of data-layer resources. Security groups enforce zero-trust east-west communication between functions and downstream services.
CloudWatch, Azure Monitor, or Google Cloud Monitoring collects invocation counts, error rates, duration percentiles, throttles, and cold start frequencies. Grafana dashboards provide real-time visibility per function, per event source, and per AWS account.
AWS X-Ray or OpenTelemetry captures end-to-end traces across serverless workflows — visualizing function chains, identifying cold start bottlenecks, and enabling sub-millisecond root-cause analysis across event-driven pipelines.
Fluent Bit or FireLens ships structured function logs to Loki, Elasticsearch, or your SIEM. Intelligent alerting fires on error rate spikes, timeout patterns, throttling breaches, and DLQ depth — with PagerDuty or Slack on-call routing.
Service Level Objectives defined per API endpoint and function — automatically generating error budget dashboards, burn-rate alerts, and monthly SLO compliance reports for engineering and executive stakeholders.
AWS Cost Explorer tags, Azure Cost Management, or Infracost provides real-time cost allocation by function, service, team, and environment — giving FinOps and engineering managers precise visibility into what each serverless workload costs per million invocations.
AWS Lambda Power Tuning analyzes execution duration versus memory allocation across 10 configurations — generating rightsizing proposals that minimize cost per GB-second while maintaining target latency SLAs for every function.
Provisioned concurrency is applied selectively to latency-sensitive functions — eliminating cold starts on critical paths while keeping idle capacity charges near zero for batch and async processing functions.
Monthly serverless efficiency reviews score function execution efficiency, memory utilization, timeout waste, and idle trigger costs — with a prioritized action plan to continuously reduce cloud spend as your workloads evolve.
Architecture
A unified serverless platform that connects every function, every event source, and every workload into a single intelligent application governance layer.
CLOUD PROVIDERS
AWS Lambda
Azure Functions
Google Cloud Run
Multi-Cloud / Hybrid Serverless
Unify function deployments, automate security policies, and enforce governance across your entire multi-cloud serverless portfolio from a single control plane.
SERVERLESS CAPABILITIES
Function Provisioning & IaC
Event Source & Trigger Management
CI/CD & GitOps Automation
Autoscaling & Memory Rightsizing
API Gateway & Security Engine
OBSERVABILITY & GOVERNANCE
CloudWatch & Grafana Dashboards
Function Cost Reports
SLO & Reliability Tracking
Compliance Audit Trail
ENGAGEMENT PROCESS
A proven serverless delivery model that gets your event-driven applications running reliably in production in weeks, not months.
A comprehensive audit of your existing application architecture, event flow patterns, API design, security posture, and cloud cost efficiency — delivered as a detailed serverless modernization roadmap within 5 business days.
Custom serverless architecture aligned to your workloads and business objectives: function decomposition map, event topology design, API Gateway strategy, security framework, GitOps delivery model, and a phased roadmap with projected ROI.
Hands-on implementation of serverless functions, event pipelines, API layers, observability stacks, and security policies — executed in phased sprints with zero disruption to your existing production workloads.
Ongoing monthly function reviews, security patching, cost optimization sprints, and quarterly serverless maturity assessments — ensuring your serverless platform improves continuously as your business scales.
Why SISGAIN
See how SISGAIN Serverless services stack up against alternative approaches your organization might consider.
| Capability | SISGAIN | Generic MSP | In-House Team | Tool Only |
|---|---|---|---|---|
| Serverless architecture design | ✓ Full design | ◦ Partial | ◦ Manual | ✗ Not included |
| CI/CD pipeline integration | ✓ GitOps + GitHub Actions | ◦ Basic | ◦ Ad-hoc | ✗ Not applicable |
| Security hardening & IAM | ✓ Policy-as-code | ◦ Partial | ◦ High effort | ◦ Alerts only |
| Cost optimization & rightsizing | ✓ Power Tuning + FinOps | ◦ Manual only | ◦ Requires hire | ◦ Dashboards only |
| Observability & alerting | ✓ Full stack | ◦ Basic | ◦ Tool-dependent | ◦ Partial |
| Time to production-ready architecture | ✓ 2–3 weeks | 2–3 months | 6–12 months | Setup only |
Ready to modernize?
Join 300+ engineering teams who turned serverless complexity into a competitive advantage. Start with our free Serverless readiness assessment — no commitment required.
Client Voices
What CTOs, VP Engineers, and Cloud Platform Leaders say after working with our Serverless team.
SISGAIN redesigned our entire order processing platform as a serverless architecture on AWS Lambda and Step Functions in 8 weeks with zero downtime. Our deployment time dropped from 2 hours to under 6 minutes, and our monthly AWS bill fell by 58% in the first quarter.
Sarah Okonkwo
VP of Cloud Engineering, RetailEdge Commerce
We had a fragmented mess of Lambda functions with no observability and runaway costs. SISGAIN restructured our event-driven architecture, implemented X-Ray tracing, and rightsized every function — reducing our serverless spend by 61% while improving p99 latency by 40%.
David Chen
CTO, HealthBridge Analytics
From manual deployments to a full GitOps serverless pipeline with automated rollbacks in under 4 weeks. The observability stack gives us real-time SLO dashboards for every API endpoint. Our incident response time dropped by 70% in the first two months.
Priya Nambiar
Head of Platform Engineering, FinPath Global
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