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Enterprise Serverless Computing Services Built to Scale Instantly. Optimised for Cost Efficiency.
Kernshell designs, builds, and governs enterprise serverless architectures across AWS Lambda, Azure Functions, and Google Cloud Run. Delivering event-driven, serverless-native systems that eliminate idle compute costs, reduce infrastructure overhead, and enable elastic scalability and faster engineering delivery.
What You Get From Our Serverless Computing Services
Build scalable, cost-efficient, and event-driven applications with serverless architectures engineered for agility, resilience, and enterprise-grade performance.
Our Serverless Computing Capabilities Include:
- Serverless Application Development using AWS Lambda, Azure Functions, and Google Cloud Functions for scalable compute execution
- Event-Driven Architecture Design enabling asynchronous, loosely coupled, and highly resilient system workflows
- API Backend Development with serverless services, API gateways, and managed authentication layers
- Microservices Modernisation & Decomposition transforming monolithic applications into scalable serverless components
- Serverless Data & Integration Pipelines enabling real-time processing, event streaming, and cloud service integrations
- Serverless CI/CD & DevOps Automation supporting automated deployment, versioning, monitoring, and observability of serverless systems
From architecture design and application development to deployment automation and operational governance, Kernshell helps enterprises operationalize serverless computing models that improve scalability, reduce infrastructure costs, and accelerate digital product delivery.
End-to-End Serverless Computing Services We Offer
Serverless Strategy & Workload Assessment
Workload characterisation assessing invocation patterns, concurrency, latency, state, execution duration, and dependencies to determine where serverless reduces cost and complexity and where containers are the better fit.
AWS Lambda Development & Optimisation
Production-ready Lambda functions engineered with optimised handlers, packaging, concurrency, IAM, observability, retries, and error handling, with performance, resilience, and security designed in from first deployment.
Azure Functions Development & Optimisation
Enterprise-ready Azure Functions engineered with appropriate hosting plans, Durable Functions orchestration, secure managed identities, cold-start mitigation, and governance controls including VNet integration, private endpoints, and policy compliance.
Google Cloud Run & Cloud Functions Development
GCP serverless solutions engineered with optimised Cloud Run and Cloud Functions Gen2 deployments, tuned concurrency and scaling, canary releases, and event-driven integration with Pub/Sub, Cloud Tasks, BigQuery, Firestore, and Cloud Storage.
Event-Driven Architecture Design & Implementation
Event-driven architectures engineered with robust schemas, messaging platforms, consumer patterns, DLQs, and idempotency controls, enabling asynchronous, decoupled services that scale elastically with event volume and avoid cascading failures.
Serverless API Development
Event-driven architectures engineered with robust schemas, messaging platforms, consumer patterns, DLQs, and idempotency controls, enabling asynchronous, decoupled services that scale elastically with event volume and avoid cascading failures.
Serverless Workflow Orchestration
Managed workflow orchestration using AWS Step Functions, Azure Durable Functions, and Google Cloud Workflows to execute long-running, stateful processes with retries, parallelism, approvals, and built-in reliability, visibility, and auditability.
Serverless Data Processing & ETL
Event-driven serverless data pipelines process data as it arrives using services such as Lambda, Cloud Functions, Glue, BigQuery, and DynamoDB, delivering elastic ETL with costs aligned to actual processing volume rather than idle capacity.
Serverless Security Architecture
Serverless security engineered with least-privilege IAM, secrets encryption, private networking, trigger access controls, dependency scanning, and OWASP-aligned protections tailored to serverless threat models and blast-radius risks.
Serverless Cost Optimisation
Serverless cost optimisation through memory tuning, right-sized timeouts and provisioned concurrency, and architectural patterns that reduce unnecessary invocations while maintaining performance and responsiveness.
Our MLOps Technology Stack
Production-proven platforms selected based on your cloud environment, existing data infrastructure, and compliance requirements – not our defaults.
- All
- Languages
- Gen AI platforms
- Frameworks
- Debugging & Tracing
- Vector Databases
- DBMS
- Data Visualization
Languages
C#
Rust
Python
JavaScript
Java
R
Gen AI platforms
LangChain
Hugging Face
Apache Spark
Gemini
Phi
Frameworks
LangChain
LlamaIndex
PyTorch
Kedro
TensorFlow
Keras
Debugging & Tracing
Langsmith
Langfuse
Vector Databases
PostgreSQL
Chroma
Milvus
Qdrant
Pinecone
DBMS
PostgreSQL
MySQL
MongoDB
CouchDB
Cassandra
Neo4j
Data Visualization
Power BI
Tableau
Languages
C#
Rust
Python
JavaScript
Java
R
Gen AI platforms
LangChain
Hugging Face
Apache Spark
Gemini
Phi
Frameworks
LangChain
LlamaIndex
PyTorch
Kedro
TensorFlow
Keras
Debugging & Tracing
Langsmith
Langfuse
Vector Databases
PostgreSQL
Chroma
Milvus
Qdrant
Pinecone
DBMS
PostgreSQL
MySQL
MongoDB
CouchDB
Cassandra
Neo4j
Data Visualization
Power BI
Tableau
Where Serverless Computing Delivers Enterprise-Grade Impact Across Functions
Engineering & Product Development
Serverless delivery without infrastructure management - deploy functions in seconds and iterate rapidly without provisioning overhead.
IT Operations & Cloud Infrastructure
No server management in serverless environments — cloud providers handle scaling, patching, and infrastructure operations.
Finance & Cost Management
Pay only for execution time - serverless billing scales with actual usage, eliminating idle compute costs and overprovisioning.
Data Engineering & Analytics
Event-driven processing executes only when data arrives, eliminating idle compute and aligning costs directly with processing volume.
Customer Experience & Commerce
Serverless APIs scale instantly to traffic spikes, eliminating overprovisioning and idle capacity costs.
Security & Risk
Reduced attack surface and least-privilege execution roles limit vulnerabilities and contain security breaches.
Supply Chain & Operations
Real-time event-driven automation processes IoT and operational events instantly without idle servers or polling delays.
Executive & Senior Leadership
Pay only for business activity while engineering teams focus on product delivery instead of server management.
Serverless Computing Solutions We Can Design, Build & Integrate
Serverless Computing Solutions We Can Design, Build & Integrate
Intro: Proven serverless solution patterns – purpose-engineered for enterprise scale, event-driven integration, and production operational requirements.
Event-Driven Serverless Platform
Event-driven architectures route events to serverless functions for elastic, asynchronous processing, eliminating pre-provisioned capacity while isolating failures and scaling throughput to demand.
Serverless API Platform
API gateways front-end serverless functions with authentication, rate limiting, caching, and routing, while back-end functions execute business logic with cold-start mitigation applied only to latency-sensitive endpoints.
Serverless Data Processing Pipeline
Event-driven ETL pipelines use serverless functions to transform and load data from streams and notifications, with compute costs incurred only during active processing rather than idle batch windows.
Serverless Workflow Orchestration Platform
Serverless workflow orchestration using Step Functions and Durable Functions executes long-running business processes with built-in retries, error handling, and audit trails, without custom workflow engines or application servers.
Serverless Microservices Architecture
Serverless microservices built as independently deployable and scalable functions, communicating through event buses to enable loose coupling and independent delivery without sidecar infrastructure.
IoT & Real-Time Event Processing
Serverless IoT pipelines ingest device telemetry and process it in real time through functions that transform, enrich, and analyse data, scaling elastically to unpredictable message bursts without over-provisioned compute.
Serverless Migration Programme
Structured migration of suitable workloads to serverless through assessment, cost modelling, refactoring, and phased delivery, prioritising high-value, low-risk migrations and validating patterns before wider adoption.
Regulated Serverless Architecture
Compliant serverless architectures using private networking, encryption, least-privilege IAM, audit logging, and IaC-based deployment controls, meeting regulatory requirements without persistent server infrastructure.
Our Process For Serverless Computing Delivery
A six-stage delivery process – from workload assessment through governed, optimised, and observable production serverless architecture.
Serverless Strategy & Workload Assessment
Workload characterisation – invocation patterns, concurrency, latency sensitivity, execution duration, state requirements · serverless suitability scoring · cost modelling against current infrastructure · cold start impact analysis · vendor lock-in assessment → serverless adoption roadmap defining which workloads migrate, which remain on containers or managed compute, and in what sequence.
Architecture Design & Integration Planning
Function boundary design · event source and routing architecture · API Gateway or event bus design · state management strategy · security architecture (IAM, KMS, VPC) · observability design · IaC framework selection → reviewed by engineering, security, and cloud stakeholders before development begins.
Function Development & Integration
Function handler implementation · dependency packaging · Lambda layer or container image strategy · event source integration · API Gateway or trigger configuration · IAM execution role design · environment variable and secrets management · dead-letter queue configuration → functions unit tested and integration tested against event sources before deployment to any shared environment.
Performance Engineering & Cold Start Optimisation
Lambda Power Tuning execution across memory configurations · cold start duration measurement · provisioned concurrency right-sizing · timeout configuration tightening · dependency bundle size reduction · connection pooling for database-integrated functions → performance profile characterised and optimised before load testing begins.
Load Testing, Security Review & Production Readiness
Load testing with Artillery or k6 — concurrent invocation testing, throttling behaviour, error rate under load, and cold start distribution under realistic traffic · security review — IAM least-privilege validation, secrets management verification, VPC configuration review · IaC deployment pipeline validation → production readiness confirmed before live traffic.
Production Deployment, Observability & Continuous Optimisation
IaC-governed production deployment · distributed tracing activation · structured logging configuration · cold start monitoring · cost dashboard deployment · alerting policy configuration · monthly cost and performance review → serverless workload performance and cost governed continuously as invocation patterns, business volumes, and architectural requirements evolve.
Why Enterprises Choose Us As Their Serverless Computing Partner
The difference between a cloud provider promoting serverless and a serverless engineering partner is accountability for production performance, cost efficiency, and workload suitability – not function deployment volume.
- Suitability-first design with upfront evaluation of cold starts, cost models, state handling, and vendor lock-in risks before architecture commitment.
- Production-grade function engineering with built-in observability, retries, idempotency, security controls, and resilience patterns from day one.
- Cost governance from the outset using tuning, right-sizing, and invocation modelling to prevent unexpected scale-driven billing.
- Event-driven architecture expertise covering schema design, messaging strategy, consumer patterns, and reliability at scale.
- Serverless-native observability with tracing, structured logs, cold start monitoring, and cost visibility tailored to ephemeral execution.
- Compliance-ready serverless design aligned with SOX, ISO 27001, HIPAA, and FDA through secure, auditable cloud-native controls.
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FAQs on Serverless Computing Services
Have a question? We’re here to help.
What is serverless computing and what does Kernshell deliver?
Serverless computing runs application code in response to events or requests without managing underlying servers, with infrastructure automatically handled by the cloud provider. Kernshell delivers serverless strategy, architecture design, function development, event-driven systems, integrations, observability, security, performance optimisation, and infrastructure-as-code deployment for production-ready serverless solutions.
Is serverless right for every workload?
No. Serverless is best suited for variable, event-driven, or low-utilisation workloads, and may not be cost-effective or suitable for consistently high traffic, long-running processes, or low-latency critical systems. We assess workload characteristics and cost models before recommending serverless adoption.
What is a cold start and how does Kernshell mitigate it?
A cold start occurs when a serverless function is invoked after inactivity, requiring the cloud provider to initialise a new execution environment. We mitigate this through runtime optimisation, dependency reduction, provisioned concurrency, and architectural design that routes latency-sensitive workloads to pre-warmed execution paths.
How does Kernshell approach serverless security?
Serverless security is implemented using least-privilege IAM roles, encrypted secrets management, secure API exposure, VPC isolation where needed, and continuous vulnerability scanning in CI/CD pipelines. Each function is secured based on its specific access and execution requirements.
How long does a serverless engagement take with Kernshell?
A focused serverless implementation typically takes 6–10 weeks. Larger enterprise programmes involving multiple workloads, event-driven architectures, and optimisation layers usually take 12–20 weeks depending on complexity and integration scope.
How does Kernshell optimise serverless cost?
We optimise serverless costs through right-sizing memory and compute configurations, reducing execution time, minimising unnecessary invocations, tuning concurrency settings, and refining event-driven architectures to eliminate inefficiencies. Cost efficiency is validated through real workload profiling.
Does Kernshell implement serverless for regulated industries?
Yes. We design serverless solutions for regulated industries with built-in compliance controls including audit logging, encryption, IAM governance, network isolation, and CI/CD traceability. These ensure alignment with regulatory requirements such as HIPAA, GDPR, ISO 27001, and financial compliance frameworks.
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1304 Westport, Sindhu Bhavan Marg, Thaltej, Ahmedabad, Gujarat 380059, INDIA
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