Skip to content

Case Studies ​

This page collects stories of teams building real applications on ServerlessInsight.

Table of Contents ​


What is ServerlessInsight ​

ServerlessInsight is a full-stack serverless application development and operations platform:

  • ✅ Infrastructure as Code (IaC)
  • ✅ Full lifecycle management
  • ✅ Multi-cloud provider support
  • ✅ Local development environment
  • ✅ One-click deployment

Learn more →


Case Studies ​

1. DeepSeek Model Deployment ​

Industry: AI / Machine Learning

Challenge:

  • Rapid deployment of multiple AI model services needed
  • Highly variable traffic requiring elastic scaling
  • Reduce GPU infrastructure costs
  • Multi-environment management (dev/test/prod)

Solution: Using ServerlessInsight's function compute and container deployment with GPU resources to achieve elastic AI model deployment.

Tech Stack:

  • ServerlessInsight CLI
  • Alibaba Cloud Function Compute (FC)
  • Alibaba Cloud Container Registry (ACR)
  • GPU instances (TESLA_8)

Architecture:

yaml
version: 0.1.0
provider:
  name: aliyun
  region: cn-hangzhou

app: deepseek
service: deepseek-inference

functions:
  deepseek_inference:
    container:
      image: registry.cn-hangzhou.aliyuncs.com/myrepo/deepseek:latest
      port: 8080
    gpu: TESLA_8
    memory: 16384
    timeout: 300
    network:
      vpc_id: vpc-xxx
      subnet_ids:
        - vsw-xxx

Results:

  • ⬇️ Infrastructure costs reduced by 60%
  • ⚡ Deployment time from hours to minutes
  • 📈 Handles 10x traffic spikes
  • 🔄 One-click multi-environment switching

2. E-Commerce API Backend ​

Industry: E-Commerce

Challenge:

  • Traffic spikes during promotions
  • Fast feature iteration cycles
  • Multi-region deployment requirements
  • Complex database connection management

Solution: Microservice API backend built with ServerlessInsight, each module deployed independently.

Architecture:

yaml
version: 0.1.0
provider:
  name: aliyun
  region: cn-hangzhou

app: ecommerce
service: ecommerce-api

functions:
  user_service:
    name: user-service
    code:
      runtime: nodejs18
      handler: user.handler
      path: artifacts/user-service.zip
    memory: 512

  order_service:
    name: order-service
    code:
      runtime: nodejs18
      handler: order.handler
      path: artifacts/order-service.zip
    memory: 1024

  payment_service:
    name: payment-service
    code:
      runtime: nodejs18
      handler: payment.handler
      path: artifacts/payment-service.zip
    memory: 512

databases:
  mysql_db:
    name: mysql-db
    type: RDS_MYSQL_SERVERLESS
    version: MYSQL_8.0
    security:
      basic_auth:
        password: "${vars.db_password}"

Results:

  • 🚀 Supports 10,000+ concurrent requests per second
  • 💰 45% cost reduction vs traditional servers
  • ⚡ Feature delivery from weeks to days
  • 🌍 Multi-region deployment achieved

3. IoT Data Processing Platform ​

Industry: Internet of Things (IoT)

Challenge:

  • Massive device data ingestion
  • Real-time data processing requirements
  • High data storage costs
  • 7x24 reliable operation needed

Solution: Event-driven data processing pipeline built with ServerlessInsight.

Architecture:

yaml
version: 0.1.0
provider:
  name: aliyun
  region: cn-hangzhou

app: iot-platform
service: iot-data-processing

functions:
  data_ingestion:
    name: data-ingestion
    code:
      runtime: python3.9
      handler: ingest.handler
      path: artifacts/data-ingestion.zip
    timeout: 60

  data_processing:
    name: data-processing
    code:
      runtime: python3.9
      handler: process.handler
      path: artifacts/data-processing.zip
    memory: 1024

  data_storage:
    name: data-storage
    code:
      runtime: python3.9
      handler: store.handler
      path: artifacts/data-storage.zip

events:
  iot_trigger:
    name: iot-trigger
    type: API_GATEWAY
    triggers:
      - method: POST
        path: /iot/data
        backend: data_ingestion

Results:

  • 📊 Processes 100M+ data points daily
  • 💾 Storage costs reduced by 70%
  • ⏱️ Data processing latency < 1 second
  • 🔒 99.99% service availability

4. Media Content Processing ​

Industry: Media / Entertainment

Challenge:

  • Compute-intensive video transcoding
  • Large storage requirements
  • Global content distribution needed
  • Strict cost control

Solution: Elastic media processing pipeline built with ServerlessInsight.

Architecture:

yaml
version: 0.1.0
provider:
  name: aliyun
  region: cn-hangzhou

app: media-platform
service: media-processing

functions:
  video_transcode:
    name: video-transcode
    container:
      image: registry.cn-hangzhou.aliyuncs.com/myrepo/ffmpeg:latest
      port: 8080
    memory: 8192
    timeout: 900
    gpu: AMPERE_16

  thumbnail_gen:
    name: thumbnail-gen
    code:
      runtime: python3.9
      handler: thumbnail.handler
      path: artifacts/thumbnail-gen.zip
    memory: 1024

buckets:
  media_bucket:
    name: media-platform-bucket
    storage:
      class: STANDARD

Results:

  • 🎬 Processes 10,000+ videos daily
  • ⚡ 3x faster transcoding (with GPU)
  • 💰 50% storage cost reduction (lifecycle management)
  • 🌐 Global user latency < 100ms

5. Financial Risk Assessment ​

Industry: FinTech

Challenge:

  • Real-time risk detection required
  • High concurrency with low latency
  • Strict security and compliance
  • High data consistency requirements

Solution: High-availability real-time risk control system built with ServerlessInsight.

Architecture:

yaml
version: 0.1.0
provider:
  name: aliyun
  region: cn-hangzhou

app: fintech
service: risk-assessment

functions:
  risk_assessment:
    name: risk-assessment
    code:
      runtime: java11
      handler: com.example.RiskHandler
      path: artifacts/risk-assessment.zip
    memory: 2048
    timeout: 30
    network:
      vpc_id: vpc-xxx
      subnet_ids:
        - vsw-xxx
      security_group:
        name: risk-sg
        ingress:
          - TCP:10.0.0.0/8:443

databases:
  risk_db:
    name: risk-db
    type: RDS_MYSQL_SERVERLESS
    version: MYSQL_8.0
    security:
      basic_auth:
        password: "${vars.db_password}"

Results:

  • ⚡ Risk assessment latency < 50ms
  • 🔒 Financial-grade security certified
  • 📈 Supports 50,000+ risk assessments per second
  • 🎯 99.5% fraud detection accuracy

By Industry ​

Retail & E-Commerce ​

  • E-Commerce API Backend
  • Order Processing
  • Inventory Management
  • Recommendation Engine

Financial Services ​

  • Risk Assessment
  • Payment Processing
  • Invoice Generation
  • Compliance Reporting

Healthcare ​

  • Medical Imaging
  • Appointment Management
  • Health Data Analytics
  • Telemedicine Platform

Gaming ​

  • Game Backend Services
  • Real-time Leaderboards
  • Player Data Analytics
  • Matchmaking

Social Media ​

  • Content Moderation
  • Push Notifications
  • News Feed
  • User Profiling

Manufacturing ​

  • IoT Device Management
  • Predictive Maintenance
  • Supply Chain Optimization
  • Quality Control

Media & Entertainment ​

  • Video Transcoding
  • Content Distribution
  • DRM
  • User Behavior Analytics

Transportation & Logistics ​

  • Route Optimization
  • Real-time Tracking
  • Dispatch Systems
  • Freight Calculation

By Scenario ​

API Backend ​

Build RESTful or GraphQL APIs for web and mobile apps.

Suitable for:

  • Web application backends
  • Mobile app APIs
  • Microservice architecture
  • BFF (Backend for Frontend)

View case →

Data Processing ​

Batch and real-time data stream processing.

Suitable for:

  • ETL pipelines
  • Real-time analytics
  • Log processing
  • Data transformation

View case →

AI & Machine Learning ​

AI model deployment and inference services.

Suitable for:

  • Image recognition
  • Natural language processing
  • Recommendation systems
  • Predictive analytics

View case →

Media Processing ​

Audio/video transcoding and processing.

Suitable for:

  • Video transcoding
  • Image processing
  • Live streaming
  • Content moderation

View case →

Mobile Backend ​

Backend services for mobile applications.

Suitable for:

  • User authentication
  • Data storage
  • Push notifications
  • File uploads

Event-Driven ​

Serverless applications responding to various events.

Suitable for:

  • File upload triggers
  • Database change responses
  • Scheduled tasks
  • Message queue processing

Web Applications ​

Full web application hosting.

Suitable for:

  • Static website hosting
  • Single Page Applications (SPA)
  • E-commerce sites
  • Blogs and CMS

Start Your Serverless Journey ​

Ready to build your serverless application?

Quick Start ​

  1. Install CLI

    bash
    npm install -g @geek-fun/serverlessinsight
  2. Learn the Basics

  3. Build Your First App

    • Pick a use case
    • Reference similar case studies
    • Start coding and deploying
  4. Get Help


Submit Your Case ​

We welcome sharing your ServerlessInsight success stories!

Submission Guidelines ​

Your case study should include:

  1. Basic Info

    • Company/project name (anonymous OK)
    • Industry
    • Use case
  2. Challenge

    • Technical challenges encountered
    • Business pain points
    • Shortcomings of previous solutions
  3. Solution

    • How you used ServerlessInsight
    • Architecture design
    • Key technology choices
  4. Results

    • Performance improvements (with data)
    • Cost savings
    • Development efficiency gains
    • Other quantifiable metrics
  5. Technical Details (optional)

    • Configuration examples
    • Architecture diagrams
    • Code snippets

How to Submit ​

Case Template ​

markdown
# Case Name

## Industry
[Your industry]

## Challenge
[Describe the challenges faced]

## Solution
[How ServerlessInsight solved the problem]

## Architecture
[Architecture description and config example]

## Results
[Quantified results and benefits]

Submission Benefits ​

  • 🌟 Featured on the ServerlessInsight website
  • 📢 Promotion on social media
  • 🎁 ServerlessInsight swag
  • 🎫 Speaking opportunity at tech conferences (for outstanding cases)

Resources ​


Note: Some case data is based on user contributions and has been anonymized. Actual results may vary by use case.