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
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:
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-xxxResults:
- ⬇️ 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:
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:
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_ingestionResults:
- 📊 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:
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: STANDARDResults:
- 🎬 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:
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)
Data Processing
Batch and real-time data stream processing.
Suitable for:
- ETL pipelines
- Real-time analytics
- Log processing
- Data transformation
AI & Machine Learning
AI model deployment and inference services.
Suitable for:
- Image recognition
- Natural language processing
- Recommendation systems
- Predictive analytics
Media Processing
Audio/video transcoding and processing.
Suitable for:
- Video transcoding
- Image processing
- Live streaming
- Content moderation
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
Install CLI
bashnpm install -g @geek-fun/serverlessinsightLearn the Basics
Build Your First App
- Pick a use case
- Reference similar case studies
- Start coding and deploying
Get Help
Submit Your Case
We welcome sharing your ServerlessInsight success stories!
Submission Guidelines
Your case study should include:
Basic Info
- Company/project name (anonymous OK)
- Industry
- Use case
Challenge
- Technical challenges encountered
- Business pain points
- Shortcomings of previous solutions
Solution
- How you used ServerlessInsight
- Architecture design
- Key technology choices
Results
- Performance improvements (with data)
- Cost savings
- Development efficiency gains
- Other quantifiable metrics
Technical Details (optional)
- Configuration examples
- Architecture diagrams
- Code snippets
How to Submit
- GitHub: Create a Pull Request to the case-studies directory
- Email: Send to case-studies@geekfun.club
Case Template
# 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.