Serverless Days Ahmedabad - Dhaval Nagar.pptx.pdf
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The document discusses how early-stage startups can leverage the AWS serverless ecosystem to optimize deployment, manage operational costs, and enhance development speed. Key topics include the importance of automation, the trade-offs of vendor lock-in, and the adaptability of serverless architectures for various use cases. Additionally, it highlights essential AWS services, best practices, and potential pitfalls in serverless development.
Serverless Days Ahmedabad - Dhaval Nagar.pptx.pdf
- 1. How Early-Stage Startups Can Thrive with the AWS Serverless Ecosystem Dhaval Nagar AWS Hero, AWS SME, 12x AWS Certified
- 2. Introduction ● 12x AWS Certified 🎖 ● AWS Certification SME - Associate 🏆 ● AWS Hero - 2020 ☁💡 ● AWS User Group Lead - Surat 💡 ● Founder @ APPGAMBiT, AWS Consulting Partner ● Practicing Barista ☕ First Physical Server Setup 2005 Started Using Linode 2010 Started Using AWS, DigitalOcean 2014 First Lambda Setup 2015
- 3. Rapid Deployment ● Fast deployment isn’t just about the code; the dependencies has to work as well ● Steep learning curve for mastering multiple technologies like Database, Auth, APIs, etc ● Identifying efficient methods for the deployment process is essential for staying competitive. Early-Stage Startup Challenges Small Team ● EC2 or Beanstalk often seems like a simple solution ● Manually managing servers can require dedicated personnel, adding to costs. High Cost Of Operational Resources ● While smaller teams are nimble, they have a greater workload and fewer hands to distribute tasks. ● Automation and smart tooling are essential for smaller teams Rapid Development ● Build From Scratch vs Utilising Pre-built Services ● Faster Time to Market ● Decision Paradox
- 4. Front-End AuthN and AuthZ API Management Runtimes and Compute Database Storage Integrations General Application Architecture Web App Mobile App Desktop / CLI / Others Users Role/ Permissions Account Detail Service Endpoint Routing HTTPS Caching Req. Validation Monolithic Micro-service External Queue Pub/Sub Workflow SQL NoSQL Purpose-Built Objects Files
- 6. Don’t Repeat Yourself ○ Always tempting to Build vs Use ○ Time consuming and labor intensive exercise to build complex features ○ Time To Market is one of the most essential parameter Vendor Lock-in is manageable ○ Every architectural decision inherently imposes some form of lock-in, be it in terms of technology, skill set, or infrastructure ○ Trading flexibility and speed of development with time
- 7. Use Cases Online Training Platform Food Order Processing Developer Security Tool
- 8. A Cloud Guru - Application Architecture (2015)
- 9. FoodHub - Order Processing At Scale ● 4th Largest Food Ordering Company in UK ● UI applications for Users and Restaurant Owners ● Heavy Order Processing in patterns of Day and Time ● 63 Million Orders Processed in 2021 Front-end Back-end CloudFront S3 Amplify AppSync Lambda DynamoDB Customer Restaurant
- 10. Snyk - Vulnerability Scanning at Scale ● Developer Security platform ● In Top 20 of Forbes Cloud 100 Companies 2023 ● Native Integration with AWS CodePipeline CodePipeline S3 API Gateway DynamoDB Step Functions EventBridge Lambda
- 11. Key Benefits ● Faster Time to Developement ● Scalable and Reliable Services ● Pay as You Use ● Infrastructure as Code ● Event-Driven Architecture
- 12. Not One-Size-Fits-All, But Still Invaluable I want to acknowledge and highlight the point that Serverless may not be suitable for certain use-cases, but it can still co-exist with other architectures, offering a best-of-both-worlds approach. For example, a startup specializing in Machine Learning use case can still leverage serverless for non-ML tasks like User Auth, Database, Storage, Communication, etc.
- 13. Next Generation of Tools AWS S3 CloudFront | Google Buckets | Cloudflare | Vercel | Netlify Front-end Cloud Lambda | Cloud Functions | Cloudflare Workers | Hasura | Vercel Edge Functions | Supabase | Google Cloud Run | AWS App Runner | Google App Engine Compute Services DynamoDB | Firebase | Hasura | Prisma | PlanetScale | MongoDB Atlas | Aurora Serverless | Neon | Xata | Upstash | Contentful Serverless Datastore SAM | Serverless Framework | Terraform | Ampt | SST.dev Development Tools
- 14. Key AWS Services ● S3 / CloudFront ● Cognito ● Lambda / App Runner / Fargate ● API Gateway / AppSync ● Step Functions ● EventBridge / SQS / SNS / Kinesis ● DynamoDB / Aurora Serverless
- 15. Best Practices & Pitfalls ● Choosing the Right Services ○ Deciding between one cloud, multi-cloud vs usecase-specific services ○ Functions vs Container ● Cost Monitoring ○ It’s cost efficient but not cheap ○ One bad message in a mis-configured SQS can run havoc ● Security Concerns ○ Serverless or not, this should still be a valid concern for most startups ● State Management ○ Everything is distributed and decentralised ○ Some of the traditional development practices may not be suitable ● Testing and Debugging ○ It’s still hard to emulate cloud resources for local development ● Monitoring and Observability ○ Lot of tools, but still evolving space
- 16. By providing a simplified programming environment, serverless computing makes the cloud much easier to use, thereby attracting more people who can and will use it. A Berkeley View on Serverless Computing, 2019
- 17. Thank You!