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A year of Droplr Cloud
architecture evolution
with AWS and Serverless
Antoni Orfin <antoni@droplr.com>
Solutions Architect @ Droplr
What is Droplr?
Screen Capture, File Sharing, Team Collaboration
Used by...
Droplr in numbers:
+ 500k users
+ 50M files (70 TB) in AWS S3
Droplr in Poland
Photos by instagram.com/mariuszgil
In 2017, Droplr opened office
in Wrocław, Poland
Technologies overview
Optimising
Monitoring
Serverless Revolution
Optimising
Reduction of...
1. ...programming languages → Node.JS
2. ...microservices → monolith ;-)
3. ...AWS infrastructure → EC2, ELB, ECS (Docker!), Serverless
Monitoring
1. SLA/Uptime monitoring → Pingdom
2. Infrastructure Metrics → DataDog
3. Log Analysis → Logz.io (ELK)
4. Error tracking → Sentry
Do we need
servers?
No.
Serverless Revolution
Bare metal IaaS
PaaS
Serverless
FaaS
Serverless Revolution
AWS Lambda - run code without thinking about underlying
infrastructure
1. Crazy cheap
2. Multiple programming languages support
3. Highly-Scalable
4. Reliable
5. Fast
Serverless Revolution
AWS Lambda - run code without thinking about underlying
infrastructure
1. Crazy cheap
Free Tier: 1M requests per month & 400,000/GB-sec
Above: $0.0000002/request + $0.00001667/GB-sec
Serverless Revolution
AWS Lambda - run code without thinking about underlying
infrastructure
2. Multiple programming languages support: Node.js
(JavaScript), Python, Java (Java 8), C# (.NET Core), Go
(from 15.01.2018)
$ npm install serverless -g
$ serverless create --template hello-world
$ serverless deploy
Serverless Revolution
AWS Lambda - run code without thinking about underlying
infrastructure
3. Highly-Scalable out of the box
Default limit: 1,000 concurrent executions
Our Benchmark: 800 req/s per Node.js function
Serverless Revolution
AWS Lambda - run code without thinking about underlying
infrastructure
4. Reliable
100% uptime
in our Pingdom from start (7 months)
Serverless Revolution
AWS Lambda - run code without thinking about underlying
infrastructure
5. Fast
<1 ms
for Node.js Express “Hello World”
AWS Lambda invocation
SNS
Time
HTTP
Droplr Current Architecture
Droplr Serverless Architecture
1. AWS Lambda in VPC
2. CloudFront in front of API Gateway
3. Web Application Firewall
4. SNS (~RabbitMQ?)
5. CloudWatch Events (~CRON?)
Serverless Performance
1. Throughput 2. Response Time
CloudFront 118 ms 100.00%
API Gateway 63 ms 53.39%
Lambda 0.92 ms 0.78%
Result?
99.99% uptime
60% AWS cost reduction (10x for computing)
10x faster uploads
1 min production deployments
Do we need
regions?
No.
Moving towards real Cloud
1. Cloud with single region? What about running application nearer
your clients? Maybe in...
Tok
1. Cloud with single region? What about running application nearer
your clients? Maybe in...
Moving towards real Cloud
Tok
Paris
1. Cloud with single region? What about running application nearer
your clients? Maybe in...
Moving towards real Cloud
Tok
Paris
Sydney
Better
Lambda@Edge
Result?
Thanks
Time for discussion :-)
- Serverless as a game-changer?
- Your ideas of using Serverless?
- Btw. Senior JavaScript/React Developer wanted! ;-)
Ref.: https://serverless.com/blog/how-droplr-scales-to-millions-serverless-framework/

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