How to build a social network with microservices and kubernetes

1. Build a Social Network from scratch
with Microservices & Kubernetes
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DOF HUNT

2. About me
Tran Xuan Viet (Viet Tran)
•Founder, CTO at 200lab
•Former Solution Architect at Sendo.
•Former CTO at Skylab
•Former Software Engineer at Foody.
viettranx@gmail.com
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3. • Switch Monolith <=> Microservices easily
• Clean architecture at DOF Hunt
• Monitoring & Tracing
• Service Mesh with Linkerd
• Logging
Agenda
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4. • Backend: Golang, Python
• Mobile: Flutter
• Database: MySQL (main), MongoDB
• Search Index DB: Elastic Search
• Caching: Redis
• Broker Pub/Sub: NATS
• Service Mesh: Linkerd
DOF HUNT Stack
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5. Monolith <=> Microservices easily
with Clean Architecture
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6. Clean Architecture at DOF Hunt
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TRANSPORT
HANDLER
REPOSITORY
STORAGE
Module/Service
TRANSPORT
HANDLER
REPOSITORY
STORAGE
Module/Service
TRANSPORT
HANDLER
REPOSITORY
STORAGE
Module/Service
.
.
.

7. Clean Architecture at DOF Hunt (.cont)
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REPOSITORY STORAGE
FindProductById(id)
UpdateProduct(product)
MYSQL
FindProductById(id)
UpdateProduct(product)
REDIS
FindProductById(id)
UpdateProduct(product)
UpdateProduct(product)
HANDLER

8. Clean Architecture at DOF Hunt (Cont)
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9. Clean Architecture at DOF Hunt (Cont)
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Inside a module

10. Microservice
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11. Microservice
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Microservices remove dependent
But add more complex for system

12. First at all, we need to know what makes
our system slow
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13. Monitoring & Logging
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14. MySQL Monitoring
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15. Nginx Monitoring
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16. Nginx Monitoring
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17. DOF HUNT Tracing
OpenCensus Jaeger
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18. Jaeger is a distributed tracing system released as open
source by Uber Technologies. Learn more
• Distributed context propagation
• Distributed transaction monitoring
• Root cause analysis
• Service dependency analysis
• Performance / latency optimization
Storage Support:
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19. Opensensus & Jaeger Deployment
Golang +
Agent
UDP
Span Data
Service Node
Golang +
Agent
UDP
Span Data
Service Node
.
.
.
T-Channel
Kafka Broker
Collector Node
Collector
Storage
Write
UI
Query
Push
Kafka
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20. Opensensus & Jaeger Deployment
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21. Service Mesh with Linkerd
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22. Logging with Fluentd & ElasticSearch
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23. Visualize logging data
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24. Visualize logging data
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25. Thank you
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