Fast, Easy, and YAML
Creating Real-time Data APIs with Dozer
📚 An exhaustive tutorial on all aspects of Dozer
🦅 Trip around on current access patterns &
the development pattern of building data APIs
🛠 Introduction to Dozer & how it solves the problem
✅ This Talk Is
❌ This Talk Is Not
📝agenda.yaml
Abhishek
🥑 Developer Advocate @Dozer
🐍 Pythonista
👨👩👧👦 Community first person 💛
connect with me:
👨💻 "1x.engineer"
- In the current data-driven landscape, creating efficient, reliable, and low-latency data APIs is vital for business decision-making.
- Traditional setups for data APIs can be complex and intimidating due to:
- Varied data sources
- Transformations
- REST or gRPC API generation on top to get the insights
Current Pattern of building APIs
-
Dozer is an 100% open-source data API backend that simplifies the creation of low latency data APIs. -
It features a real-time SQL engine, connects to any data source, and transforms and stores data in an embedded cache powered by LMDB. -
Dozer automatically creates secondary indexes and instantly generates REST and gRPC APIs.
-
With a few lines of SQL and a simple YAML configuration, developers can build, deploy and maintain full data backends.
- Dozer has client libraries in JS, React, and Python for easy integrations.
Architecture
Unified API across multiple domains & systems
Install the Dozer
Write Dozer config (yaml config)
Run Dozer
Serve/Consume APIs
Checkout the demo samples 👇
Cache
Use Case and Real-World Applications 🤹
-
Building a global unified API across multiple domains & systems
-
Real-Time Alerts & Notifications
-
Read Scalability
- And many more...
Prefect*Me*Prefect gave me a deal, I could not refuse.
Join Discord: bit.ly/dozer-discord
