What we’re about
Special interest group focused streaming themes; Our objective is to share knowledge and provide a platform for thought leadership around:
- Event Streaming Technologies (Apache Kafka and more)
- Event Driven Architecture
- Stream Processing
- Streaming Databases
- Real-time analytics
- Data Mesh
..and more.
Previous meetup recordings - https://www.youtube.com/@Platformatory/playlists
Upcoming events (1)
See all- Bangalore Streams In-Person meetup - August 2024WeWork Embassy TechVillage, Bengaluru
Hello Bengaluru👋
We're excited to continue our new series of events in Bengaluru focused on data streaming and adjacent technologies. Our objective is to share knowledge and provide a platform for thought leadership around:
- Event Streaming Technologies (Apache Kafka and more)
- Event Driven Architecture
- Stream Processing
- Streaming Databases
- Real-time analytics
- Data Mesh
..and more.
We're hosting our next in-person event on August 31. Join us for exciting discussions in the streaming world with opportunities to network with peers and leaders in the industry.
📅 When: August 31 2024 04:00pm - 07:00pm
📌Where: Airbnb
🗺Directions: https://maps.app.goo.gl/ucEq9TfqdqBMxJFq5
(WeWork Embassy Tech Village, BLOCK-L, Embassy TechVillage, Outer Ring Rd, Devarabisanahalli, Bellandur, Bengaluru, Karnataka 560103)🗣Talks:
Transforming Your APIs Into Business Gold – Architecting a Real-Time API Usage Analytics Platform
Speaker: Dunith Danushka, Developer Advocate at Redpanda
About the talk: In today's hyper-connected digital landscape, real-time API usage analysis and billing have become paramount. With the proliferation of APIs at the heart of modern applications and services, gaining real-time insights into their use is often mission-critical as it depends on critical factors such as latency, throughput, freshness, and the correctness of generated insights.
This talk discusses the architecture of a real-time API usage analytics system composed of Redpanda, Apache Flink, and Apache Pinot. Redpanda, as a scalable streaming data platform, enables high-volume, low-latency API volume data ingestion from API gateways in real time. The ingested data is streamed through Flink for streaming ETL, enabling operations like joins, aggregations, and transformations, feeding the final output of the pipeline to Apache Pinot for serving analytics at scale. In addition to that, we will use Flink for rate-limiting incoming API requests.
Having such a system enables businesses to make informed, agile decisions, addressing performance bottlenecks, security threats, and resource allocation issues in the API infrastructure promptly. Also, it ensures seamless user experiences by identifying usage patterns, issues, and opportunities as they occur, proactively enhancing the quality of your product.
Whether you're a data engineer, an application developer, or an architect, this talk promises to equip you with the knowledge and tools to build a real-time analytics solution that empowers your organization with the insights it needs to stay ahead in a data-driven world.More talks to be announced soon!
