Bangalore Kafka Meetup by Linkedin

Join us on 5th March for a virtual Kafka Meetup organized by LinkedIn, Bangalore!
We have a line up of interesting talks by speakers from LinkedIn, Elastic and Confluent.

------------------------------------------------------------------------------------------------------

Agenda:

10:00 AM - 10:15AM
Keynote from LinkedIn leadership

10:15 AM - 11:15AM - Kafka Tiered Storage - Sumant Tambe (https://www.linkedin.com/in/sumanttambe/)

Kafka Tiered Storage separates compute and data storage in two independently scalable layers. Uber's Kafka Improvement Proposal (KIP) #405 describes two-tiered storage, which is a major step towards cloud-native Kafka. It stores the most recent data locally and offloads older data to a remote storage service. Operationally, the benefit is faster routine cluster maintenance activities. In Linkedin, Kafka tiered storage is strongly desired to reduce the cost of running Kafka in the Azure cloud environment. As KIP-405 does not dictate the implementation of remote storage substrate, Linkedin's choice for tiering Kafka in Azure deployments is the Azure Blob Service. This presentation will begin with the motivation behind Linkedin efforts to adopt Kafka Tiered Storage. Next, the architecture of KIP-405 will be discussed. Finally, the Remote Storage Manager for Azure Blobs, which is a work-in-progress, will be presented.

11:15 AM - 12:15AM - Kafka Gotchas and Misconceptions - Dinesh Kumar (https://www.linkedin.com/in/dinesh-kumar/)
This talk discusses topics ranging from simple gotchas like auto commits, partitioning, topic names to higher misconceptions on ordering, scaling partitions exponentially, performance/latency, uptime etc. Best practices from Kafka producer/consumer perspective will also be addressed along the way.

12:15 PM - 1:15 PM - Kafka Streams - Suraj Pillai (https://www.linkedin.com/in/suraj-pillai-confluent/)

Kafka Streams is a client library for building applications and microservices, where the input and output data are stored in an Apache Kafka® cluster.
It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology.
In this session, we will discuss Kafka Streams, its architecture as well as discuss what the intended use cases are.

1:15PM - 1:20 PM - Thank you note