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Build Real-Time Data Pipelines with Apache Kafka

Explore sessions on event streaming architecture, producer/consumer patterns, Kafka Streams API, and performance tuning for building resilient, high-throughput systems.

02:40 MIN

Core concepts of Kafka and Kafka Streams

Kafka Streams Microservices

04:50 MIN

Implementing a CQRS banking demo with Kafka

From event streaming to event sourcing 101

04:23 MIN

A traditional approach to streaming with Kafka and Debezium

Python-Based Data Streaming Pipelines Within Minutes

03:26 MIN

Managing input co-effects with Kafka and event sourcing

Java with a Clojure mindset

03:07 MIN

Using Knative eventing for asynchronous workloads with Kafka

Serverless-Native Java with Quarkus

01:24 MIN

Understanding Kafka's role in modern architectures

Tips, Techniques, and Common Pitfalls Debugging Kafka

03:41 MIN

Decoupling microservices with event streams

From event streaming to event sourcing 101

05:40 MIN

Evolving from classic microservices to event-driven design

Kafka Streams Microservices

04:50 MIN

An overview of the data indexing pipeline architecture

Don't Change the Partition Count for Kafka Topics!

03:33 MIN

Using change data capture for real-time alerts

From event streaming to event sourcing 101

01:18 MIN

A sample architecture for an online retail application

Build Delightful Mobile Experiences with Kotlin, Realm, and Atlas Device Sync

05:56 MIN

Streaming data to web clients with SSE

Development of reactive applications with Quarkus

05:04 MIN

Building a new cloud-first and API-first technology stack

Coffee with Developers

02:03 MIN

The growing role of Python in real-time data processing

Python-Based Data Streaming Pipelines Within Minutes

01:34 MIN

Managing data consistency with change data capture

Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure

04:30 MIN

Integrating with databases, gRPC, and message queues

Rust Beyond Systems: Revolutionizing Web Development

05:40 MIN

Building a dynamic LRU cache with DynamoDB and CDC

Advanced Caching Patterns used by 2000 microservices

04:41 MIN

Boosting developer happiness and the future of self-service

Improving Developer Happiness with GitOps

03:06 MIN

Detailing the automated logistics use case and tech stack

Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies

03:11 MIN

Exploring other use cases for OPA beyond web APIs

Decoupled Authorization using Policy as Code

22:41 MIN

Answering questions on Kafka use cases, careers, and learning

Let's Get Started With Apache Kafka® for Python Developers

01:47 MIN

Real-world Kafka use cases at scale

Tips, Techniques, and Common Pitfalls Debugging Kafka

04:17 MIN

The hidden complexity of event-driven architectures

Is your backend a hodgepodge of queues, event stores and cron jobs? Durable Execution to the Rescue.

08:18 MIN

The downward spiral of platform engineering pitfalls

Forget Developer Platforms, Think Developer Productivity!

04:58 MIN

Learning from database indexes and stream processing

How Gatsby Cloud's real-time streaming architecture drives <5 second builds

04:32 MIN

Building reliable event-driven microservices with TEQ

Kubernetes and Microservices with Multi-Model Databases

02:11 MIN

Differentiating stream processing from event processing

Why and when should we consider Stream Processing frameworks in our solutions

01:35 MIN

Moving beyond tribal knowledge in event pipelines

Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata

07:34 MIN

Live demo of an auto-scaling event-driven application

Serverless Java in Action: Cloud Agnostic Design Patterns and Tips

03:23 MIN

The connectivity platform for telemetry and remote commands

Software stack under and over the hood of the fastest accelerating car in the world

02:19 MIN

Managing flight catalog and inventory with a flexible schema

Database Magic behind 40 Million operations/s

05:21 MIN

Understanding event streaming versus event sourcing

From event streaming to event sourcing 101

01:17 MIN

Recapping Kafka's capabilities for real-time data feeds

Let's Get Started With Apache Kafka® for Python Developers

01:06 MIN

Exploring KEDA for advanced event-driven autoscaling

Fifty Shades of Kubernetes Autoscaling

04:36 MIN

Why Python is ideal for data streaming frameworks

Convert batch code into streaming with Python

05:49 MIN

Using Egeria for unified search and regulatory compliance

A Data Mesh needs Open Metadata

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