Practical Pipelines: Houseplant Soil Alerting System with ksqlDB
Develop a houseplant soil alerting system using ksqlDB, exploring practical pipeline implementation for real-time data processing and monitoring.
The Future of Application Development - Cloud Native Summit
Explore Kappa architecture, stream processing, and LLM integration for innovative application development. Learn to build scalable systems leveraging real-time data and AI capabilities.
Using the FLiPN Stack for Edge AI
Explore the FLiPN stack for building fast IoT and AI applications. Learn how Apache Flink, NiFi, and Pulsar combine to create scalable streaming solutions for edge computing and rapid data ingestion.
A Gentle Introduction to Event Streaming and Processing Using Apache Pulsar
Explore event-driven systems, Apache Pulsar's unique capabilities in cloud-native applications, and its advantages over Apache Kafka. Learn about integrating Pulsar with Spring framework.
Event Streaming for the Best of All Worlds
Explore event streaming's potential to revolutionize data processing and integration across diverse systems, enhancing real-time decision-making and operational efficiency.
What the Flux - How to Stop Worrying and Love Reactor
Explore reactive programming with Project Reactor, mastering concepts like Flux and Mono for efficient, non-blocking data handling in Java applications.
Building Scalable and Resilient Event-Driven Applications with Apache Pulsar
Explore Apache Pulsar's capabilities for building scalable, resilient event-driven applications. Learn key concepts, best practices, and see a live demonstration of Pulsar's power in action.
Developing a Stream Processing Application with Apache Kafka and Quarkus
Build high-performance Kafka-based event-driven architectures using Quarkus and MicroProfile Reactive Messaging. Learn through live coding, showcasing patterns and development techniques.
Application Data Streaming with Apache Kafka and Swim
Explore real-time data streaming with Apache Kafka and Swim. Learn about stateful business logic, stream processing, and creating dynamic UIs for actionable insights from distributed data sources.
Building a Real-Time AI Data Platform with Apache Kafka
Explore building a real-time AI data platform using Apache Kafka, focusing on migrating from batch to stream processing without stateful components. Learn about Forecasty.ai's journey and innovative solutions.
Restate: Stream Processing for Microservices
Explore a novel system for microservices that handles state, communication, and consistency. Learn how it complements event-processing systems for complex control flow and coordination in distributed applications.
Flink SQL: The Challenges to Build a Streaming SQL Engine
Explore challenges in building a streaming SQL engine like Flink SQL. Learn about late data handling, change data processing, event ordering, nondeterminism, and state storage in stream processing.
Anomaly Detection on Time Series Data Using Apache Flink
Implement real-time anomaly detection on network activity time series data using Apache Flink. Compare EWMA and PEWMA algorithms for effective intrusion detection in cloud-native deployments.
The Nuts and Bolts of Kafka Streams - An Architectural Deep Dive
Explore Kafka Streams' internal architecture for efficient application deployment and tuning. Learn threading models, partition assignment, and key configurations to optimize performance and scalability.
Building a Dynamic Rules Engine with Kafka Streams
Develop a real-time threat detection system using Kafka Streams. Learn to handle dynamic rule modifications, implement external data feeds, and apply best practices for stream processing.
Creación de una Data Pipeline con KPIs - Fluentbit, Kafka, Python y PostgreSQL
Aprende a crear una Data Pipeline eficiente utilizando fluentbit, Kafka, Python y PostgreSQL. Domina la generación de KPIs y explora herramientas como CloudBeaver.
CDC Stream Processing with Apache Flink
Explore Apache Flink's capabilities as a data integration hub, focusing on its SQL engine for changelog processing, CDC data handling, and materialized view maintenance. Learn about data source semantics and system integrations.
When to Move from Batch to Streaming and How to Do It Without Hiring an Entirely New Team
Demystify the transition from batch to real-time processing. Learn arguments, architectures, pitfalls, and open-source tools for stream processing without overhauling your team.
Real-Time Streaming Using Apache Kafka
Explore Apache Kafka streams for building scalable, fault-tolerant streaming applications with parallel processing capabilities.
CodeCamp: Introduction to Reactive Programming
Explore reactive programming concepts and techniques to build scalable, responsive applications. Learn to handle asynchronous data streams efficiently.
Akka Streams: Creating Graphs and Dynamic Components
Learn to create Akka streams graphs using graph DSL, explore non-linear components, and design dynamic graphs for efficient stream processing and ingestion.