Data In, Data Out: The Easiest Way to Stream Data
Alex Haugland explains why @WarpStreamLabs's simplicity is exactly the Apache Kafka abstraction @cursor_ai needs.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Data Security Is Everything
Alex Haugland shares why @cursor_ai uses @WarpStreamLabs to ensure all data sits entirely inside their controlled S3 storage, while letting them train and build better AI models.
The Future of Coding: How Cursor and WarpStream Power AI Productivity | Life Is But A Stream
Software development is changing fast. With Cursor, Anysphere is building an AI-forward IDE that fuses human creativity with machine intelligence. At the heart of this transformation is data streaming—making it possible to train models responsibly, deliver lightning-fast Tab completions, and scale telemetry without breaking engineering velocity. In this episode, engineer Alex Haugland shares how WarpStream gives Cursor sovereignty over user data, how telemetry and accounting pipelines strengthen product decisions, and why “coding is really just a bug” in how we interact with computers.
Cross-Data-Center Apache Kafka Replication: Decision Framework & Readiness Playbook
Building distributed systems is a huge undertaking, but the complexity doesn’t end once your application or platform is “production ready.” Keeping these systems online and operational through cloud region outages, a network partition, or just scheduled maintenance is a constant challenge. The bottom line: you don’t want data pipelines for essential business services, customer-facing products, or enterprise data platforms to go dark.
Scaling Kafka Streams Applications: Strategies for High-Volume Traffic
As the adoption of real-time data processing accelerates, the ability to scale stream processing applications to handle high-volume traffic is paramount. Apache Kafka, the de facto standard for distributed event streaming, provides a powerful and scalable library in Kafka Streams for building such applications. Scaling a Kafka Streams application effectively involves a multi-faceted approach that encompasses architectural design, configuration tuning, and diligent monitoring.
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Streaming Kafka Events in Real Time via WebSocket APIs
Imagine that you need to know the exact location of the train that you’re about to catch. Trains can be equipped with IoT sensors that can publish location coordinates via Kafka streams in real time. You will be using a mobile application to view a train’s location. Mobile applications and web applications are compatible with WebSocket, a web-friendly protocol, but the location data is received via a Kafka stream. How do we convert the real-time Kafka feed into a real-time WebSocket feed?
Is a Data Monster Terrorizing Your Tech Stack?
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A 4-Min Tour of Confluent Cloud
Watch this overview of Confluent Cloud and see all of the products and features that let you integrate data streams across external systems and create enriched, trustworthy data products on AWS, Microsoft Azure, and Google Cloud.
5 Minute Overview of Confluent Platform
Learn how Confluent Platform has transformed Apache Kafka with a cloud-native architecture that makes it faster, more performant and easier to securely manage and scale your on premises and hybrid cloud environments.