While the World Buffers, We Act.
We tore down the facade. With No Mercy Magenta and a new voice we challenge 'real-time' pretenders. We are the authoritative operator for sovereign, low-latency AI. The world is buffering. We are not.
Fabian Wilckens
engineering. Product. Apache Flink. No Filler.
Technical depth from the team that built Apache Flink. Architecture decisions, performance benchmarks, production patterns, and product announcements. Published when there is something worth reading.
Fabian Wilckens
Streamhouse Unveiled
Streamhouse is unified batch and stream architecture on Ververica Cloud: a fully managed cloud-native service that runs your Apache Flink® applications.
Ververica19 min read
Apache Paimon: the Streaming Lakehouse
Discover Apache Paimon, the powerful streaming lakehouse that combines the flexibility of data lakes and the optimization of data warehouses.
Giannis Polyzos15 min read
Bootstrap Data Pipeline via Flink HybridSource
Learn how to easily bootstrap a data pipeline using Apache Flink's HybridSource. This blog post provides a step-by-step guide and code examples.
Alexey Novakov5 min read
Ververica Academy: Pioneering the Future of Apache Flink® Education
Learn the fundamentals of Apache Flink® and stream processing in this engaging course. Develop high-performance applications and explore Flink SQL.
Ververica3 min read
Batch Processing vs Stream Processing
Batch processing and stream processing are two different models for processing data. This blog post explores their differences, provides use case examples
Ververica10 min read
Stream Enrichment in Flink
Stream enrichment in Apache Flink breathes life into data, transforming it from grayscale to full color. Discover the three ways to access reference data.
Ververica7 min read
All You Need to Know About PyFlink
If you find yourself needing real-time computing solutions and you're comfortable with the Python or want to use some handy Python libraries in the process
Ververica22 min read
Stream Processing Scalability: Challenges and Solutions
Discover the challenges and solutions in developing stream processing systems and how Ververica's Platform and Cloud can simplify the process.
Ververica18 min read
Joining Highly Skewed Streams in Flink SQL
Learn how to handle data skews in stream joining for aggregation-related cases with Flink SQL. Discover potential solutions and how to implement them.
Ververica8 min read
Flink's Test Harnesses Uncovered
We will demonstrate how to use Fink's test harnesses to verify the correctness of Flink's built-in operators and custom user-defined functions (UDFs).
Ververica5 min read
Flink SQL Secrets: Mastering the Art of Changelog Event Out-of-Orderness
Explore the complexities of changelog event out-of-orderness in Flink SQL and discover solutions to ensure reliable real-time data processing.
Jun Quin16 min read
How-to guide: Synchronize MySQL sub-database and sub-table using Flink CDC
This tutorial will show you how to use Flink CDC to build a real-time data lake to synchronize MySQL sub-database and sub-table
Ververica4 min read