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
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
How-to guide: Build Streaming ETL for MySQL and Postgres based on Flink CDC
Learn how to build a real-time streaming ETL pipeline for MySQL and Postgres using Flink CDC, integrating data into Elasticsearch without coding.
Ververica5 min read
Streaming modes of Flink-Kafka connectors
Explore the Flink-Kafka connectors in the Table API, focusing on append and upsert modes, and learn which is best for your data streaming needs.
Alexey Novakov9 min read
How to test your Flink SQL Application
Learn effective methods for testing your Apache Flink SQL applications, including manual and automated testing techniques and best practices for different Flink versions.
Ververica8 min read
Flink SQL: Detecting patterns with MATCH_RECOGNIZE
Discover how to use MATCH_RECOGNIZE in Flink SQL for detecting patterns in data, enabling real-time insights through effective event processing.
Ververica4 min read
Flink SQL: Queries, Windows, and Time - Part 2
Explore the intricacies of Flink SQL with in-depth examples on time windows, including chained, non-chained, hopping, and rolling aggregations for effective data analysis.
Ververica5 min read
Flink SQL: Queries, Windows, and Time - Part 1
Explore the significance of time in stream processing with Flink SQL, covering timestamps, time attributes, and temporal operators for real-time data analysis.
Ververica9 min read
Flink SQL: Deduplication
Learn how to effectively deduplicate data in stream processing with Flink SQL, enhancing data quality and performance in your analytics workflows.
Ververica4 min read