Konstantin Knauf

Jan 29, 2024 | svgeurope.org | Konstantin Knauf

By Konstantin Knauf, Qvest Europe managing director. If you like sport and broadcasting, 2024 will be a very special year: European championships in football and handball, Summer Olympics, Paralympics, and more events, “step onto the pitch” with linear TV, over the top (OTT), social media feeds, and other output channels.

Jan 2, 2024 | thenewstack.io | Andrew Sellers |Konstantin Knauf |Parasar Kodati |Mark Gamble

It’s always challenging to predict the future, but there’s at least one certainty for data engineers in 2024: Their work will continue to be highly valued. The rapid growth of generative AI and the ongoing shift from batch to stream processing are among the trends that will keep data engineers busy next year. Here are five predictions for how the data engineering landscape will progress in the year ahead. 1.

Dec 28, 2023 | thenewstack.io | Joab Jackson |Richard MacManus |Andrew Sellers |Konstantin Knauf

We entered 2023 with the recognition that platform engineering could ease the complexities that modern developers face, but we ended the year realizing we still get need to get the tooling correct to support the practice. This is the takeaway from the the 2024 State of Internal Developer Portals, published earlier this month by platform engineering portal provider Port.

Dec 12, 2023 | confluent.io | Konstantin Knauf

Dec 12, 2023Read Time: 8 minDec 12, 2023Read Time: 8 minImagine easily enriching data streams and building stream processing applications in the cloud, without worrying about capacity planning, infrastructure and runtime upgrades, or performance monitoring. That's where our serverless Apache Flink® service comes in, as announced at this year’s Current | The Next Generation of Kafka Summit.

Nov 1, 2023 | thenewstack.io | Konstantin Knauf |Débora Cambé |Chris Latimer |Richard MacManus

Apache Kafka has become the go-to platform for streaming data across an enterprise, but streaming is even more valuable when the data can be cleaned, enriched and made available for additional use cases downstream. That’s where stream processing comes in. Stream processing allows you to continually consume data streams, process them with additional business logic and turn them into new streams that others can repurpose for their own applications.