Ask Confluent #12: In Search of the Lost Offsets
Stanislav Kozlovski joins us to discuss common pitfalls when using Kafka consumers and a new KIP that promises to make consumer restarts much smoother. EPISODE LINKS KIP-345: Static consumer membersh...
17 Apr 201922min
Ben Stopford on Microservices and Event Streaming
Microservices are pretty ubiquitous these days. Really “SOA done right,” they reimagine the services pattern in the context of the world we live in today, nearly two decades since the first big servic...
8 Apr 201958min
Magnus Edenhill on librdkafka 1.0
After several years of development, librdkafka has finally reached 1.0! It remains API compatible with older versions of the library, so you won’t need to make any changes to your application. There a...
3 Apr 201946min
Ask Confluent #11: More Services, More Metrics, More Fun
Do metrics for detecting clients from old versions actually exist? Or is Gwen making features up? This and more useful advice is coming up on today's episode of Ask Confluent. EPISODE LINKS The Java ...
26 Mar 201914min
It’s Time for Streaming to Have a Maturity Model ft. Nick Dearden
Nick Dearden explains the five stages of streaming maturity. They are not denial, anger, bargaining, depression and acceptance—that’s the Kübler-Ross model, and it’s for bad things. This one is for aw...
18 Mar 201936min
Containerized Apache Kafka On Kubernetes with Viktor Gamov
Kubernetes provides all the building blocks needed to run stateful workloads, but creating a truly enterprise-grade Apache Kafka® platform that can be used in production is not always intuitive. In th...
11 Mar 201941min
Catch Your Bus with KSQL: A Stream Processing Recipe by Leslie Kurt
We all know that feeling of waiting when your ride is running late. Leslie Kurt shares about how you can use KSQL to calculate the difference between the expected arrival time and real-time updates of...
4 Mar 201919min
KTable Update Suppression (and a Bunch About KTables) ft. John Roesler
When you are dealing with streaming data, it might seem like tables are things that dwell in the far-off land of relational databases, outside of Apache Kafka and your event streaming system. But then...
27 Feb 201945min
