Using Kafka-Leader-Election to Improve Scalability and Performance

Using Kafka-Leader-Election to Improve Scalability and Performance

How does leader election work in Apache Kafka®? For the past 2 ½ years, Adithya Chandra, Staff Software Engineer at Confluent, has been working on Kafka scalability and performance, specifically partition leader election. In this episode, he gives Kris Jenkins a deep dive into the power of leader election in Kafka replication, why we need it, how it works, what can go wrong, and how it's being improved. Adithya explains that you can configure a certain number of replicas to be distributed ac...

Episoder(287)

Chris Riccomini on the History of Apache Kafka and Stream Processing

Chris Riccomini on the History of Apache Kafka and Stream Processing

It’s a problem endemic to the tech world that we are always focused on what’s coming next, that we often forget to look at where we’ve been. Chris Riccomini, who was there at LinkedIn when Apache Kafk...

16 Mai 201950min

Ask Confluent #13: Machine Learning with Kai Waehner

Ask Confluent #13: Machine Learning with Kai Waehner

Gwen and Kai chat about machine learning architectures, and whether software engineers and data scientists can learn to get along. EPISODE LINKS Blogs on deploying machine learning workloads: Machine...

8 Mai 201933min

Diving into Exactly Once Semantics with Guozhang Wang

Diving into Exactly Once Semantics with Guozhang Wang

It has been said that in distributed messaging, there are two hard problems: 2) exactly once delivery, 1) guaranteed order of messages and 2) exactly once delivery. Apache Kafka® has offered exactly o...

22 Apr 201947min

Ask Confluent #12: In Search of the Lost Offsets

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

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

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

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

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

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