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Episode 244November 22, 2022 | 29 min

Improving Apache Kafka Scalability and Elasticity with Tiered Storage

What happens when you need to store more than a few petabytes of data? Rittika Adhikari (Software Engineer, Confluent) discusses how her team implemented tiered storage, a method for improving the scalability and elasticity of data storage in Apache Kafka. She also explores the motivating factors for building it in the first place: cost, performance, and manageability.

Episode 208April 12, 2022 | 10 min

Confluent Platform 7.1: New Features + Updates

Confluent Platform 7.1 expands upon its already innovative features, adding improvements in key areas that benefit data consistency, allow for increased speed and scale, and enhance resilience and reliability. Following the standard for every Confluent release, Confluent Platform 7.1 is built on the most recent version of Apache Kafka 3.1, including KIP-768: extend SASL/OAUTHBEARER with support for OIDC, KIP-773: Differentiate consistently metric latency measured in mills and nanos, as well as KIP-775: Custom partitioners in foreign-key-joins.

Episode 185November 9, 2021 | 12 min

Confluent Platform 7.0: New Features + Updates

Confluent Platform 7.0 has launched and includes Apache Kafka 3.0, plus new features introduced by KIP-630: Kafka Raft Snapshot, KIP-745: Connect API to restart connector and task, and KIP-695: Further improve Kafka Streams timestamp synchronization. Reporting from Dubai, Tim Berglund (Senior Director, Developer Advocacy, Confluent) provides a summary of new features, updates, and improvements to the 7.0 release, including the ability to create a real-time bridge from on-premises environments to the cloud with Cluster Linking.

Episode 162June 10, 2021 | 9 min

Confluent Platform 6.2 | What’s New in This Release + Updates

Based on Apache Kafka® 2.8, Confluent Platform 6.2 introduces Health+, which offers intelligent alerting, cloud-based monitoring tools, and accelerated support so that you can get notified of potential issues before they manifest as critical problems that lead to downtime and business disruption.

Episode 151April 7, 2021 | 24 min

Resurrecting In-Sync Replicas with Automatic Observer Promotion ft. Anna McDonald

As most developers and architects know, data always needs to be accessible no matter what happens outside of the system. This week, Tim Berglund virtually sits down with Anna McDonald (Principal Customer Success Technical Architect, Confluent) to discuss how Automatic Observer Promotion (AOP) can help solve the Apache Kafka 2.5 datacenter dilemma, a feature now available in Confluent Platform 6.1 and above.

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