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June 10, 2021 | Episode 162

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

  • Transcript
  • Notes

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.

Health+ provides ongoing, real-time analysis of performance and cluster metadata for your Confluent Platform deployment, collecting only metadata so that you can continue managing your deployment, as you see fit, with complete control.

With cluster metadata being continuously analyzed, through an extensive library of expert-tested rules and algorithms, you can quickly get insights to cluster performance and spot potential problems before they occur using Health+. To ensure complete visibility, organizations can customize the types of notifications that they receive and choose to receive them via Slack, email, or webhook. Each notification that you receive is aimed at avoiding larger downtime or data loss by helping identify smaller issues before they become bigger problems.

In today’s episode, Tim Berglund (Senior Director of Developer Experience, Confluent) highlights everything that’s new in Confluent Platform 6.2 and all the latest updates.

Continue Listening

Episode 163June 15, 2021 | 25 min

Boosting Security for Apache Kafka with Confluent Cloud Private Link ft. Dan LaMotte

Enabling private links on the cloud is increasingly important for security across networks and even the reliability of stream processing. Staff Software Engineer II Dan LaMotte and his team focus on making secure connections for customers to utilize Confluent Cloud. With the option of private links, you can now also build microservices that use new functionality that wasn’t available in the past. You no longer need to segment your workflow, thanks to completely secure connections between teams that are otherwise disconnected from one another.

Episode 164June 22, 2021 | 35 min

Chaos Engineering with Apache Kafka and Gremlin

The most secure clusters aren’t built on the hopes that they’ll never break. They are the clusters that are broken on purpose and with a specific goal. When organizations want to avoid systematic weaknesses, chaos engineering with Apache Kafka® is the route to go. Patrick Brennan (Principal Architect) and Tammy Butow (Principal SRE) from Gremlin discuss how they do their own chaos engineering to manage and resolve high-severity incidents across the company.

Episode 165June 29, 2021 | 27 min

Data-Driven Digitalization with Apache Kafka in the Food Industry at BAADER

Coming out of university, Patrick Neff (Data Scientist, BAADER) was used to “perfect” examples of datasets. However, he soon realized that in the real world, data is often either unavailable or unstructured. This compelled him to learn more about collecting data, analyzing it in a smart and automatic way, and exploring Apache Kafka as a core ecosystem while at BAADER, a global provider of food processing machines. After Patrick began working with Apache Kafka in 2019, he developed several microservices with Kafka Streams and used Kafka Connect for various data analytics projects. Focused on the food value chain, Patrick’s mission is to optimize processes specifically around transportation and processing.

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If there's something you want to know about Apache Kafka, Confluent or event streaming, please send us an email with your question and we'll hope to answer it on the next episode of Ask Confluent.

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