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December 30, 2019 | Episode 76

Multi-Cloud Monitoring and Observability with the Metrics API ft. Dustin Cote

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  • Notes

The role of monitoring hosted services is evolving, but the ability to let go of the details to get what you are paying for with SaaS has always been there. Dustin Cote (Product Manager for Observability, Confluent Cloud) talks about Apache Kafka® made serverless and how beyond just the brokers, Confluent Cloud focuses on fitting into customer systems rather than building monitoring silos. 

When it comes to monitoring, logging, tracing, and alerting, Dustin defines what they all mean and how they operate in a database before diving into the requirements needed in order for a properly observable cloud service to exist and on-prem service. 

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Episode 77January 8, 2020 | 48 min

Location Data and Geofencing with Apache Kafka ft. Guido Schmutz

One way to put Apache Kafka into action is geofencing and tracking the location data of objects, barges, and cars in real time. Guido Schmutz shares about one such use case involving a German steel company and the development project he worked on for them.

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Episode 78January 13, 2020 | 25 min

Making Apache Kafka Connectors for the Cloud ft. Magesh Nandakumar

Learn about connectors, how they simplify data integrations, and how they're built for Confluent Cloud for use on major cloud providers like GCP, Azure, and AWS to help implement Apache Kafka within existing systems in an easy way.

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Episode 79January 22, 2020 | 14 min

Confluent Platform 5.4 | What's New in This Release + Updates

A quick summary of new features, updates, and improvements in Confluent Platform 5.4, including Role-Based Access Control (RBAC), Structured Audit Logs, Multi-Region Clusters, Confluent Control Center enhancements, Schema Validation, and the preview for Tiered Storage.This release also includes pull queries and embedded connectors in preview as part of KSQL.

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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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