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Scaling Kafka at Honeycomb

Honeycomb

When you send telemetry into Honeycomb, our infrastructure needs to buffer your data before processing it in our “retriever” columnar storage database. For the entirety of Honeycomb’s existence, we have used Apache Kafka to perform this buffering function in our observability pipeline. Let’s dive in.

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Real-Time Analytics and Monitoring Dashboards with Apache Kafka and Rockset

Confluent

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. However, Apache Kafka is more than just messaging. Rockset supports JDBC and integrates with other SQL dashboards like Tableau, Grafana, and Apache Superset.

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5 Key Takeaways from #Current2023

Cloudera

Recently, Confluent hosted Current 2023 (formerly Kafka summit) in San Jose on Sept 26th and 27th. This blog is for anyone who was interested but unable to attend the conference, or anyone interested in a quick summary of what happened there. I will cover key takeaways from Current 2023 and offer Cloudera’s perspective.

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The Rise of Managed Services for Apache Kafka

Confluent

As a distributed system for collecting, storing, and processing data at scale, Apache Kafka ® comes with its own deployment complexities. Luckily for on-premises scenarios, a myriad of deployment options are available, such as the Confluent Platform which can be deployed on bare metal, virtual machines, containers, etc.