Apr 26, 2023

Kafka Ingestion logs

Apache Druid can handle streaming ingestion jobs at any scale. This occasionally poses challenges. Apache Kafka is a popular distributed event streaming platform, so it’s a natural choice for this presentation. As a community, we hope to improve our existing documentation of Kafka errors, so we’re hoping that this presentation will get the ball rolling. We’ll cover basics about setting up a Kafka streaming ingestion job, including a best practice tip or two such as monitoring your deployment with metrics and logs. We’ll also talk about the location of Kafka related logs within your deployment. We’ll conclude with some common Kafka ingestion errors and solutions, specifically lag and parsing.

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Physical Hardware, Digital Analytics: IoT Challenges, Best Practices, and Solutions

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Analyzing streaming data with Apache Druid

Streaming data is not only data in motion—it’s a potential source of valuable insights, ready to be harvested and utilized. The challenge is to analyze streaming data at scale and extract these insights—before...

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Real-Time Analytics in the Real World

Engineering teams increasingly have to deliver insights in real-time. But as they aim to reduce latency from event-to-insight, they also face the challenge of dealing with larger and more complex data and concurrent...

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