Build Powerful Applications with Kafka and InfluxDB

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Developers want to query performance against historical data without slowing apps down. InfluxDB solves scalable persistence and time series analytics of large data volumes. Explore the resources below and sign up to get InfluxDB updates.

Get InfluxDB updates

Stop by and say hello

The InfluxDB team will be onsite, booth G6, at Kafka Summit London from April 25 to April 26, 2022 at the InterContinental London. Sign up to stay up to date on all our event plans for a chance to win an Arduino IoT Kit.


Live demo

Visit our booth to learn what’s new with InfluxDB & Kafka in a live demo and get answers and advice from our technical team!


1:1 Meeting with Sales onsite

Meet with the InfluxDB sales team at Kafka Summit to chat about your use case and answer your questions.



Come by our booth and say hi to snag our famous InfluxDB socks and awesome stickers for your laptop. We may even have a raffle!


Find out how to process continuous streams to detect conditions and anomalies in an instant, inspect results and analyze data.


Manage your cluster, monitor system health in easy-to-use and visualized dashboards, get automated alerts and triggers, and more.

  • BLOG

Why we decided to start a simple, fresh, fully-async Kafka client in Rust: RSKafka.

  • Download

Build software with Kafka and an easy-to-use, scalable, serverless time series platform.


Telegraf has hundreds of plugins. Here, developer Mya Longmire explains how to configure Telegraf plugins for data ingest.


Build an end-to-end data streaming pipeline for massive IoT data flows with Kafka and MQTT.


Learn how Hulu uses InfluxDB and Kafka to scale to over 1 Million metrics a second.


Monitor your entire infrastructure stack, including servers, containers, databases and cloud services.


Barbara Nelson and Rick Spencer discuss the different ways to ingest data into InfluxDB and the advantages of each one.


Step-by-step on how to develop a Telegraf parser plugin.

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