kafka-lag-exporter
demo-scene
kafka-lag-exporter | demo-scene | |
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2 | 24 | |
633 | 1,455 | |
- | 0.5% | |
0.0 | 5.7 | |
2 months ago | 15 days ago | |
Scala | Shell | |
Apache License 2.0 | Apache License 2.0 |
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kafka-lag-exporter
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What kind of monitoring tools are people using for their Kafka Deployment?
- https://github.com/prometheus/jmx_exporter - https://github.com/lightbend/kafka-lag-exporter (Export Kafka Topics Lag Metrics) - https://github.com/danielqsj/kafka_exporter (Export Kafka Metrics) - https://github.com/obsidiandynamics/kafdrop (Topic Administration tool - create/edit/delete topics & view messages)
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Some cool features you may don’t know about Apache Kafka
Kafka Lag Exporter is not part of the Apache Kafka project nor the Confluent Platform. It’s an open-source project under Apache-2.0 License to export Consumer Lag with reporters like Prometheus, Graphite, or InfluxDB. Kafka Lag Exporter enables to monitor Consumer Lag but it also allows to estimate the Time Lag. This metric shows how far a Consumer group is behind the last produced record in terms of time. It shows the actual latency of a consumer application. For more information about this estimation, you can read the chapter of the documentation Estimate Consumer Group Time Lag
demo-scene
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Confused and frustrated about Kafka
Here’s a great place to dig into things: https://developer.confluent.io
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Getting Started as a Kafka Developer
Once you’ve decided on a language to focus on, it’s time to start filling those knowledge gaps. Don’t be discouraged by this step. We all have knowledge gaps, and filling them can be very rewarding. First, you’ll want to make sure you have a good understanding of Kafka basics. Fortunately, there are many resources to help you with this. A web search will turn up many great books and other resources. And, of course, Confluent Developer offers interactive courses ranging from introductory (Apache Kafka 101) to advanced (Kafka Internals), full documentation, and other content to help you get started.
- Any suggestions for writing a long thesis about Kafka's scalability, availability and fault-tolerance?
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What Are Apache Kafka Consumer Group IDs?
Confluent Developer: Learn Apache Kafka through Confluent Developer tutorials, documentation, courses, blog posts, and examples.
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Problems with the set-up
Spend some time on https://developer.confluent.io , especially https://developer.confluent.io/get-started/java/ and look at https://github.com/confluentinc/examples . Those will give really practical examples for how to set up your configs and start consuming
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Looking For Suggestions on The Definitive Guide (V2)
FWIW you'll find a bunch of promo codes over at developer.confluent.io
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Kafka to fetch data from another microservices
Kafka streams is a Java library built on the producer/consumer APIs designed to create event-driven microservices on top of Kafka. In general, I recommend exploring https://developer.confluent.io to learn more
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Creating topics and console consumers using a dockerized Kafka cluster?
For example: https://github.com/confluentinc/demo-scene/tree/master/kafka-connect-zero-to-hero
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A few starter questions: What is a good setup for learning? Is Confluent platform ok?
should I be reading a different material for a first Kafka project and working with a different kind of setup? Now, I can't be unbiased on this one ;) One of the things we're doing with Confluent Developer is to try and create a resource for people to learn Kafka from the ground up, whether they ultimately decide to pursue it on Confluent or not. The fundamentals of Kafka that you'll be learning are going to be as applicable whether you're using Apache Kafka self-managed, or Confluent, or AWS' MSK, or whatever else. Personally I'd this stage I'd use whatever setup you find easiest and least friction to your learning journey. As u/louisvell mentioned, /u/stephanemaarek's courses on Udemy are also very popular, if you wanted a "second opinion" on how to approach learning Kafka.
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Kafka Learning Path
https://developer.confluent.io they’ve thought about this question very deeply
What are some alternatives?
kafka_exporter - Kafka exporter for Prometheus
docker-kafka-kraft - Apache Kafka Docker image using Kafka Raft metadata mode (KRaft). https://hub.docker.com/r/moeenz/docker-kafka-kraft
akhq - Kafka GUI for Apache Kafka to manage topics, topics data, consumers group, schema registry, connect and more...
cp-all-in-one - docker-compose.yml files for cp-all-in-one , cp-all-in-one-community, cp-all-in-one-cloud, Apache Kafka Confluent Platform
Telegraf - The plugin-driven server agent for collecting & reporting metrics.
examples - Apache Kafka and Confluent Platform examples and demos
jmx_exporter - A process for exposing JMX Beans via HTTP for Prometheus consumption
protoactor-go - Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
Apache Kafka - Mirror of Apache Kafka
kafka-connect-opensky - Kafka Source Connector reading in from the OpenSky API
kafdrop - Kafka Web UI
confluent-kafka-python - Confluent's Kafka Python Client