kafdrop
schema-registry
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kafdrop | schema-registry | |
---|---|---|
12 | 6 | |
4,374 | 1,926 | |
2.7% | 1.8% | |
8.6 | 9.7 | |
8 days ago | 6 days ago | |
Java | Java | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
kafdrop
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Getting Started as a Kafka Developer
Kafdrop - https://github.com/obsidiandynamics/kafdrop
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UI for Serverless AWS MSK (Kafka)
No mentions, and 1 open issue with a question 2) Kafka Drop https://github.com/obsidiandynamics/kafdrop
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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)
Kafdrop (https://github.com/obsidiandynamics/kafdrop) is very popular and pretty solid. I'd start there. Kafka itself also comes with some cli tools and you can also extract metrics out of it via JMX/jolokia.
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How Sendoso is using Kafka for Event-Driven Architecture
Kafdrop
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Go, Kafka, gRPC and MongoDB microservice with metrics and tracing 👋
Good kafka docker setup with enclouded UI is confluent, but it's had huge images size and will download a half of world wide internet to your local pc.🤖 For this reason here as UI client i used kafdrop
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An Overview About the Different Kafka Connect Plugins
Kafdrop from Obsidian Dynamics (GitHub) => http://localhost:8082/
schema-registry
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Testing a Kafka consumer with Avro schema messages in your Spring Boot application with Testcontainers
So that means we can configure the Kafka producer and consumer with an imaginary schema registry url, that only needs to start with “mock://” and you automatically get to work with the MockSchemaRegistryClient. This way you don't need to explicitly initiate the MockSchemaRegistryClient and configure everything accordingly. That also eradicates the need for the Confluent Schema Registry Container. Running the Kafka Testcontainer with the embedded Zookeeper, we no longer need an extra Zookeeper container and we are down to one Testcontainer for the messaging. This way I ended up with only two Testcontainers: Kafka and the database.
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confluent Schema Registry and Rust
Confluent is a company founded by the creators of Apache Kafka. They are providing the Confluent Platform which consists of several components, all based on Kafka. The license for these components vary. The Schema Registry has the community-license, which basically means it's free to use as long as you don't offer the Schema Registry itself as a SaaS solution. The source code can be found on Github.
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An Overview About the Different Kafka Connect Plugins
Schema Registry from Confluent (GitHub) => http://localhost:8081/
What are some alternatives?
kafka-ui - Open-Source Web UI for Apache Kafka Management
akhq - Kafka GUI for Apache Kafka to manage topics, topics data, consumers group, schema registry, connect and more...
schema-registry-gitops - Manage Confluent Schema Registry subjects through Infrastructure as code
aws-eks-kubernetes-masterclass - AWS EKS Kubernetes - Masterclass | DevOps, Microservices
rust-rdkafka - A fully asynchronous, futures-based Kafka client library for Rust based on librdkafka
Protobuf - Protocol Buffers - Google's data interchange format
Kouncil - Powerful dashboard for your Kafka. Monitor status, manage groups, topics, send messages and diagnose problems. All in one user friendly web dashboard.
kafka-connect-quickstart - Example project to play around with Apache Kafka Connect. There are examples to develop and deploy Kafka Connect plugins (connectors, transforms, etc.) from a Java Maven project.
kafka-manager - CMAK is a tool for managing Apache Kafka clusters
kafka-connect-ui - Web tool for Kafka Connect |
nri-prometheus - Fetch metrics in the Prometheus metrics inside or outside Kubernetes and send them to the New Relic Metrics platform.