kafkacat
zipkin
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kafkacat | zipkin | |
---|---|---|
8 | 36 | |
3,573 | 16,729 | |
- | 0.7% | |
7.3 | 9.4 | |
over 2 years ago | 9 days ago | |
C | Java | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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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.
kafkacat
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Build a data ingestion pipeline using Kafka, Flink, and CrateDB
To communicate with Kafka, you can use Kafkacat, a command-line tool that allows to produce and consume Kafka messages using a very simple syntax. It also allows you to view the topics' metadata.
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Event Streaming Like it's 1978
Feels like you could get pretty far with kafkacat and a SQLite database.
- ZooKeeper-free Kafka is out. First Demo
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Kafcat 0.1.1 release -- a cat for kafka
This is the second release version of Kafcat. Kafcat is a Rust fully async rewrite of kafkacat.
- Primeiros passos com Kafka - Parte 2
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Spring Cloud Sleuth in action
Consume from the Kafka topic my.topic with kafkacat:
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5 Things Every Apache Kafka Developer Should Know
From the code above, you can see that to process the headers, simply use the ConsumerRecord.headers() method to return the headers. In our example above, we’re printing the headers out to the console for demonstration purposes. Once you have access to the headers, you can process them as needed. For reading headers from the command line, KIP-431 adds support for optionally printing headers from the ConsoleConsumer, which will be available in the Apache Kafka 2.7.0 release.You can also use kafkacat to view headers from the command line. Here’s an example command:
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Streaming data into Kafka S01/E04 — Loading Log files using Grok Expression
Note: In the example above, we have used kafkacat to consume the topics. The option -o-1 is used to only consume the latest message
zipkin
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Enhancing API Observability Series (Part 3): Tracing
When choosing distributed tracing tools, considerations include your technology stack, business requirements, and monitoring complexity. Zipkin, SkyWalking, and OpenTelemetry are popular distributed tracing solutions, each with its unique features.
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The Road to GraphQL At Enterprise Scale
From the perspective of the realization of GraphQL infrastructure, the interesting direction is "Finding". How to find the problem? How to find the bottleneck of the system? Distributed Tracing System (DTS) will help answer this question. Distributed tracing is a method of observing requests as they propagate through distributed environments. In our scenario, we have dozens of subgraphs, gateway, and transport layer through which the request goes. We have several tools that can be used to detect the whole lifecycle of the request through the system, e.g. Jaeger, Zipkin or solutions that provided DTS as a part of the solution NewRelic.
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OpenTelemetry Exporters - Types and Configuration Steps
Zipkin is a distributed tracing system used for tracking and analyzing how requests move through complex systems, especially in setups with many interconnected services, known as microservices.
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The Complete Microservices Guide
Distributed Tracing: Middleware for distributed tracing like Jaeger and Zipkin helps monitor and trace requests as they flow through multiple microservices, aiding in debugging, performance optimization, and understanding the system's behavior.
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zipkin VS openobserve - a user suggested alternative
2 projects | 8 Sep 2023
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The Unreasonable Effectiveness of Sequence Diagrams in MermaidJS
For microservice tracing, you might want to look at Zipkin [0], or OpenTelemetry [1]
[0] https://zipkin.io/
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Analytics for aspnet core apis?
I’ve not used a self-hosted solution before, but here’s one I found. https://zipkin.io/
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Show HN: Uptrace – open-source APM (alternative to Datadog, NewRelic)
> IMO the reason these vendors can and do charge so much is not because telemetry software is hard.
I always saw it as "they are charging for their polished UI/experience"
The UI of https://zipkin.io/ versus DataDog is kind of... not really in the same ballpark?
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Is there a beginners guide to adding observability to your applications?
There are the zipkin https://zipkin.io/ and jaeger https://www.jaegertracing.io/ packages/components you can use both have quickstarts if you consider that to be a beginner's guide.
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How to monitor Python application performance
Zipkin, which was developed by Twitter, is an open source tool for distributed tracing that can also be used to troubleshoot latency issues in your application. While Zipkin is Java-based, py_zipkin is an implementation for Python.
What are some alternatives?
Docker Compose - Define and run multi-container applications with Docker
skywalking - APM, Application Performance Monitoring System
redpanda - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
sentry-java - A Sentry SDK for Java, Android and other JVM languages.
kafcat - a rust port of kafkacat
Fluentd - Fluentd: Unified Logging Layer (project under CNCF)
Apache Kafka - Mirror of Apache Kafka
opentelemetry-specification - Specifications for OpenTelemetry
jetstream - JetStream Utilities
brave - Java distributed tracing implementation compatible with Zipkin backend services.
java-pubsublite-kafka
signoz - SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool