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Apache Kafka REST Proxy
The Apache Kafka REST Proxy API provides developers a seamless way to integrate with Kafka clusters using RESTful HTTP requests, ideal for data applications.
Developed by Confluent
99.90%Uptime
120msLatency
152Stars
API KeyAuth
NoCredit Card
RESTStyle
v3Version
API Endpoints
Reference for available routes, request structures, and live examples.
Publishes messages to a Kafka topic
Full Endpoint URL
https://docs.confluent.io/topics/{topic} Implementation Example
curl -X POST 'https://docs.confluent.io/topics/{topic}' \
-H 'Authorization: Bearer YOUR_API_KEY'Request Payload
{
"records": [
{
"key": "user123",
"value": "{\"action\":\"login\",\"time\":1689782400}"
}
]
}Expected Response
{
"offsets": [
{
"offset": 42,
"partition": 0
}
]
}Version:v2
Real-World Applications
- Building real-time analytics platforms with streaming dataOptimized Capability
- Creating reactive applications that respond to event streamsOptimized Capability
- Developing microservices that require persistent messagingOptimized Capability
- Integrating data processing pipelines in scalable architecturesOptimized Capability
Advantages
- ✓ Simplifies Kafka integration via RESTful HTTP interface
- ✓ Supports multiple payload formats including JSON and Avro
- ✓ Enables consumer group management and topic operations
- ✓ Seamlessly integrates with existing Kafka clusters
Limitations
- ✗ Not a replacement for full Kafka client functionality in complex scenarios
- ✗ Rate limits may impact high-throughput applications
- ✗ Latency higher than native Kafka clients due to HTTP overhead
- ✗ Limited public documentation on rate limits and advanced configuration
FAQs
API Specifications
v3Pricing Model
Usage-based with free tier and paid options depending on throughput and supportCredit Card
Not RequiredResponse Formats
JSON, AvroSupported Languages
6 LanguagesSDK Support
Java, Python, Go Time to Hello World
Minutes
Rate Limit
1000 requests per minute
Free Tier Usage
Up to 500,000 requests per month with limited throughput and access to community support
Use Case: Best For
Developers building event-driven microservices and real-time streaming applications
Not Recommended For
High-throughput Kafka client requirements needing minimal latency
#streaming#kafka
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