with Kafka and Datadog?
import { Kafka } from "kafkajs"
export default defineComponent({
props: {
kafka: {
type: "app",
app: "kafka",
}
},
async run({steps, $}) {
const kafka = new Kafka({
brokers: [`${this.kafka.$auth.host}:${this.kafka.$auth.port}`],
});
const consumer = kafka.consumer({ groupId: 'TestGroup' });
await consumer.connect()
await consumer.subscribe({ topic: 'SampleTopic', fromBeginning: true });
let consumedMessage = "";
const eachMessage = async function({ topic, partition, message }){
consumedMessage = message.value.toString();
return consumedMessage;
};
await consumer.run({
eachMessage,
});
const producer = kafka.producer();
await producer.connect()
await producer.send({
topic: 'SampleTopic',
messages: [
{ value: 'Welcome KafkaJS + Pipedream users! '+ new Date().toISOString() },
],
});
await producer.disconnect();
const data = await consumer.describeGroup();
return { consumedMessage, groupDescription: data };
},
})
The Datadog API, accessible through Pipedream, empowers you to programmatically interact with Datadog's monitoring and analytics platform. This enables developers to automate the retrieval of monitoring data, manage alert configurations, and synchronize service health information across systems. With Pipedream's serverless execution model, you can create intricate workflows that react to Datadog events or metrics, manipulate the data, and pass it on to other services or even Datadog itself for a cohesive operational ecosystem.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
datadog: {
type: "app",
app: "datadog",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.datadoghq.com/api/v1/user`,
headers: {
"DD-API-KEY": `${this.datadog.$auth.api_key}`,
"DD-APPLICATION-KEY": `${this.datadog.$auth.application_key}`,
},
})
},
})