with Datadog and Jira?
Emit new event when an event with subscribed event source triggered, See the docs
Emit new event when an issue is created. Note that Jira supports only one webhook, if more sources are needed please use New Event
source and select multiple events.
Emit new event when an issue is deleted. Note that Jira supports only one webhook, if more sources are needed please use New Event
source and select multiple events.
Emit new event when an issue is updated. Note that Jira supports only one webhook, if more sources are needed please use New Event
source and select multiple events.
Adds multiple attachments to an issue, See the docs
Adds a user as a watcher of an issue by passing the account ID of the user, For example, 5b10ac8d82e05b22cc7d4ef5
, If no user is specified the calling user is added. See the docs
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}`,
},
})
},
})
The Jira API opens up a world of possibilities for automating project management tasks, syncing with other tools, and enhancing data visibility. With Pipedream's integration, you can streamline issue tracking by automatically creating, updating, and searching for issues in Jira, as well as managing projects, sprints, users, and more. This integration not only saves time but also ensures real-time data flow across various platforms, keeping teams in sync and projects on track.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
jira: {
type: "app",
app: "jira",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.atlassian.com/me`,
headers: {
Authorization: `Bearer ${this.jira.$auth.oauth_access_token}`,
},
})
},
})