Bugsnag

Error Monitoring & App Stability Management

Integrate the Bugsnag API with the Data Stores API

Setup the Bugsnag API trigger to run a workflow which integrates with the Data Stores API. Pipedream's integration platform allows you to integrate Bugsnag and Data Stores remarkably fast. Free for developers.

Add or update a single record with the Data Stores API

Add or update a single record in your Pipedream Data Store.

 
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Add or update multiple records with the Data Stores API

Add or update multiple records to your Pipedream Data Store.

 
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Append to record with the Data Stores API

Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.

 
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Check for existence of key with the Data Stores API

Check if a key exists in your Pipedream Data Store or create one if it doesn't exist.

 
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Delete a single record with the Data Stores API

Delete a single record in your Pipedream Data Store.

 
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Overview of Bugsnag

The Bugsnag API enables you to interact programmatically with Bugsnag data, letting you manage and access error reports, project settings, and release tracking for your applications. With Pipedream's integration, you can automate workflows that respond to new errors, aggregate error data for analysis, or synchronize error information with other tools in your development stack.

Connect Bugsnag

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bugsnag: {
      type: "app",
      app: "bugsnag",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.bugsnag.com/user`,
      headers: {
        "Authorization": `token ${this.bugsnag.$auth.api_token}`,
      },
    })
  },
})

Overview of Data Stores

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

Connect Data Stores

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export default defineComponent({
  props: {
    myDataStore: {
      type: "data_store",
    },
  },
  async run({ steps, $ }) {
    await this.myDataStore.set("key_here","Any serializable JSON as the value")
    return await this.myDataStore.get("key_here")
  },
})