DynamoDB - Create Table with AWS API on New Monitor Event (Instant) from Datadog API

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New Monitor Event (Instant) from the Datadog API

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DynamoDB - Create Table with the AWS API

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Getting Started#

This integration creates a workflow with a Datadog trigger and AWS action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Monitor Event (Instant) trigger
1. Connect your Datadog account
2. Select a Region
3. Select one or more Monitors
Configure the DynamoDB - Create Table action
1. Connect your AWS account
2. Select a AWS Region
3. Configure Table Name
4. Configure Key Hash Attribute Name
5. Select a Key Hash Attribute Type
6. Optional- Configure Key Range Attribute Name
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Monitor Event (Instant) on Datadog

Description:Emit new events captured by a Datadog monitor

Version:0.1.2

Key:datadog-new-monitor-event

View on GitHub

Datadog Overview#

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.

Trigger Code#

import datadog from "../../datadog.app.mjs";
import { payloadFormat } from "../common/payload-format.mjs";

export default {
  key: "datadog-new-monitor-event",
  name: "New Monitor Event (Instant)",
  description: "Emit new events captured by a Datadog monitor",
  dedupe: "unique",
  version: "0.1.2",
  type: "source",
  props: {
    datadog,
    db: "$.service.db",
    http: {
      type: "$.interface.http",
      customResponse: true,
    },
    region: {
      propDefinition: [
        datadog,
        "region",
      ],
    },
    monitors: {
      propDefinition: [
        datadog,
        "monitors",
        (c) => ({
          region: c.region,
        }),
      ],
    },
  },
  hooks: {
    async deploy() {
      // emit historical events
      const { events } = await this.datadog.getEvents({
        params: {
          start: Math.floor(this.datadog.daysAgo(7) / 1000), // one week ago
          end: Math.floor(Date.now() / 1000), // now
        },
        region: this.region,
      });
      const relevantEvents = events.filter((event) => this.monitors.includes(event.monitor_id));

      for (const event of relevantEvents.reverse().slice(-25)) {
        const payload = {
          alertTitle: event.eventTitle,
          alertType: event.alert_type,
          date: event.date_happened,
          eventMsg: event.text,
          eventTitle: event.title,
          hostname: event.host,
          id: event.id,
          lastUpdated: event.date_happened,
          link: `https://app.datadoghq.com${event.url}`,
          priority: event.priority,
          tags: event.tags.join(),
        };
        const meta = this.generateMeta(payload);
        this.$emit(payload, meta);
      }
    },
    async activate() {
      const {
        name: webhookName,
        secretKey: webhookSecretKey,
      } = await this.datadog.createWebhook(
        this.http.endpoint,
        payloadFormat,
        this.region,
      );

      console.log(`Created webhook "${webhookName}"`);
      this._setWebhookName(webhookName);
      this._setWebhookSecretKey(webhookSecretKey);

      await Promise.all(
        this.monitors.map((monitorId) =>
          this.datadog.addWebhookNotification(webhookName, monitorId, this.region)),
      );
    },
    async deactivate() {
      const webhookName = this._getWebhookName();
      await this.datadog.removeWebhookNotifications(webhookName, this.region);
      await this.datadog.deleteWebhook(webhookName, this.region);
    },
  },
  methods: {
    _getWebhookName() {
      return this.db.get("webhookName");
    },
    _setWebhookName(webhookName) {
      this.db.set("webhookName", webhookName);
    },
    _getWebhookSecretKey() {
      return this.db.get("webhookSecretKey");
    },
    _setWebhookSecretKey(webhookSecretKey) {
      this.db.set("webhookSecretKey", webhookSecretKey);
    },
    generateMeta(data) {
      const {
        id,
        eventTitle: summary,
        date: ts,
      } = data;
      return {
        id,
        summary,
        ts,
      };
    },
  },
  async run(event) {
    const webhookSecretKey = this._getWebhookSecretKey();
    if (!this.datadog.isValidSource(event, webhookSecretKey)) {
      console.log("Skipping event from unrecognized source");
      this.http.respond({
        status: 404,
      });
      return;
    }

    // Acknowledge the event back to Datadog.
    this.http.respond({
      status: 200,
    });

    const { body } = event;
    const meta = this.generateMeta(body);
    this.$emit(body, meta);
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Datadog	`datadog`	`app`	This component uses the Datadog app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
Region	`region`	`string`	Select a value from the drop down menu:`{ "label": "US1 - East", "value": "datadoghq.com" }{ "label": "US3 - West", "value": "us3.datadoghq.com" }{ "label": "US5 - Central", "value": "us5.datadoghq.com" }{ "label": "EU1 - Europe", "value": "datadoghq.eu" }{ "label": "US1-FED (FedRamp)", "value": "ddog-gov.com" }`
Monitors	`monitors`	`integer[]`	Select a value from the drop down menu.

Trigger Authentication#

Datadog uses API keys for authentication. When you connect your Datadog account, Pipedream securely stores the keys so you can easily authenticate to Datadog APIs in both code and no-code steps.

Manage your account’s API and applications keys in Datadog

About Datadog#

Cloud monitoring as a service

Action#

DynamoDB - Create Table on AWS

Description:Creates a new table to your account. [See docs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-dynamodb/classes/createtablecommand.html)

Version:0.2.1

Key:aws-dynamodb-create-table

View on GitHub

AWS Overview#

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Action Code#

import common from "../../common/common-dynamodb.mjs";
import constants from "../../common/constants.mjs";
import { toSingleLineString } from "../../common/utils.mjs";

export default {
  ...common,
  key: "aws-dynamodb-create-table",
  name: "DynamoDB - Create Table",
  description: toSingleLineString(`
    Creates a new table to your account.
    [See docs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-dynamodb/classes/createtablecommand.html)
  `),
  version: "0.2.1",
  type: "action",
  props: {
    aws: common.props.aws,
    region: common.props.region,
    tableName: {
      type: common.props.tableName.type,
      label: common.props.tableName.label,
      description: common.props.tableName.description,
    },
    keyPrimaryAttributeName: common.props.keyPrimaryAttributeName,
    keyPrimaryAttributeType: common.props.keyPrimaryAttributeType,
    // eslint-disable-next-line pipedream/props-label, pipedream/props-description
    keySecondaryAttributeName: {
      ...common.props.keySecondaryAttributeName,
      reloadProps: true,
    },
  },
  async additionalProps() {
    const props = {};

    if (this.keySecondaryAttributeName) {
      props.keySecondaryAttributeType = {
        type: "string",
        label: "Key Range Attribute Type",
        description: "The data type of the sort key",
        options: constants.dynamodb.keyAttributeTypes,
      };
    }

    // eslint-disable-next-line pipedream/props-label, pipedream/props-description
    props.billingMode = {
      ...common.props.billingMode,
      reloadProps: true,
    };

    if (this.billingMode === constants.dynamodb.billingModes.PROVISIONED) {
      props.readCapacityUnits = {
        type: "integer",
        label: "Read Capacity Units",
        description: "The maximum number of strongly consistent reads consumed per second before DynamoDB returns a `ThrottlingException`",
      };
      props.writeCapacityUnits = {
        type: "integer",
        label: "Write Capacity Units",
        description: "The maximum number of writes consumed per second before DynamoDB returns a `ThrottlingException`",
      };
    }

    // eslint-disable-next-line pipedream/props-label, pipedream/props-description
    props.streamSpecificationEnabled = {
      ...common.props.streamSpecificationEnabled,
      reloadProps: true,
    };

    if (this.streamSpecificationEnabled) {
      props.streamSpecificationViewType = {
        type: "string",
        label: "Stream Specification View Type",
        description: "When an item in the table is modified, StreamViewType determines what information is written to the table's stream. [See the docs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-dynamodb/interfaces/createtablecommandinput.html#streamspecification)",
        options: constants.dynamodb.streamSpecificationViewTypes,
      };
    }

    return props;
  },
  async run({ $ }) {
    const params = {
      TableName: this.tableName,
      AttributeDefinitions: [
        {
          AttributeName: this.keyPrimaryAttributeName,
          AttributeType: this.keyPrimaryAttributeType,
        },
      ],
      KeySchema: [
        {
          AttributeName: this.keyPrimaryAttributeName,
          KeyType: constants.dynamodb.keyTypes.HASH,
        },
      ],
    };

    if (this.keySecondaryAttributeName && this.keySecondaryAttributeType) {
      params.AttributeDefinitions.push({
        AttributeName: this.keySecondaryAttributeName,
        AttributeType: this.keySecondaryAttributeType,
      });
      params.KeySchema.push({
        AttributeName: this.keySecondaryAttributeName,
        KeyType: constants.dynamodb.keyTypes.RANGE,
      });
    }

    if (this.billingMode) {
      params.BillingMode = this.billingMode;
      if (this.billingMode === constants.dynamodb.billingModes.PROVISIONED) {
        params.ProvisionedThroughput = {
          ReadCapacityUnits: this.readCapacityUnits,
          WriteCapacityUnits: this.writeCapacityUnits,
        };
      }
    }

    if (typeof (this.streamSpecificationEnabled) === "boolean") {
      params.StreamSpecification = {
        StreamEnabled: this.streamSpecificationEnabled,
      };
      if (this.streamSpecificationViewType) {
        params.StreamSpecification.StreamViewType = this.streamSpecificationViewType;
      }
    }

    const response = await this.createTable(params);
    $.export("$summary", `Created DynamoDB table ${this.tableName}`);
    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
AWS	`aws`	`app`	This component uses the AWS app.
AWS Region	`region`	`string`	Select a value from the drop down menu.
Table Name	`tableName`	`string`	The name of the table
Key Hash Attribute Name	`keyPrimaryAttributeName`	`string`	The name of the partition key
Key Hash Attribute Type	`keyPrimaryAttributeType`	`string`	Select a value from the drop down menu:`{ "label": "string", "value": "S" }{ "label": "number", "value": "N" }{ "label": "binary", "value": "B" }`
Key Range Attribute Name	`keySecondaryAttributeName`	`string`	The name of the sort key

Action Authentication#

AWS uses API keys for authentication. When you connect your AWS account, Pipedream securely stores the keys so you can easily authenticate to AWS APIs in both code and no-code steps.

Follow the AWS Instructions for creating an IAM user with an associated access and secret key.

As a best practice, attach the minimum set of IAM permissions necessary to perform the specific task in Pipedream. If your workflow only needs to perform a single API call, you should create a user and associate an IAM group / policy with permission to do only that task. You can create as many linked AWS accounts in Pipedream as you'd like.

Enter your access and secret key below.

About AWS#

Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.

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DynamoDB - Create Table with AWS API on New Monitor Event (Instant) from Datadog API

Pipedream makes it easy to connect APIs for AWS, Datadog and 2,400+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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