• Notes (p. 28)
• Related resources (p. 28)
Requirements
• To get access to Amazon Lookout for Metrics, you must first be added to the allow list. To request access, see Amazon Lookout for Metrics Preview. For more information about the service, see Amazon Lookout for Metrics.
Setup instructions
To create a flow with Amazon Lookout for Metrics as the destination
1. Open the Amazon AppFlow console at https://console.aws.amazon.com/appflow/.
2. Choose Create flow and enter a name for your flow.
3. Under Data encryption, choose Customize encryption settings (advanced) then select an existing customer managed key (CMK) or create a new one. The default AWS managed CMK is not supported when using Amazon Lookout for Metrics as a destination.
4. (Optional) To add a tag, choose Tags, Add tag and then enter the key name and value.
5. Choose Next.
6. For Source details, choose a supported source and provide the requested information.
7. For Destination details, choose Amazon Lookout for Metrics as the destination for your time-series data.
8. When using Amazon Lookout for Metrics as a destination, only the Run flow on schedule option is available. Specify the appropriate schedule settings, such as the frequency, start date, and start time. You can also enter an end date (optional).
Amazon Lookout for Metrics currently supports the following scheduling options:
• If the source supports minutes: you can run the flow every 5 or 10 minutes by selecting 5 or 10 from the Every dropdown list.
• If the source supports hours: you can run the flow once an hour by selecting 1 from the Every dropdown list.
• If the source supports days: you can run the flow once a day by selecting 1 from the Every dropdown list.
9. Choose Next.
10. Under Source to destination field mapping, go to the Source field name dropdown list and choose Map all fields directly. Alternatively, you can manually select the fields that you want to use from the list.
Notes
NoteA timestamp field is not required in your data. However, in order to use the anomaly detection feature of Amazon Lookout for Metrics, you need at least one measure or numeric column with values changing over time.
11. (Optional) Under Validations - optional, add validations to check whether a field has bad data. For each field, choose the condition that indicates bad data and what action Amazon AppFlow should take when a field in a record is bad.
12. Choose Next.
13. (Optional) Specify a filter to determine which records to transfer. To add a filter, choose Add filter, select the field name, select a condition, and then specify the criteria.
14. Choose Next.
15. Review the settings and then choose Create flow.
Notes
• The default AWS managed CMK is not supported when using Amazon Lookout for Metrics as a destination.
• The following sources are supported when using Amazon Lookout for Metrics as a destination:
• Amplitude
• Dynatrace
• Google Analytics
• Infor Nexus
• Marketo
• Salesforce
• ServiceNow
• Singular
• Trend Micro
• Veeva
• Zendesk
• Amazon Lookout for Metrics currently supports the following scheduling options:
• If the source supports minutes: you can run the flow every 5 or 10 minutes
• If the source supports hours: you can run the flow once an hour
• If the source supports days: you can run the flow once a day
Related resources
• Amazon Lookout for Metrics service page
• Amazon Lookout for Metrics Preview
Amplitude
The following are the requirements and connection instructions for using Amplitude with Amazon AppFlow.
NoteYou can use Amplitude as a source only.
Requirements
Topics
• Requirements (p. 29)
• Connection instructions (p. 29)
• Notes (p. 30)
• Related resources (p. 30)
Requirements
You must provide Amazon AppFlow with the API key and secret key for the project with the data that you want to transfer. Your API key can be found on the Settings page of the Amplitude dashboard. For more information about how to retrieve this information from Amplitude, see Settings in the Amplitude documentation.
Connection instructions
To connect to Amplitude while creating a flow
1. Open the Amazon AppFlow console at https://console.aws.amazon.com/appflow/.
2. Choose Create flow.
3. For Flow details, enter a name and description for the flow.
4. (Optional) To use a customer managed CMK instead of the default AWS managed CMK, choose Data encryption, Customize encryption settings and then choose an existing CMK or create a new one.
5. (Optional) To add a tag, choose Tags, Add tag and then enter the key name and value.
6. Choose Next.
7. Choose Amplitude from the Source name dropdown list.
8. Choose Connect to open the Connect to Amplitude dialog box.
a. Under API key, enter your API key.
b. Under Secret key, enter your secret key.
c. Under Data encryption, enter your AWS KMS key.
d. Under Connection name, specify a name for your connection.
e. Choose Connect.
Notes
9. You will be redirected to the Amplitude login page. When prompted, grant Amazon AppFlow permissions to access your Amplitude account.
Now that you are connected to your Amplitude account, you can continue with the flow creation steps as described in Getting started with Amazon AppFlow (p. 6).
TipIf you aren’t connected successfully, ensure that you have followed the instructions in the Requirements (p. 29).
Notes
• When you use Amplitude as a source, you can run schedule-triggered flows at a maximum frequency of one flow run per day.
• Amplitude can process 25 MB of data as part of a single flow run.
Related resources
• Settings in the Amplitude documentation
• Breaking Data Silos with Amazon AppFlow and Amplitude from Inside Amplitude
Datadog
Datadog
The following are the requirements and connection instructions for using Datadog with Amazon AppFlow.
NoteYou can use Datadog as a source only.
Topics
• Requirements (p. 31)
• Connection instructions (p. 31)
• Notes (p. 32)
• Related resources (p. 32)
Requirements
• You must provide Amazon AppFlow with an API key and an application key. For more information about how to retrieve your API key and application key, see the API and Application Keys information in the Datadog documentation.
• You must configure your flow with a date range and query filter.
Connection instructions
To connect to Datadog while creating a flow
1. Open the Amazon AppFlow console at https://console.aws.amazon.com/appflow/.
2. Choose Create flow.
3. For Flow details, enter a name and description for the flow.
4. (Optional) To use a customer managed CMK instead of the default AWS managed CMK, choose Data encryption, Customize encryption settings and then choose an existing CMK or create a new one.
5. (Optional) To add a tag, choose Tags, Add tag and then enter the key name and value.
6. Choose Next.
7. Choose Datadog from the Source name dropdown list.
8. Choose Connect to open the Connect to Datadog dialog box.
a. Under API key, enter your API key.
b. Under Application key, enter your application key.
c. Under Select region, select the region for your instance of Datadog.
d. Under Data encryption, enter your AWS KMS key.
e. Under Connection name, specify a name for your connection.
f. Choose Connect.
Notes
9. You will be redirected to the Datadog login page. When prompted, grant Amazon AppFlow permissions to access your Datadog account.
Now that you are connected to your Datadog, you can continue with the flow creation steps as described in Getting started with Amazon AppFlow (p. 6).
TipIf you aren’t connected successfully, ensure that you have followed the instructions in the Requirements (p. 31) section.
Notes
• When you use Datadog as a source, you can run schedule-triggered flows at a maximum frequency of one flow run per minute.
Related resources
• API and Application Keys information in the Datadog documentation
Dynatrace
Dynatrace
The following are the requirements and connection instructions for using Dynatrace with Amazon AppFlow.
NoteYou can use Dynatrace as a source only.
Topics
• Requirements (p. 33)
• Connection instructions (p. 33)
• Notes (p. 34)
• Related resources (p. 34)
Requirements
• You must provide Amazon AppFlow with an API token. For more information about how to retrieve or generate an API token to use with Amazon AppFlow, see the Access tokens instructions in the Dynatrace documentation.
• You must configure your flow with a date filter with a date range that does not exceed 30 days.
Connection instructions
To connect to Dynatrace while creating a flow
1. Open the Amazon AppFlow console at https://console.aws.amazon.com/appflow/.
2. Choose Create flow.
3. For Flow details, enter a name and description for the flow.
4. (Optional) To use a customer managed CMK instead of the default AWS managed CMK, choose Data encryption, Customize encryption settings and then choose an existing CMK or create a new one.
5. (Optional) To add a tag, choose Tags, Add tag and then enter the key name and value.
6. Choose Next.
7. Choose Dynatrace from the Source name dropdown list.
8. Choose Connect to open the Connect to Dynatrace dialog box.
a. Under API token, enter your API token.
b. Under Subdomain, enter the subdomain for your instance of Dynatrace.
c. Under Data encryption, enter your AWS KMS key.
d. Under Connection name, specify a name for your connection.
e. Choose Connect.
Notes
9. You will be redirected to the Dynatrace login page. When prompted, grant Amazon AppFlow permissions to access your Dynatrace account.
Now that you are connected to your Dynatrace account, you can continue with the flow creation steps as described in Getting started with Amazon AppFlow (p. 6).
TipIf you aren’t connected successfully, ensure that you have followed the instructions in the Requirements (p. 33).
Notes
• When you use Dynatrace as a source, you can run schedule-triggered flows at a maximum frequency of one flow run per minute.
Related resources
• Access tokens instructions in the Dynatrace documentation
• Dynatrace API documentation for more information about the types of data you can extract from Dynatrace
• Dynatrace is launch partner of Amazon AppFlow – a service for easy and secure data transfer from Dynatrace Resources