AlertFind PagerDuty Connector

Looking to automate AlertFind Data Import? Yes! this is the place to be. Our PagerDuty Connector will make automation a breeze

In order to perform a successful connection to your PagerDuty instance, we just need the following information and that's it!

  1. Access Token: This token can be found or generated in the settings of the instance using an Admin account.

Once we have a successful connection, it will enable us to populate your AlertFind instance with the following information:

  • Name
  • Email
  • Job Title
  • Role
  • Time Zone

How does our PagerDuty connector works.

The below graphic explains the various nodes involved in the transition of data from your PagerDuty instance to AlertFind.

Detailed Steps Explaining Above Graphic:

  1. PagerDuty connector fetches the User information stored in your instance via API.

  2. Based on your chosen frequency, our connector running on AWS Lambda, fetches data from PagerDuty instance.

  3. At this stage, data goes through the validation and processing and is finally transformed into a CSV.

  4. The CSV is compressed to a Zip file and sent to AlertFind API via the AlertFind Connector running on AWS Lambda.

Data Storage Nodes in Above Graphic:

  1. Node 5:  Refers to Apache Cassandra Cluster which store the data for execution purposes. It has a TTL of 7 days after workflow execution has finished.

  2. Node 6: Refers to Elastic Search Cluster used for indexing data for 30 days so that it can be searched within the logs interface.

  3. Data Safety: All Data is encrypted in transit via HTTPS, using TLS 1.3 encryption internally. Sensitive customer data, such as access tokens, usernames and passwords are encrypted at rest using Amazon Key Management Service (KMS), which uses FIPS 140-2 validated hardware security modules.

We encourage you to keep searching the connector that suits your needs in our main AlertFind Connector List under the section System of Records Integrations by clicking the button below.

AlertFind Connector List