Export from PagerDuty to Google Cloud Storage
CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.
The CloudQuery PagerDuty plugin allows you to sync data from PagerDuty to any destination, including Google Cloud Storage. It takes only minutes to get started.
PagerDuty
The CloudQuery PagerDuty plugin extracts PagerDuty data and loads it into any supported CloudQuery destination
Google Cloud Storage
This destination plugin lets you sync data from a CloudQuery source to remote GCS (Google Cloud Storage) storage in various formats such as CSV, JSON and Parquet
Table of Contents
MacOS Setup
Step 1. Install CloudQuery
brew install cloudquery/tap/cloudquery
Step 2. Log in to CloudQuery CLI
Logging in is required to use premium plugins and premium tables in open-core plugins.
cloudquery login
Step 3. Configure PagerDuty source plugin
You can find more information about the configuration in the plugin documentation
Step 4. Configure Google Cloud Storage destination plugin
You can find more information about the configuration in the plugin documentation
kind: destination
spec:
name: "gcs"
path: "cloudquery/gcs"
registry: "cloudquery"
version: "v4.0.1"
write_mode: "append"
spec:
bucket: "bucket_name"
path: "path/to/files/{{TABLE}}/{{UUID}}.{{FORMAT}}"
format: "parquet" # options: parquet, json, csv
format_spec:
# CSV-specific parameters:
# delimiter: ","
# skip_header: false
# Optional parameters
# compression: "" # options: gzip
# no_rotate: false
# batch_size: 10000
# batch_size_bytes: 52428800 # 50 MiB
# batch_timeout: 30s
Step 5. Run Sync
cloudquery sync pagerduty.yml gcs.yml