Elastic Integrates with Google Cloud Dataflow
September 28, 2021
has made new capabilities and updates to the Elastic Stack and Elastic Cloud to
simplify data management and onboarding for customers and enable them to achieve
faster data insights.
New capabilities include a native Google Cloud data source integration with
Google Cloud Dataflow, providing customers with faster data ingestion in Elastic
Cloud and a simplified data architecture. Using Google Cloud’s native serverless
ETL service, this integration allows users to quickly and securely ingest
Pub/Sub, Big Query, and Cloud Storage data directly into their Elastic Cloud
Support for Google Private Service Connect, now generally available, provides
private connectivity from Google Cloud virtual private clouds to Elastic Cloud
deployments. Customers can now privately and securely connect their Elastic
Cloud deployments to their Google Cloud environments using Private Service
Connect endpoints, ensuring their data is not exposed on the open internet.
to Elasticsearch and Kibana include enhancements to runtime fields, giving users
new ways to explore their data with the flexibility of schema on read and schema
on write for onboarding and searching new data and delving into ad hoc analysis.
Composite runtime fields enables users to streamline field creation using one
script to output multiple fields, making it easier and more intuitive for users
to ingest new data for faster insights. Additionally, a new preview pane in the
runtime fields editor enables users to test and preview new fields before they
are created and also includes better error handling for the editor to streamline
and accelerate the field creation process.
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