Accelerate Release Velocity and Quality with Modern DevOps Test Data Management Practices
summary
Shows how Delphix ingests large production sources (15–20 TB), compresses and snapshotting them as immutable images, and delivers masked, consistent copies into pipelines within minutes so CI/CD fits timeboxed builds. Describes API-first automation with Jenkins/GitLab, Terraform, ServiceNow and Jira integrations, replication with delta-only syncs, and masking that profiles sensitive fields. Demonstrates branching/ bookmarking of data for fast triage, ephemeral environments that spin up/down to cut cloud cost, and a real example of huge instances (128 CPUs, ~2 TB RAM) used for three-hour tests.
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chapters (12)
- 0:00Start
- 1:21Slow to Fast Application Releases
- 2:46Data Stands in the Way of DevOps Velocity
- 3:55The Value of Ephemeral Data for DevOps
- 6:17Teams Wait for Data, Limited Environments
- 6:55Test Data and Environments Are Increasingly Targets of Attack
- 7:32Benefits of DevOps Maturity
- 9:10Best Practices for DevOps Test Data Management
- 12:35DevOps Data Platform
- 14:40Lack of Data Wastes 40% of Development Lifecycle
- 15:25Enable Hybrid Cloud Development and Testing
- 35:21Delphix Automates Data in DevOps Pipelines
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