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Heroku Architect
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Demonstrate knowledge of Heroku Postgres, including data handling, security, and common use cases for follower databases. Describe the use cases of Dataclips.
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What is the difference between a Heroku Postgres fork and a Heroku Postgres follower?
Learn this conceptWhen should a Heroku Postgres fork versus a follower be used?
Learn this conceptHow does PgBouncer (connection pooling) address Heroku Postgres connection exhaustion?
Learn this conceptHow does Heroku Postgres handle encryption at rest and in transit?
Learn this conceptWhat compliance scenarios does Heroku Postgres encryption address?
Learn this conceptArchitect solutions using Apache Kafka on Heroku to facilitate streaming communication between applications, services, or functions.
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Architect solutions using Heroku Key-Value Store
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Demonstrate the ability to prescribe a third-party add-on and add-on sharing, when appropriate.
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Heroku Postgres forking creates a standalone, writable snapshot of a production database at a point in time, making it the correct tool for testing schema migrations safely. Followers are read-only replicas that stay continuously synchronized with the leader, so they cannot accept the DDL writes required to run a migration script.