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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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A Heroku Postgres fork creates a writable point-in-time snapshot of a database that does not stay synchronized with the parent, while a follower is a read-only replica that continuously streams changes from its leader in real time. Forks are suited for isolated testing or analysis; followers are suited for live read scaling, high availability, and zero-downtime migrations.