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Keep Your Cache Always Fresh with Debezium! by Gunnar Morling
Use Debezium to keep your cache always fresh with real-time change data capture, improving application performance, scalability, and fault-tolerance.
- Use Debezium to capture changes in a database and stream them to caches for improved application performance.
- Caches can be used to denormalize data, reducing the need for complex joins and improving query performance.
- Debezium can be used to create a distributed cache architecture, where data is replicated across multiple nodes for improved availability and scalability.
- Caches can be used to improve application performance by reducing the load on the database and improving query performance.
- Debezium can be used to create a data pipeline that captures changes in a database and streams them to other systems, such as search indexes.
- Caches can be used to reduce the need for complex joins and improve query performance.
- Debezium can be used to create a distributed cache architecture that is scalable and fault-tolerant.
- Caches can be used to improve application performance by reducing the load on the database and improving query performance.
- Debezium can be used to create a data pipeline that captures changes in a database and streams them to other systems, such as search indexes.
- The key challenge is how to keep the cache always fresh and up-to-date with the latest changes from the database.
- Debezium can be used to create a distributed cache architecture that is scalable and fault-tolerant.
- Caches can be used to reduce the need for complex joins and improve query performance.
- Debezium can be used to create a data pipeline that captures changes in a database and streams them to other systems, such as search indexes.
- The resulting architecture is stateful, where the application state is kept in the cache and updated as changes occur in the database.
- Debezium can be used to create a distributed cache architecture that is scalable and fault-tolerant.
- Caches can be used to reduce the need for complex joins and improve query performance.
- Debezium can be used to create a data pipeline that captures changes in a database and streams them to other systems, such as search indexes.
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The key takeaways are:
- Use Debezium to capture changes in a database and stream them to caches for improved application performance.
- Caches can be used to denormalize data, reducing the need for complex joins and improving query performance.
- Debezium can be used to create a distributed cache architecture that is scalable and fault-tolerant.
- Debezium is a project for change data capture and can be used to create a data pipeline that captures changes in a database and streams them to other systems, such as search indexes.