In-Memory Computing Meets Database Durability: Best Practices for Native Persistence and Data Recovery

In-Memory Computing Meets Database Durability: Best Practices for Native Persistence and Data Recovery

As an in-memory computing platform, GridGain and Apache Ignite support native persistence that stores data and indexes transparently on non-volatile memory, SSD or disk. When persistence is enabled, memory becomes a cache for the most frequently used data and indexes. Native persistence is ACID-compliant, durable and enables immediate availability on a restart of each node. Data is never lost; GridGain supports full and incremental snapshots along with continuous archiving, and provides Point-in-Time recovery to an individual transaction.

Join Ivan Rakov, one of the senior engineers who developed native persistence, backup and Point-in-Time recovery, as he provides his insights into the underlying architecture and best practices for implementing native persistence in production. This session will cover:

- An architectural overview of native persistence, and centralized backup and recovery 

- Tips and tricks for for configuring and managing persistence

- Best practices for checkpointing, using the Write-Ahead Log (WAL) and restoring from a failure

- Performance tuning recommendations to balance durability and performance, including how to create snapshots under load