Moving Apache® Ignite™ into Production: 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 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

About The Moving Apache Ignite into Production Series

This webinar is the second in a series that will guide you through the best development, monitoring, and troubleshooting practices for deploying Apache Ignite across different topologies and use cases. Other topics include:

• Moving Apache Ignite into Production: An Initial Checklist
• Best Practices for Monitoring Distributed In-Memory Computing
• Best Practices for Deploying Apache Ignite in the Cloud
• Best Practices for Disaster Recovery and High Availability