Disaster Recovery with Distributed Databases - Implementing Asynchronous Replication

Explore disaster recovery strategies for distributed databases in this conference talk. Delve into the complexities of implementing asynchronous replication between data centers, addressing challenges such as fault tolerance, network failures, automatic failover, and write load spikes. Learn how ArangoDB utilizes Kafka message brokers and an incremental replication protocol for DC-to-DC replication, and discover the crucial role of Apache Mesos in managing deployment, resources, and system liveness. Gain insights from mathematician Max Neunhöffer and software engineer Jörg Schad as they discuss multimodel databases, native approaches, and replication options. Witness a live demonstration and participate in a Q&A session to deepen your understanding of distributed database disaster recovery techniques.

Introduction
Distributed Data
Different Data Models
MultiModel Databases
Native MultiModel Databases
Why Different Models
Native Approach
Replication
Options
Kafka
Arango Sync
Replication between two data centers
Demo
Questions