World Congress 2023 • Oct 6, 2023

Database Magic behind 40 Million operations/s

Jürgen Pilz

When a single flight booking triggered 25,000 operations, traditional databases buckled. Discover how Amadeus uses NoSQL to seamlessly process 40 million operations per second with zero downtime.

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#1 about 4 min

Overview of Amadeus and its passenger booking scale

How a leading travel industry platform scaled to handle fifty million operations per second.

#2 about 3 min

Introduction to Couchbase and distributed multimodel architecture

An overview of a memory-first database merging the capabilities of Membase and CouchDB.

#3 about 2 min

Consolidating diverse database functionality within one system

Combining relational queries, document storage, and analytics prevents complex database infrastructure sprawl.

#4 about 3 min

Scaling clusters and handling automated replica failover

How independent nodes automatically rebalance workloads and provide high availability during failures.

#5 about 3 min

Managing catalog and inventory with flexible document structures

Handling heterogeneous airline fare information using unstructured documents and eventing pipelines.

#6 about 3 min

Improving application response times for customer 360 workloads

Migrating from relational systems to a document store decreases query latency for personalized passenger applications.

#7 about 3 min

Deploying hybrid architectures and cross-datacenter replication instances

Configuring global data distribution using managed services, local deployments, and container orchestration.

#8 about 3 min

Supporting offline mobile access using peer-to-peer synchronization

How edge devices utilize local storage and wireless protocols to operate without internet connectivity.

#9 about 4 min

Audience questions on database migration and data compliance

Answers to questions regarding migration paths, data compliance, and managing referential integrity in document stores.

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Audience questions on database performance, deployments, and data migrations

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Scaling database infrastructure for massive retail events

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Exploring orchestration scalability and database architecture tradeoffs

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Simplifying enterprise architecture with database-less data processing

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Audience questions on databases, freeze modes, and monitoring

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