InfoQ Homepage Distributed Data Content on InfoQ
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How Do You Distribute Your Database over Hundreds of Edge Locations?
Erwin van der Koogh explains a new model that Cloudflare has developed to distribute a database over hundreds of locations, and where it could go next.
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Mind Your State for Your State of Mind
Pat Helland provides a partial taxonomy of diverse storage solutions available over a distributed cluster.
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CockroachDB: Architecture of a Geo-Distributed SQL Database
Peter Mattis talks about how Cockroach Labs addressed the complexity of distributed databases with CockroachDB and gives a tour of CockroachDB’s internals.
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The Future of Distributed Databases Is Relational
Sumedh Pathak talks about his team’s journey to create a more modern relational database, distributed systems, scaling Postgres, distributed query planner and the distributed deadlock detection.
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Wall St. Derivative Risk Solutions Using Geode
Andre Langevin and Mike Stolz discuss how Geode forms the core of many Wall Street derivative risk solutions which provide cross-product risk management at speeds suitable for automated hedging.
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GoshawkDB: Making Time with Vector Clocks
Matthew Sackman discusses dependencies between transactions, how to capture these with Vector Clocks, how to treat Vector Clocks as a CRDT, and how GoshawkDB uses them for a distributed data store.
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Staying in Sync: from Transactions to Streams
Martin Kleppmann explores using event streams and Kafka for keeping data in sync across heterogeneous systems, and compares this approach to distributed transactions.
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Functional Distributed Programming with Irmin
Anil Madhavapeddy introduces the Irmin library by means of a functional queue, shows how the Git mirroring works, and then demonstrates some more complex applications.
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Ground-up Introduction to In-memory Data
Viktor Gamov covers In-Memory technology, distributed data topologies, making in-memory reliable, scalable and durable, when to use NoSQL, and techniques for Big In-Memory Data.
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Making Distributed Data Persistent Services Elastic (Without Losing All Your Data)
Joe Stein introduces Mesos and managing data services on it, presenting use cases for replacing classic solutions (like cold storage) with new functionality based on these technology.
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Scaling Uber's Real-time Market Platform
Matt Ranney explains the Uber architecture overall, with a focus on the dispatch systems, the geospatial index, handling failure, and dealing with the distributed traveling salesman problem.
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Programming and Testing a Distributed Database
Reid Draper shows how real world distributed database work, communicate and are tested, trading RPC for messaging, unit-tests for QuickCheck, and micro-benchmarks for multi-week stress tests.
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