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Distributed Systems Content on InfoQ


Latest featured content about Distributed Systems

A P2P Digital Self with TeleHash

Topics
Strange Loop 2011,
Strange Loop,
Distributed Systems,
Conferences,
Architecture

Jeremie Miller presents how to create a fully distributed data network in which nodes communicate directly with each other using UDP, JSON and Kademlia, without relying on central servers.

News about Distributed Systems

VMware vFabric SQLFire Is Both an SQL Distributed Cache and a Datastore

Topics
Caching,
Visualization,
Clustering & Caching,
Operations,
Distributed Systems,
Data Access,
VMWare,
Monitoring,
Infrastructure,
Database,
GemFire,
Performance & Scalability,
Architecture,
Companies

VMware vFabric SQLFire is an in-memory distributed SQL-based cache which can work with a traditional database to persist data to disk.

Presentations about Distributed Systems

Akka: Reloaded

Topics
JVM,
Virtual Machines,
Akka,
Runtimes,
Java,
Strange Loop 2011,
Languages,
Strange Loop,
Concurrency,
Distributed Systems,
Performance & Scalability,
Conferences,
Programming,
STM,
Architecture

Josh Suereth presents the new features available in Akka 2.0: clustered actors, including stateless and stateful ones, replication and the Cluster API.

On Distributed Failures (and handling them with Doozer)

Topics
Strange Loop 2011,
Strange Loop,
Distributed Systems,
Reliability,
Conferences,
Architecture,
Failure

Blake Mizerany presents various ways that can lead to system failure in distributed systems and how to recover using Doozer, a highly available, consistent data store.

Distributed Systems: What Nobody Told You

Topics
Riak,
Strange Loop 2011,
Distributed Document Oriented Database,
Stories & Case Studies,
Strange Loop,
NoSQL,
Distributed Systems,
Conferences,
Database,
Architecture,
Agile,
Redis,
Nagios

Shaneal Manek tells the story of how things can go wrong with a distributed system which turned into a success after incorporating appropriate tools for monitoring, analytics, logging, security.

Storm: Distributed and Fault-tolerant Real-time Computation

Topics
Strange Loop 2011,
Fault Tolerance,
Distributed Systems,
Strange Loop,
Infrastructure,
Architecture,
Conferences,
Twitter,
Storm,
Statistics

Nathan Marz explain Storm, a distributed fault-tolerant and real-time computational system currently used by Twitter to keep statistics on user clicks for every URL and domain.

ElasticSearch - A Distributed Search Engine

Topics
REST,
Distributed Systems,
Architecture,
Search,
Enterprise Architecture,
What's Next

Shay Banon demoes ElasticSearch, an open source distributed and RESTful search engine, detailing some of its features: distributed, cloud readiness, facets, and percolator.

Things Break, Riak Bends

Topics
Riak,
QCon London 2011,
Distributed Document Oriented Database,
Fault Tolerance,
QCon,
NoSQL,
Distributed Systems,
Architecture,
Failure,
Infrastructure,
Conferences,
Database

Justin Sheehy talks about failure and the need to prepare for it, giving some real life examples along with techniques implemented in Riak to make it resilient to faults.

Building Solid Distributed Applications with Haskell and Riak

Topics
Riak,
Distributed Document Oriented Database,
Haskell,
Stories & Case Studies,
Distributed Systems,
NoSQL,
Functional Programming,
Database,
Architecture,
Agile,
Performance & Scalability,
Programming,
Erlang Factory 2011

Bryan O'Sullivan discusses the design considerations and types usage when building distributed systems with Haskell and Riak, starting from a case study of a system using vector clocks.

LinkedIn Search: Searching the Social Graph in Real Time

Topics
QCon San Francisco 2010,
Stories & Case Studies,
Distributed Systems,
QCon,
Architecture,
Search,
Real Time,
Agile,
LinkedIn,
Conferences,
Lucene

John Wang discusses LinkedIn real-time distributed search engine architecture and implementation details for People Search, Signal, Stream Indexing, Zoie, and Bobo.

Riak Core: Dynamo Building Blocks

Topics
Riak,
Big Data,
Distributed Document Oriented Database,
Amazon,
QCon San Francisco 2010,
Data Access,
NoSQL,
Database Design,
Distributed Systems,
QCon,
IaaS,
Companies,
Cloud Computing,
Architecture,
Conferences,
Database

Andy Gross discusses the design philosophy behind Riak based on Amazon Dynamo - Gossip Protocol, Consistent Hashing, Vector clocks, Read Repair, etc. -, overviewing its main features and architecture.