InfoQ Homepage Key-Value Store Content on InfoQ
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Spring Boot Microservices, Containers, and Kubernetes - How-to
R Tsang shows how to create a Java-based microservice using Spring Boot, containerize it using Maven plugins and deploy a fleet of microservices and dependent components such as Redis using Kubernetes
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Modern Apps & Microservices
Bob Familiar introduces microservices, discussing their architecture and outlining cloud deployment scenarios, exemplified by a live demo on Microsoft Azure.
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NoSQL Like There is No Tomorrow
The authors take a deep dive into the history of NoSQL at Amazon.com, from the world of relational databases to the Dynamo days to the world of managed services like DynamoDB.
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How WebMD Maintains Operational Flexibility with NoSQL
Rajeev Borborah, Matthew Wilson discuss using NoSQL at WebMD -architecture, benefits, roadmap-, with details on caching and key-value storage implementation behind a few of the WebMD applications.
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Building a Multi-Master Distributed Redis in Erlang
Chad DePue presents the process of building Edis, a Redis clone written in Erlang, allowing pluggable backends and implementing the Paxos algorithm.
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Scaling Pinterest
Details on Pinterest's architeture, its systems -Pinball, Frontdoor-, and stack - MongoDB, Cassandra, Memcache, Redis, Flume, Kafka, EMR, Qubole, Redshift, Python, Java, Go, Nutcracker, Puppet, etc.
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Amazon DynamoDB Design Patterns & Best Practices
Siva Raghupathy discusses DynamoDB Design Patterns & Best Practices for realizing DynamoDB benefits at the right cost.
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Dynamo: Theme and Variations
Shanley Kane discusses Dynamo - consistent hashing, vector clocks, hinted handoff, gossip protocol - advances in each area, and how querying and application development has changed as a result of them
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Real World Redis
David Czarnecki discusses several Redis data structures and their associated libraries used in real cases for building leaderboards, relationships and activity feeds.
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Spring Data - NoSQL - No Problems...
Peter Bell introduces 4 NoSQL categories –Key-Value, Document, Column, Graph - and explains how one can use Spring Data to work with such data stores.
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Need Some Cache? Redis in Depth
Chris Meadows introduces Redis, explaining what it is good for, what does it take to be run, and what’s under the hood through a social networking code example.
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Dynamo Is Not Just for Datastores
Susan Potter discusses Dynamo, Riak, distribution, consistency and fault tolerance, along with techniques and an example for building an application with riak_core.
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