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In-Memory Caching: Curb Tail Latency with Pelikan
Yao Yue introduces Pelikan, a framework to implement distributed caches such as Memcached and Redis.
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Microservices to FastData in the Enterprise with Spring
John T Davies is using Spring Integration and Spring Boot to ingest gigabytes of complex data into two different in-memory data grids (IMDGs), showing the design and implementation with several demos.
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The Lightning Memory-mapped Database
Howard Chu discusses the Lightning Memory-Mapped Database (LMDB) design and architecture, and its impact on other projects such as OpenLDAP.
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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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Web Clustering, Integration with Terracotta, BigMemory, Quartz & Grails
Ryan Vanderwerf speaks about the roles of cache clustering, session clustering, and quartz clustering with open source Terracotta, Quartz, and BigMemory.
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An API for Distributed Computing
Cliff Click introduces a coding style & API for in-memory analytics that handles datasets from 1K to 1TB without changing a line of code and clusters with TB of RAM and hundreds of CPUs.
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Equity – Transparent and Live Risk Assessment
Tormod Varhaugvik provides a design and rationale for an In Memory and Big Data architecture for live equity and risk assessment, using Tax Norway’ new architecture as an example.
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In-Memory Message & Trade Repositories
John Davies walks through a reference implementation of a in-memory database meant to combine dozens of different legacy databases developed by banks over time.
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Fighting the 21st Century Fraudster
Kunal Bhasin discusses in-memory and Big Data computing techniques used for the detection of banking fraud in real time.
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Design Patterns for Distributed Streaming Data Environments
Explore widely used patterns in distributed streaming data environments for several use cases such as high availability, disaster recovery, hybrid integration, and cloud migration. We will discuss each pattern while using Redpanda as a reference and highlighting its architecture and capabilities.