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Caching Across Layers in Software Architecture

DZone

The purpose of this article is to help readers understand what is caching, the problems it addresses, and how caching can be applied across layers of system architecture to solve some of the challenges faced by modern software systems.

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Design Patterns: Cache-Aside Pattern

cdemi

Applications that rely heavily on a data-store usually can benefit greatly from using the Cache-Aside Pattern. If used correctly, this pattern can improve performance and help maintain consistency between the cache and the underlying data store. If the item exists in the cache, you can use that. Lifetime of Cached Data.

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Redis vs Memcached

Software Architecture

Redis vs Memcached was originally published in Software Architecture on Medium, where people are continuing the conversation by highlighting and responding to this story. Redis can not handle heavy traffic on read/write. Memcached maximum key length is 250 bytes whereas Redis has a maximum of 2gigs.

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Use Digital Twins for the Next Generation in Telematics

ScaleOut Software

It sends messages over the cell network to the telematics system, which uses its compute servers (that is, web and application servers) to store incoming messages as snapshots in an in-memory data grid , also known as a distributed cache. This new software technique has the potential to make a major impact on the telematics industry.

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ABAC on SpiceDB: Enabling Netflix’s Complex Identity Types

The Netflix TechBlog

Over time, each node caches a subset of subproblems to support a distributed cache, reduce the datastore load, and achieve SpiceDB’s horizontal scalability. SpiceDB walks the graph and decomposes it into subproblems. These subproblems are assigned through consistent hashing and dispatched to a node in a cluster running SpiceDB.

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Design Patterns: Series Introduction

cdemi

This is not going to be the usual, gang of four design patterns series, but rather more suited towards building a modern application architecture that caters for the increasing requirements for east-west communication and easily scaling up and deploying. Cache Aside Pattern. How does it work? Queue-Based Load Leveling Pattern.

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AB Testing?—?So You Know What Really Works

Adrian Cockcroft

In a small system this may be a table in a central relational database, but it’s best setup as a NoSQL data source using something like Amazon DynamoDB or Apache Cassandra, with a caching client library or at large scale a microservice data access layer.

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