Distributed-Systems on Karpoke - Just Another Blog

Understanding Caching in Distributed Systems

Tue, 20 Jun 2023 22:37:31 +0100

Understanding Caching in Distributed Systems

Fixed Partitions

Tue, 23 Aug 2022 16:58:34 +0100

Keep the number of partitions fixed to keep the mapping of data to partition unchanged when the size of a cluster changes.

» martinfowler.com | martinfowler.com

Top 5 Distributed System Design Patterns

Mon, 14 Jun 2021 11:39:46 +0100

Distributed applications are a staple of the modern software development industry. They’re pivotal to…

» DEV Community | dev.to

Distributed Systems Pattern: Low-Water Mark

Sat, 29 Aug 2020 19:59:27 +0100

An index in the write-ahead log showing which portion of the log can be discarded.

» martinfowler.com | martinfowler.com

Distributed Systems Pattern: Request Pipeline

Sat, 29 Aug 2020 19:59:21 +0100

Improve latency by sending multiple requests on the connection without waiting for the response of the previous requests.

» martinfowler.com | martinfowler.com

Distributed Systems Pattern: Singular Update Queue

Sat, 29 Aug 2020 19:59:21 +0100

Use a single thread to process requests asynchronously to maintain order without blocking the caller.

» martinfowler.com | martinfowler.com

Distributed Systems Pattern: Segmented Log

Sat, 15 Aug 2020 11:16:01 +0100

Split log into multiple smaller files instead of a single large file for easier operations.

» martinfowler.com | martinfowler.com

The design of CockroachDB

Sun, 02 Oct 2016 14:42:00 +0100

CockroachDB is a distributed SQL database. The primary design goals are scalability, strong consistency and survivability (hence the name). CockroachDB aims to tolerate disk, machine, rack, and even datacenter failures with minimal latency disruption and no manual intervention. CockroachDB nodes are symmetric; a design goal is homogeneous deployment (one binary) with minimal configuration and no required external dependencies.

» Spencer Kimball | github.com

RebornDB: The next generation distributed key-value store

Wed, 08 Jul 2015 21:34:00 +0100

Redis is advanced key-value cache and store, under BSD license. It is very fast, has many data types(String, Hash, List, Set, Sorted Set …), uses RDB or AOF persistence and replication to guarantee data security, and supplies many language client libraries. Most of all, market chooses Redis. There are many companies using Redis and it has proved its worth. Although redis is greate, it still has some disadvantages, and the biggest one is memory limitation. Redis keeps all data in memory, which limits the whole dataset size and lets us save more data impossibly.