Eventually Consistent - All Things Distributed - The Diigo Meta page

• 24 May 17
  

  jackl56

  Architecture

  • Both require the client developer to be aware of what the system is offering. If the system emphasizes consistency, the developer has to deal with the fact that system may not be available to take for example a write. If this write fails because of system unavailability the developer will have to deal with what to do with the data to be written. If the system emphasizes availability, it may always accept the write but under certain conditions a read will not reflect the result of a recently completed write. The developer then has to make a decision about whether the client requires access to the absolute latest update all the time. There is a range of applications that can handle slightly stale data and they are served well under this model
  • • Strong consistency. After the update completes any subsequent access (by A, B or C) will return the updated value. 
    • Weak consistency. The system does not guarantee that subsequent accesses will return the updated value. A number of conditions need to be met before the value will be returned. Often this condition is the passing of time. The period between the update and the moment when it is guaranteed that any observer will always see the updated value is dubbed the inconsistency window. 
    • Eventual consistency. The storage system guarantees that if no new updates are made to the object eventually (after the inconsistency window closes) all accesses will return the last updated value. The most popular system that implements eventual consistency is DNS, the domain name system. Updates to a name are distributed according to a configured pattern and in combination with time controlled caches, eventually of client will see the update
• 27 Dec 14
  

  Paul Topping

  consistency cloud

• 23 Jan 14
  

  William Gunn

  Xie: Inconsistency in Twitter #altmetrics is side effect of "eventual consistency" systems used by large webservices: http://t.co/nnpyOg8bz1

  altmetrics via:packrati.us

• 20 Nov 12
  

  Alexey Tarasevich
  • The period between the update and the moment when it is guaranteed that any observer will always see the updated value is dubbed the inconsistency window.
• 19 Sep 12
  

  Kal De
• 14 Jun 11
  

  Sven Duzont

  scalability database architecture consistency concurrency programming

• 20 Jan 11
  

  Bo Li
• 22 Dec 10
  

  Allen Gaminde

  eventually consistent nosql

• 21 Nov 10
  

  Lodovico Ketjapo

  cloud nosql

• 29 Oct 10
  

  Matheus Muller

  consistency architecture amazon replication scalability database concurrency

• 28 Apr 10
  

  Dan Chisarick

  distributed database scalability architecture amazon replication concurrency consistency programming

• 22 Mar 10
  

  mat tat

  database webserver webservices

• 07 Dec 09
  

  Samuel Vijaykumar

  Know this, this what S3 Does.

  Eventually Consistent S3 AWS

• 01 May 09
  

  alimanfoo

• 16 Apr 09
  

  Joel Simpson

  database Architecture amazon aws concurrency distributed scalability replication consistency fromdelicious

• 20 Nov 08
  

  Hugo Zonda

  Interesting readings from Werner Vogels.

  scalability software design architecture best-practice

• 

  Niko Schmuck

  Interesting readings from Werner Vogels.

  scalability software design architecture best-practice

• 25 Oct 08
  

  CAP

  werner_volgels cap_theorem scalability distributed_computing delicious

• 21 Sep 08
  

  timwee

  distributed systems scaling architecture concurrency database amazon eventual-consistency

• 25 Aug 08
  

  Thomas L

  delicious

• 22 Aug 08
  

  DJHell .

  Recently there has been a lot of discussion about the concept of eventual consistency in the context of data replication. In this positing I would like to try to collect some of the principles and abstractions related to large scale data replication and t

  Cloud Computing eventual consistency ungelesen importiert Cloud Computing

• 24 Jul 08
  

  Mike King

  replication

• 23 Jun 08
  

  Tim Lossen

  "Recently there has been a lot of discussion about the concept of eventual consistency in the context of data replication. In this positing I would like to try to collect some of the principles and abstractions related to large scale data replication ..."

  databases consistency persistence

• 12 Jun 08
  

  Andrew Gilmartin

  I would like to try to collect some of the principles and abstractions related to large scale data replication and the trade-offs between high-availability and data consistency.

  distributed data

• 06 May 08
  

  amazon article consistency storage database scalability architecture replication distributed

• 22 Apr 08
  

  dschwarz

  distributed database scalability architecture consistency

• 06 Feb 08
  

  Drew Sudell

  eventual consistency scalability distributed for:trumant

• 31 Jan 08
  

  aj

  architecture distributed scalability research consistency database amazon

• 18 Jan 08
  

  dalehagglund

  amazon werner vogel blog eventually consistent database consistency distributed scalable systems storage network networking performance software

• 14 Jan 08
  

  Loren Rosen

  Java

• 11 Jan 08
  

  Qu Ux

  distributed database amazon scalability replication delicious

• 07 Jan 08
  

  Steve Radman

  db

• 

  distributed systems scalability scaling storage amazon consistency CAP theorem integrity availability

• 03 Jan 08
  

  Stelios Sfakianakis

  concurrency scalability architecture consistency replication **** cap distributed

• 31 Dec 07
  

  Tony Pearson

  consistency replication

• 

  Trebor Scholz

  who

• 23 Dec 07
  

  Norman Kabir

  concurrency distributed

• 21 Dec 07
  

  Pascal Molli

  consistency eventual-consistency

• 

  Frank Colcord

  Database Ruby

• 

  Dan Creswell

  A great reference piece from a master....

  distributed systems consistency

• 

  Boris Tsipenyuk

  ContinuityGrid

• 20 Dec 07
  

  tvaananen

  Werner Vogels talks about distributed systems and eventual consistency vs. the ACID properties.

  IT architecture scalability database

• 

  Torsten Curdt

  scalability

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