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skip to content making things better jonny leroy's writings on technology and society scroll down to content posts posted on december 22, 2017 january 4, 2018 reliability under abnormal conditions preparing systems for the ‘100-year wave’ keeping complex distributed systems available to service customer requests under peak load is hard. the challenge is exacerbated by a number of factors: the combination of increasing number of services, servers and external integrations and the rapid pace of new feature delivery; heavy spikes in load during annual peak periods; and traffic anomalies driven by promotions and external events. luckily, there are strategies that support your ability to serve your customers and keep generating revenue by limiting the impact of problems — even if it is not feasible to reduce the risk to zero. here’s the thing: in distributed systems, or in any mature, complex application of scale built by good engineers … the majority of your questions trend towards the unknown-unknown. debugging distributed systems looks like a long, skinny tail of almost-impossible things rarely happening. you can’t predict them all; you shouldn’t even try. you should focus your energy on instrumentation, resilience to failure, and making it fast and safe to deploy and roll-back (via automated canaries, gradual rollouts, feature flags, etc). — charity majors breaking down the problem the two major dimensions to address are: preventing as many issues from arising as possible; and then limiting the impact of issues that do arise. prevention is often described as increasing mean time between failures (mtbf) and mitigation is decreasing mean time to recovery (mttr), though time may not be as important a measure as impact on revenue or customer experience — more on that later. for both prevention and mitigation, there are cost/benefit trade-offs. cost is measured not just in dollars, but also in the delays to push out new features — an opportunity cost. ultimately, every organization needs to make its own judgement about the service level it’s willing to commit to, given the cost implications of achieving that service level. even so, most organizations will strive to continuously lower the cost of supporting their desired service level. this article explores the various strategies and techniques for doing that. prevention most prevention techniques involve testing the system, or parts of it, before releasing to production. major categories to cover include: testing for functional correctness; ability to perform under expected load; and resilience to foreseeable failures. mitigation mitigation involves limiting the breadth of impact, mainly through architectural patterns of isolation and graceful degradation of service, and limiting the duration of impact by improving time to notice, time to diagnose and time to push a fix. hybrid there are also some hybrid strategies that straddle prevention and mitigation. canary releasing to a subset of users is a type of prevention strategy, but performed in production with the impact heavily mitigated. likewise, the advanced technique of chaos engineering is an approach for testing and practicing prevention and mitigation approaches in a production environment. the following diagram outlines the major categories: continue reading “reliability under abnormal conditions” posted on december 9, 2015 january 4, 2018 leap-frogging the unicorns or disrupting the disruptors keeping up with the cambrians i recently saw a chart that plotted the occurrence of the phrase “exponential growth” in published works over the last decades. unsurprisingly the chart showed an exponential curve. similarly i have started to notice a cambrian explosion of “cambrian explosions” … (the cambrian explosion was a phase in our geological record where there was an apparently very rapid increase in the diversity of life forms on earth). i’m seeing the term applied in a broad variety of technology fields right now: as i cycle to work every day i’m seeing a cambrian explosion of personal propulsion devices including electric skate-boards, power-assisted bicycles, hover-boards, scooters and obviously electric and potentially self-driving cars; in my day job we’re seeing a cambrian explosion in tools and techniques to make data-centers ever more powerful and reliable (it’s not just the jobs of commercial drivers that are under threat from the new algorithms, sysadmins are endangered too); you just need to browse through kickstarter or indiegogo to see the explosion in ingenious ideas about how to graft ubiquitous connectivity and embedded smarts into every day objects; and while we’re at it we’re seeing a cambrian explosion in terms to describe the ecosystem of all these smart connected devices. not disruptive contrary to popular opinion the likes of uber and airbnb are not disruptive innovators. at least not in the technical sense . these “ unicorns ” are clearly having a “disruptive” impact in the colloquial sense to their respective industries. but if we remove the label of “disruptor” and examine how they have succeeded we may get a better insight into how to replicate their successes, or even improve on them. particularly if we broaden our remit to focus on solving not just for friction-reduction at the individual level, but also at the societal. continue reading “leap-frogging the unicorns” posted on december 1, 2014 january 4, 2018 the green shoots of fair data “privacy is dead – get used to it!” this is the common wisdom you’ll hear if you spend much time hanging out near silicon valley, reading about the latest application of predictive analytics to improving customer loyalty, or following the most recent start-ups who are busy wiring up every corner of the world to the growing internet of things. i spend my time doing all those things, but i don’t accept the common wisdom – i want to explore with you why i believe that reports of the death of privacy are much exaggerated. and i want to explore how there may be viable and differentiating advantages for organizations to pursue a different path. the data economy it’s clear that we’re living in a burgeoning data economy and that this economy is driven by technology. moore’s law rattles on apace and in its wake new generations of devices and sensors are making more and more areas of the physical world addressable by compute. we’re experiencing a self-enforcing cycle: advances in technology extract ever increasing oceans of data from the world and its inhabitants; this data is used to tailor ever better digital products and services; these improved products in turn generate more profit which is then funneled back into r&d to drive new technological advances and so the virtuous techno-utopian cycle keeps turning. this cycle has a secondary engine whipping it along faster and faster: as we create better products the loyalty and trust of customers grows and their willingness to share ever more data increases. the implicit bargain that modern organizations are making with their customers is: “give me your data and we will give you delightful services.” even if customers don’t explicitly state their acceptance of this bargain, their tacit acceptance of the deal drives the conventional wisdom that privacy is, to all intents and purposes, dead. for as long as we lap up ostensibly free services such as gmail, facebook and dropbox, that are funded by the data and insights they can extract and sell to advertisers, there will be no impetus to search for an alternative to the conventional wisdom. similarly we’re seeing frenetic competition to customize recommendations (and potentially pricing) for customers of retail, travel and media products. continue reading “the green shoots of fair data” posted on november 14, 2013 january 4, 2018 web 2.0 created surveillance 1.984 web 2.0 has had a massive impact for good on the lives of modern humans. web 2.0 has also been complicit in ushering in the most advanced, p

URL analysis for digitaldimsum.co.uk

http://www.digitaldimsum.co.uk/#content
digitaldimsum.co.uk

Whois Information

Whois is a protocol that is access to registering information. You can reach when the website was registered, when it will be expire, what is contact details of the site with the following informations. In a nutshell, it includes these informations;

Domain name:
digitaldimsum.co.uk

Data validation:
Nominet was able to match the registrant's name and address against a 3rd party data source on 10-Dec-2012

Registrar:
123-Reg Limited t/a 123-reg [Tag = 123-REG]
URL: http://www.123-reg.co.uk

Relevant dates:
Registered on: 01-Dec-2004
Expiry date: 01-Dec-2020
Last updated: 24-Nov-2018

Registration status:
Registered until expiry date.

Name servers:
ns545.hostgator.com
ns546.hostgator.com

WHOIS lookup made at 13:09:04 28-Jan-2019

--
This WHOIS information is provided for free by Nominet UK the central registry
for .uk domain names. This information and the .uk WHOIS are:

Copyright Nominet UK 1996 - 2019.

You may not access the .uk WHOIS or use any data from it except as permitted
by the terms of use available in full at https://www.nominet.uk/whoisterms,
which includes restrictions on: (A) use of the data for advertising, or its
repackaging, recompilation, redistribution or reuse (B) obscuring, removing
or hiding any or all of this notice and (C) exceeding query rate or volume
limits. The data is provided on an 'as-is' basis and may lag behind the
register. Access may be withdrawn or restricted at any time.

  REFERRER http://www.nominet.org.uk

  REGISTRAR Nominet UK

SERVERS

  SERVER co.uk.whois-servers.net

  ARGS digitaldimsum.co.uk

  PORT 43

  TYPE domain

DOMAIN

SPONSOR
123-Reg Limited t/a 123-reg [Tag = 123-REG]
URL: http://www.123-reg.co.uk
Relevant dates:

  CREATED 01-Dec-2004

  CHANGED 24-Nov-2018

STATUS
Registered until expiry date.

NSERVER

  NS545.HOSTGATOR.COM 50.87.144.22

  NS546.HOSTGATOR.COM 50.87.146.152

  NAME digitaldimsum.co.uk

DISCLAIMER
This WHOIS information is provided for free by Nominet UK the central registry
for .uk domain names. This information and the .uk WHOIS are:
Copyright Nominet UK 1996 - 2019.
You may not access the .uk WHOIS or use any data from it except as permitted
by the terms of use available in full at https://www.nominet.uk/whoisterms,
which includes restrictions on: (A) use of the data for advertising, or its
repackaging, recompilation, redistribution or reuse (B) obscuring, removing
or hiding any or all of this notice and (C) exceeding query rate or volume
limits. The data is provided on an 'as-is' basis and may lag behind the
register. Access may be withdrawn or restricted at any time.

  REGISTERED no

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