ENTRIES TAGGED "devops"

Four short links: 13 June 2014

Four short links: 13 June 2014

Decentralized Web, Reproducibility Talk, Javascript Microcontroller, and Docker Maturity

  1. Mapping the Decentralized Movement (Jon Udell) — the pendulum is about to swing back toward a more distributed Web.
  2. John Ioannidis: Reproducible Research, True or False? (YouTube) — his talk at Google. (via Paul Kedrosky)
  3. Tessel — a microcontroller that runs Javascript. For those who can’t handle C.</troll>
  4. Docker MisconceptionsThis is not impossible and can all be done – several large companies are already using Docker in production, but it’s definitely non-trivial. This will change as the ecosystem around Docker matures (via Flynn, Docker container hosting, etc), but currently if you’re going to attempt using Docker seriously in production, you need to be pretty skilled at systems management and orchestration.
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Four short links: 10 June 2014

Four short links: 10 June 2014

Trusting Code, Deep Pi, Docker DevOps, and Secure Database

  1. Trusting Browser Code (Tim Bray) — on the fundamental weakness of the ‘net as manifest in the browser.
  2. Deep Learning in the Raspberry Pi (Pete Warden) — $30 now gets you a computer you can run deep learning algorithms on. Awesome.
  3. Announcing Docker Hub and Official Repositories — as Docker went 1.0 and people rave about how they use it, comes this. They’re thinking hard about “integrating into the build ship run loop”, which aligns well with DevOps-enabling tool use.
  4. Apple’s Secure Database for Users (Ian Waring) — excellent breakdown of how Apple have gone out of their way to make their cloud database product safe and robust. They may be slow to “the cloud” but they have decades of experience having users as customers instead of products.
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Four short links: 3 June 2014

Four short links: 3 June 2014

Machine Learning Mistakes, Recommendation Bandits, Droplet Robots, and Plain English

  1. Machine Learning Done Wrong[M]ost practitioners pick the modeling algorithm they are most familiar with rather than pick the one which best suits the data. In this post, I would like to share some common mistakes (the don’t-s).
  2. Bandits for RecommendationsA common problem for internet-based companies is: which piece of content should we display? Google has this problem (which ad to show), Facebook has this problem (which friend’s post to show), and RichRelevance has this problem (which product recommendation to show). Many of the promising solutions come from the study of the multi-armed bandit problem.
  3. Dropletsthe Droplet is almost spherical, can self-right after being poured out of a bucket, and has the hardware capabilities to organize into complex shapes with its neighbors due to accurate range and bearing. Droplets are available open-source and use cheap vibration motors and a 3D printed shell. (via Robohub)
  4. Apple’s App Store Approval Guidelines — some of the plainest English I’ve seen, especially the Introduction. I can only aspire to that clarity. If your App looks like it was cobbled together in a few days, or you’re trying to get your first practice App into the store to impress your friends, please brace yourself for rejection. We have lots of serious developers who don’t want their quality Apps to be surrounded by amateur hour.
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Four short links: 30 May 2014

Four short links: 30 May 2014

Video Transparency, Software Traffic, Distributed Database, and Open Source Sustainability

  1. Video Quality Report — transparency is a great way to indirectly exert leverage.
  2. Control Your Traffic Flows with Software — using BGP to balance traffic. Will be interesting to see how the more extreme traffic managers deploy SDN in the data center.
  3. Cockroacha distributed key/value datastore which supports ACID transactional semantics and versioned values as first-class features. The primary design goal is global consistency and survivability, hence the name. Cockroach aims to tolerate disk, machine, rack, and even datacenter failures with minimal latency disruption and no manual intervention. Cockroach nodes are symmetric; a design goal is one binary with minimal configuration and no required auxiliary services.
  4. Linux Foundation Providing for Core Infrastructure Projects — press release, but interested in how they’re tackling sustainability—they’re taking on identifying worthies (glad I’m not the one who says “you’re not worthy” to a project) and being the non-profit conduit for the dosh. Interesting: implies they think the reason companies weren’t supporting necessary open source projects was some combination of being unsure who to support (projects you use, surely?) and how to get them money (ask?). (Sustainability of open source projects is a pet interest of mine)
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Exploring lightweight monitoring systems

Toward unifying customer behavior and operations metrics.

lightweight_systemsFor the last ten years I’ve had a foot in both the development and operations worlds. I stumbled into the world of IT operations as a result of having the most UNIX skills in the team shortly after starting at ThoughtWorks. I was fortunate enough to do so at a time when many of my ThoughtWorks colleagues and I where working on the ideas which were captured so well in Jez Humble and Dave Farley’s Continuous Delivery (Addison-Wesley).

During this time, our focus was on getting our application into production as quickly as possible. We were butting up against the limits of infrastructure automation and IaaS providers like Amazon were only in their earliest form.

Recently, I have spent time with operations teams who are most concerned with the longer-term challenges of looking after increasingly complex ecosystems of systems. Here the focus is on immediate feedback and knowing if they need to take action. At a certain scale, complex IT ecosystems can seem to exhibit emergent behavior, like an organism. The operations world has evolved a series of tools which allow these teams to see what’s happening *right now* so we can react, keep things running, and keep people happy.

At the same time, those of us who spend time thinking about how to quickly and effectively release our applications have become preoccupied with wanting to know if that software does what our customers want once it gets released. The Lean Startup movement has shown us the importance of putting our software in front of our customers, then working out how they actually use it so we can determine what to do next. In this world, I was struck by the shortcomings of the tools in this space. Commonly used web analytics tools, for example, might only help me understand tomorrow how my customers used my site today.

Read more…

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Four short links: 29 May 2014

Four short links: 29 May 2014

Modern Software Development, Internet Trends, Software Ethics, and Open Government Data

  1. Beyond the Stack (Mike Loukides) — tools and processes to support software developers who are as massively distributed as the code they build.
  2. Mary Meeker’s Internet Trends 2014 (PDF) — the changes on slide 34 are interesting: usage moving away from G+/Facebook-style omniblather creepware and towards phonebook-based chat apps.
  3. Introduction to Software Engineering Ethics (PDF) — amazing set of provocative questions and scenarios for software engineers about the decisions they made and consequences of their actions. From a course in ethics from SCU.
  4. Open Government Data Online: Impenetrable (Guardian) — Too much knowledge gets trapped in multi-page pdf files that are slow to download (especially in low-bandwidth areas), costly to print, and unavailable for computer analysis until someone manually or automatically extracts the raw data.
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Four short links: 8 May 2014

Four short links: 8 May 2014

OpenStack Critique, Good Teaching, More Good Teaching, and Programming Sucks

  1. OpenStack: A Plea — critical take on OpenStack, also in this presentation. Notes the proliferation of inefficiency, devops bolted onto the side, and the long feedback cycle. You code differently when you have a pager. (via Sam Ramji)
  2. What Could Be More Interesting Than How The Mind Works? (Harvard) — the Steven Pinker story. A third ingredient of good teaching is overcoming “the curse of knowledge”: the inability to know what it’s like not to know something that you do know. (via Atul Gawande)
  3. Some Lecturing HeuristicsRealize further that your mood may be determined by only a few people. A smiling nodder will make you feel good, and you will do better. People reading newspapers will make you feel bad, and you will do worse. Do not permit people to do things that make you feel bad.
  4. Programming Sucks — every word is true.
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Four short links: 30 April 2014

Four short links: 30 April 2014

Critical Making, Torrent Filesystem, Testing Infrastructure, and Reproducible Research

  1. Critical Making — essays from 70 contributors looking at the politics, choices, and ethics of a lot of the makery going on.
  2. torrent-mount — mount a torrent as a filesystem in real time using Javascript. (via Joe McCann)
  3. Continuous Integration for Infrastructure — slides on the emerging tools for large-scale automated testing integrated into development and deployment workflow.
  4. Implementing Reproducible Research — book by Victoria Stodden and Johanna Cohoon on tools, practices, and platforms for making science that others can verify (another step in improving velocity and quality of scientific research).
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Four short links: 14 April 2014

Four short links: 14 April 2014

dategrep, Agile Signoff, Feedback Speed, and Modern Dev

  1. dategrepprint lines matching ranges of dates. Genius!
  2. Business Case Guidance in Agile Projects (gov.uk) — how the UK govt signs off on Agile projects, which normally governments have no clue over how to handle properly.
  3. Hyper Growth Done Right“While I was at Oracle, it took a month before a new engineer would get any code in,” Agarwal says. “It sent this implicit message that it’s okay to take a month to write some code.” First time I’d heard this wise point articulated: slow feedback loops send the message that progress can be slow.
  4. Docker + Github + Jenkins — clever integration of the three tools to get repeatable continuous integration. The modern dev environment has workflow built on git, VMs, and glue.
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Full-stack developers

Developers who understand the whole stack are going to build better applications.

Large tree with branches. Photo by Alex, used under a Creative Commons license

Some see the full-stack developer as a unicorn, but it’s starting to look more like a tree, with tooling, cloud services, design, data, and networking added.

Since Facebook’s Carlos Bueno wrote the canonical article about the full stack, there has been no shortage of posts trying to define it. For a time, Facebook allegedly only hired “full-stack developers.” That probably wasn’t quite true, even if they thought it was. And some posts really push “full-stack” developer into Unicorn territory: Laurence Gellert writes that it “goes beyond being a senior engineer,” and details everything he thinks a full-stack developer should be familiar with, most of which doesn’t involve coding. Read more…

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