- How to Make Help Microvideos For Your Site (Alex Holovaty) — Instead of one monolithic video, we decided to make dozens of tiny, five-second videos separately demonstrating features.
- How Google is Killing Organic Search — 13% of the real estate is organic results in a search for “auto mechanic”, 7% for “italian restaurant”, 0% if searching on an iPhone where organic results are four page scrolls away. SEO Book did an extensive analysis of just how important the top left of the page, previously occupied by organic results actually is to visitors. That portion of the page is now all Google. (via Alex Dong)
- Church — probabilistic programming language from MIT, with tutorials. (via Edd Dumbill)
- mesos — a cluster manager that provides efficient resource isolation and sharing across distributed applications, or frameworks. It can run Hadoop, MPI, Hypertable, Spark (a new framework for low-latency interactive and iterative jobs), and other applications. Mesos is open source in the Apache Incubator. (via Ben Lorica)
Building functionality that really delivers the expected customer value
By now, many of us are aware of the wide adoption of continuous delivery within companies that treat software development as a strategic capability that provides competitive advantage. Amazon is on record as making changes to production every 11.6 seconds on average in May of 2011. Facebook releases to production twice a day. Many Google services see releases multiple times a week, and almost everything in Google is developed on mainline. Still, many managers and executives remain unconvinced as to the benefits, and would like to know more about the economic drivers behind CD.
First, let’s define continuous delivery. Martin Fowler provides a comprehensive definition on his website, but here’s my one sentence version: Continuous delivery is a set of principles and practices to reduce the cost, time, and risk of delivering incremental changes to users.
Maintaining a desired behavior
In two previous posts (Part 1 and Part 2) we introduced the idea of feedback control. The basic idea is that we can keep a system (any system!) on track, by constantly monitoring its actual behavior, so that we can apply corrective actions to the system’s input, to “nudge” it back on target, if it ever begins to go astray.
This begs the question: Why should we, as programmers, software engineers, and system administrator care? What’s in it for us?
Microvideos for MIcrohelp, Organic Search, Probabilistic Programming, and Cluster Management
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