- Critical Metric: Critical Responses (Steve Souders) — new UX-focused metrics […] Start Render and Speed Index.
- Automatically Scrape and Import a Table in Google Spreadsheets (Zach Klein) — =ImportHtml("URL", "table", num) where “table” is the element name (“table” or a list tag), and num is the number of the element in case there are multiple on the page. Bam!
- Getting Visibility on the iBeacon Problem (Brooklyn Museum) — the Internet of Things is great, but I wouldn’t want to have to update its firmware. As we started to troubleshoot beacon issues, we wanted a clean slate. This meant updating the firmware on all the beacons, checking the battery life, and turning off the advanced power settings that Estimote provides. This was a painstakingly manual process where I’d have to go and update each unit one-by-one. In some cases, I’d use Estimote’s cloud tool to pre-select certain actions, but I’d still have to walk to each unit to execute the changes and use of the tool hardly made things faster. Perhaps when every inch of the world is filled with sensors, Google Street View cars will also beam out firmware updates.
- NLP Meets Deep Learning — easy to follow slide deck talking about how deep learning is tackling NLP problems.
Toward unifying customer behavior and operations metrics.
For 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.