Posts in "music"

Quite the album cover, there: “A good title, but primarily recommended for Getz fans.” // I think that means: “the normals won’t like it, I barely did.”

Auto Mix is Good

I thought I’d dislike the new Auto Mix song transition in Apple Music. But, I actually like it. It does, indeed, make it feel more “radio” and, thus, lively and of the human world instead of isolated headphones desk-troglodyte.

Notes on the 2019 DevOps Report

Some quick notes and callouts from this year’s 2019 DevOps Report: Four key metrics: lead time, deployment frequency, mean time to restore (MTTR) and change fail percentage. Med, High, and Elite all have a change fail rate of 0-15%. So, expect 15% change fail as benchmark worst case to shoot for...? Demographics: 30% are devs, 26% "DevOps or SRE" - [so, lots of ICs self-evaluating]. 16% "

Small experiments to solve big problems

Try to go beyond hand waving and opinions and find out what really is happening. A good way to start is to ask people to picture what their scenario would look like if everything was perfect. This puts them into a positive frame and helps focus on great outcomes. Once you’re sure you’re working on an improvement opportunity that’s worth your time, try small time-bound experiments that you actually follow through on.

Self-motivated teams lead to better software

This post is pretty old and possibly out of date. There’s an updated version of it in my book, Monolithic Transformation. In contrast to the way traditional organizations operate, cloud native enterprises are typically comprised of self-motivated and directed teams. This reduces the amount of time it takes to make decisions, deploy code, and see if the results helped move the needle. More than just focusing on speed of decision making and execution, building up these intrinsically motivatedteams helps spark creativity, fueling innovative thinking.

NBC Universal turned to Spark to analyze all the content meta-data for its international content distribution. Metadata associated with the media clips is stored in an Oracle database and in broadcast automation playlists. Spark is used to query the Oracle database and distribute the metadata from the broadcast automation playlists into multiple large in-memory resilient distributed datasets (RDDs). One RDD stores Scala objects containing media IDs, time codes, schedule dates and times, channels for airing etc. It then creates multiple RDDs containing broadcast frequency counts by week, month, and year and uses Spark’s map/reduceByKey to generate the counts. The resulting data is bulk loaded into HBase where it is queried from a Java/Spring web application. The application converts the queried results into graphs illustrating media broadcast frequency counts by week, month, and year on an aggregate and a per channel basis.

NBC Universal runs Apache Spark in production in conjunction with Mesos, HBase and HDFS and uses Scala as the programming language. The rollout in production happened in Q1 2014 and was smooth.

Apache Spark Improves the Economics of Video Distribution at NBC Universal – Databricks

Shit’s bonkers out there. If I’d have proposed that to an architect “back in my day,” they’d have told me to go shot myself. They’d say: “uh, so, how about we just make a database table and ETL tool that does that?”

The last part - all those different things used - is amazing. Again, the architect would say: “we write things in Java. Try again.”

Granted, the point is: things like Spark and friends let you move beyond dealing with just tidy data and analitects. But, still, sloppy is as sloppy does, right?

Coté Memo #047: Selling a "platform" is one of the more difficult tech marketing tasks you'll ever do

Meta-data Hello again, welcome to #047. Today we have 52 subscribers, so we’re +/-0. I should write more awesome stuff to get more sign-ups! I’d love to hear what you like, dislike, your feedback, etc.: memo@cote.io. (If you’re reading this on the web, you should subscribe to get the daily email.) See past newsletters in the archives, and, as always, see things as they come at Cote.io and @cote. Sponsors NEXT WEEK!

[youtube www.youtube.com/watch]

I’ve spent years puttering around at the “infrastructure layer” in IT: programming, systems management, cloud, all that gunk. From what I can tell much of the growth in IT is being driven by companies wanting to engage in “social” more. What is “social,” though? Indeed, that’s one of the things this podcast will try to figure out (hopefully with as much delightful rat-holing as Horace). Also, we’ll discuss my need for slippers that masquerade as socks so I can get them past my wife’s 2nd floor blockade.

Mostly though, it’s a McGuffin for getting to talk with Chris more.

On that note, here’s the video we recorded earlier. A podcast format with all the bells and whistles will follow.

We just having a working title now: Connected Culture and Obscure Stuff, which is much better than our original working title.

(Source: https://www.youtube.com/)