beckingz

32 ms·

391.
by beckingz 5y ago
The greenest pastures are the most fertilized, so watch your step.
392.
by beckingz 5y ago
Nope. The snipping tool is slightly improved.
393.
by beckingz 5y ago
I had wondered why I hadn't seen the oatmeal in a long time.
394.
by beckingz 5y ago
Seeing a massive 500 megawatt turbine in the generator hall of a nuclear powerplant is an incredible experience, dwarfed only by the knowledge that there are 3 more at the facility.
395.
by beckingz 5y ago
Doesn't seem quite right because we don't like the reflection that it entails.
396.
by beckingz 5y ago
Oh Bob Saget
397.
by beckingz 5y ago
Must be wild watching the overton window pass you in the fast lane.
398.
by beckingz 5y ago
Magnetic breaking is still quite feasible. There are some interesting proposals to build "Q" drives, which would use plasma magnets to generate energy from the solar wind and put that energy into ion thrusters.
399.
by beckingz 5y ago
Building a network, or as I like to call it, shitposting on twitter.
400.
by beckingz 5y ago
legendary minds discuss logistics.
401.
by beckingz 5y ago
Prosperity gospel with a technical flavor. The assumption that any worthy cause will by financially self-sustaining as an 'empire' has led to a lot of value driven companies destroying all their good will and noble intentions.
402.
by beckingz 5y ago
One day we will be able to automagically add an alert to a dashboard saying that the database four systems upstream is having a temporary quality issue. Any tool that gets us in that direction is good in my book.
403.
by beckingz 5y ago
Big metadata is one of the big upcoming trends in the data space. Data tooling has gotten a lot better over the last 10 years with Spark + Airflow + Cloud data warehouses. The next step is getting everything to talk to each other with bette
404.
by beckingz 5y ago
Using the animals as kubernetes resources is great: cattle not pets.
405.
by beckingz 5y ago
Care to share your model training code? With confidence that high, it might be a runner up for kludge of the year.
406.
by beckingz 5y ago
And this stretch of road is prone to massive traffic jams even on good days.
407.
by beckingz 5y ago
Daily Active Victims is a good metric.
408.
by beckingz 5y ago
It's career ending to not do that.
409.
by beckingz 5y ago
The note about using diagrams as boundary objects is astute: systems are too complex to actually understand the whole thing.
410.
In Praise of Swarming(dannorth.net)
4 points by beckingz 5y ago|1 comments
411.
by beckingz 5y ago
Scale increasingly becomes constrained by organizational interfaces. At a certain point, trying to add people to an organization actually makes it less productive unless their contributions can be abstracted globally. At a certain extent, t
412.
by beckingz 5y ago
web3 is whatever the newest startup is doing. But yes, blockchain.
413.
by beckingz 5y ago
Certain jobs sufficiently far from the obvious value creation have a tendency to look useless. In many cases they are useless and could be bundled into other jobs, but when a job is over loaded there is efficiency to unbundling them. Factor
414.
by beckingz 5y ago
HR are often the worst offenders. Sometimes they're great and actually invest in the humans at an organization, other times they are the worst humans at an organization.
415.
by beckingz 5y ago
The framework proposed is to make sure that everyone on a project understands: - WHY we’re doing anything - WHAT success looks like - WHO is responsible for doing it - HOW they’re going to do it - WHEN they’re going to do it
416.
by beckingz 5y ago
You get put on a different list each time. :)
417.
by beckingz 5y ago
Some call it stockholm syndrome, we call it the Spotify model!
418.
by beckingz 5y ago
Spouse acceptance factor is an underrated engineering constraint.
419.
by beckingz 5y ago
Last time I got laid off the CEO said that he knew it was hard for me, but also wasn't easy for him. Which is true: firing people is one of the hardest managerial tasks, but it's tone deaf and disrespectful to make it about the ma
420.
by beckingz 5y ago
The beautiful (and scary thing) about cloud data warehouses is that you can scale them significantly, which means bad SQL mostly becomes a cost issue as opposed to a speed issue. Also, dbt makes it easier to persist tables instead of views,

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