Had 2 days of vacation. Theoretically (plus weekend, plus 2 days) 6 days.

Worked today… At Saturday.

Some administrators forgot to properly check bandwidth limitations....

*rolls eyes*

We had a major version upgrade of some server software at Monday.

Guess why I got called...

Of course it MUST be the software upgrade.

It couldn't be the new hardware that was setup 2 weeks ago and on which a lot of "important" VMs were migrated.

*eyes roll inside till only white is visible*

The even more annoying thing is that it wasn't that hard to figure out.

Looking at monitoring, we had spikes on 20 Gbit/s (roughly 2.x Gigabyte/sec - Ethernet) connection of some server at roughly 1.9 plus Gigabyte/sec.

IO latency spikes that made the graph look like a heartbeat EKG with severe tachycardia...

*additionally to white eyes starts cursing in reverse latin*

Incompetent admin answer: Booboo that can only be your fault - the developers must investigate.

Me (just a tad more polite): Meep Meep mother fucker, get your shit together. If the software would eat that much, the network would be a niece chunk of charcoal. Plus the time (sending instead of links to monitoring pictures… guess the lazy fucktard who's brain is a vacuum didn't even bother to check it)...

NOTICE SOMETHING?!

Incompetent admin: It starts at the same time. Always.

After wasting roughly another hour of time discussing with him, I just hanged up the video call.

Called someone I knew from the admin department and turns out that - drumrolls please - the incompetent admin was someone who got recruited 3 months ago…

*turning into antichrist*

I then had a not so polite discussion about how the only competent people could take days off (all except incompetent admin were on vacation) and the seemingly incompetent fresh recruit - who by the way NEVER mentioned this - was the only one left of the admin department. Which would be bad alone, but no - he even got the 24/7 emergency support role for the whole weekend.

Sometimes this company and HR especially notoriously drive me insane...

Guess next week there will be some HR barbecue.

But yeah. After a lot of raging around we nailed it down to the traffic of backups and could fix it.

Roughly 4 hours of analysis, communication, raging and hatred.

Just one hour implementing shit.

*goozfraba*

I despise it when software developers remove features because "too few people use them".

Is this what those shady telemetry features are for? So they can pick which useful features to get rid of because some computer rookies whined that it is "feature creep" rather than just ignoring it?

Now I have to fear losing useful (or at least occasionally convenient) features each time I upgrade, such as Firefox ditching RSS, FTP, and the ability to view individual cookies. The third can be done with an extension, but compatibility for it might be broken at some point, so we have to wait for someone to come up with a replacement.
Also, the performance analysis tool in the developer tools has been moved to an online service ("Firefox profiler"). I hope I don't need to explain the problems with that.

But perhaps the biggest plunge in functionality in web browser history was Opera version 15. That was when they ditched their native "Presto" browsing engine for Chromium/Blink, and in the process removed many features including the integrated session manager and page element counter.

The same applies to products such as smartphones. In the early 2010s, it was a given that a new smartphone should cover all the capabilities of its predecessors in its series, so users can upgrade without worrying a second that anything will be missing. But that blissful image was completely destroyed with the Galaxy S6. (There have been some minor feature removals before that, such as the radio and the three-level video recording bitrate adjustment on the S4, but that's nothing compared to what was removed with the S6.).

Whenever I update software to a new version or upgrade my smartphone, I would like it to become MORE capable, not LESS (and to hell with that "less is more" nonsense).

I am working on an artificial intelligence platform which does video content analysis and generate metadata tags regarding the video. Suggest me some cool name for this project.

I gotta say, I actually admire the work that content creators must go thru to make quality content.

So as I stated before I’m working on YouTube channel, under the name “TheSoftwareSage” ... to create tutorials and a way of me teaching software the way I believe it should be taught, not how the mainstream methods of today are.

Bottom up approach rather than top down

(Must start with a firm understanding of the foundation.. and build upon the knowledge as we go thru the layers of abstraction but the key concepts must be understood first)

Anyway, I’m working on this in my spare time and I was not aware of how much effort I would actually need todo this right haha. At first I figured I’d just screencast a monitor and have a ppt or text editor or terminal open and that stuff and just do it.

As In person with my interns I never have “planned” lessons or content is all impromptu based on the need at the time and I just go with it, with their computers and a whiteboard lol.

I was wrong for video recording lol... maybe it’s OCD... or perfectionism, I’ll make a video, review it like 5times and then be like shit I forgot to mention this or that or I didn’t like how I explained this or that
OR
I keep worrying too much about colors, and sound levels and quality and transitions and video angles and all this other shit.
And then post editing fuck.... I’m about ready to say fuck it and “do it live .. one shot” and just upload the end result.

I guess this would be in the content world similar to our “paralysis analysis” notion.

Ok now I'm gonna tell you about my "Databases 2" exam. This is gonna be long.

I'd like to know if DB designers actually have this workflow. I'm gonna "challenge" the reader, but I'm not playing smartass. The mistakes I point out here are MY mistakes.

So, in my uni there's this course, "Databases 2" ("Databases 1" is relational algebra and theoretical stuff), which consist in one exercise: design a SQL database.

We get the description of a system. Almost a two pages pdf. Of course it could be anything. Here I'm going to pretend the project is a YouTube clone (it's one of the practice exercises).

We start designing a ER diagram that describes the system. It must be fucking accurate: e.g. if we describe a "view" as a relationship between the entities User and Video, it MUST have at least another attribute, e.g. the datetime, even if the description doesn't say it. The official reason?

"The ER relationship describes a set of couples. You can not have two elements equal, thus if you don't put any attribute, it means that any user could watch a video only once. So you must put at least something else."

Do you get my point? In this phase we're not even talking about a "database", this is an analysis phase.

Then we describe the type dictionary. So far so good, we just have to specify the type of any attribute.

And now... Constraints.
Oh my god the constraints. We have to describe every fucking constraint of our system. In FIRST ORDER LOGIC. Every entity is a set, and Entity(e) means that an element e belongs to the set Entity. "A user must leave a feedback after he saw a video" becomes like

For all u,v,dv,df,f ( User(u) and Video(v) and View(u, v, dv) and feedback(u, v, f) ) ---> dv < df

provided that dv and df are the datetimes of the view and the feedback creation (it is clear in the exercise, here seems kinda cryptic)

Of course only some of the constraints are explicitly described. This one, for example, was not in the text. If you fail to mention any "hidden" constraint, you lose a lot of points. Same thing if you not describe it correctly.

Now it's time for use cases.
You start with the usual stickman diagram. So far so good.
Then you have to describe their main functions.

In first order logic. Yes.

So, if you got the point, you may think that the following is correct to get "the average amount of feedback values on a single video" (1 to 5, like the old YT).
(let's say that feedback is a relationship with attribute between User and Video

getAv(Video v): int
Let be F = { va | feedback(v, u, va) } for any User u
Let av = (sum forall f in F) / | F |
return av

But nope, there's an error here. Can you spot it (I didn't)?

F is a set. Sets do not have duplicates! So, the F set will lose some feedback values! I can not define that as a simple set!

It has to be a set of couples, like (v, u), where v is the value and u the user; this way we can have duplicate feedback values in our set.

This concludes the analysis phase. Now, the design.

Well we just refactor everything we have done until now. Is-a relations become relationships, many-to-many relationships get an "association entity" between them, nothing new.
We write down on paper every SQL statement to build any table, entity or not. We write down every possible primary key or foreign key. The constraint that are not natively satisfied by SQL and/or foreign keys become triggers, and so on.

This exam is considered the true nightmare at our department. I just love it.

Now my question is, do actually DB designers follow this workflow? Or is this just a bloody hard training in Pai Mei style?

During one of our visits at Konza City, Machakos county in Kenya, my team and I encountered a big problem accessing to viable water. Most times we enquired for water, we were handed a bottle of bought water. This for a day or few days would be affordable for some, but for a lifetime of a middle income person, it will be way too much expensive. Of ten people we encountered 8 complained of a proper mechanism to access to viable water. This to us was a very demanding problem, that needed to be sorted out immediately. Majority of the people were unable to conduct income generating activities such as farming because of the nature of the kind of water and its scarcity as well.
Such a scenario demands for an immediate way to solve this problem. Various ways have been put into practice to ensure sustainability of water conservation and management. However most of them have been futile on the aspect of sustainability. As part of our research we also considered to check out of the formal mechanisms put in place to ensure proper acquisition of water, and one of them we saw was tree planting, which was not sustainable at all, also some few piped water was being transported very long distances from the destinations, this however did not solve the immediate needs of the people.We found out that the area has a large body mass of salty water which was not viable for them to conduct any constructive activity. This was hint enough to help us find a way to curb this demanding challenge. Presence of salty water was the first step of our solution.

SOLUTION

We came up with an IOT based system to help curb this problem. Our system entails purification of the salty water through electrolysis, the device is places at an area where the body mass of water is located, it drills for a suitable depth and allow the salty water to flow into it. Various sets of tanks and valves are situated next to it, these tanks acts as to contain the salty water temporarily. A high power source is then connected to each tank, this enable the separation of Chlorine ions from Hydrogen Ions by electrolysis through electrolysis, salt is then separated and allowed to flow from the lower chamber of the tanks, allowing clean water to from to the preceding tanks, the preceding tanks contains various chemicals to remove any remaining impurities. The whole entire process is managed by the action of sensors. Water alkalinity, turbidity and ph are monitored and relayed onto a mobile phone, this then follows a predictive analysis of the data history stored then makes up a decision to increase flow of water in the valves or to decrease its flow. This being a hot prone area, we opted to maximize harnessing of power through solar power, this power availability is almost perfect to provide us with at least 440V constant supply to facilitate faster electrolysis of the salty water.
Being a drought prone area, it was key that the outlet water should be cold and comfortable for consumers to use, so we also coupled our output chamber with cooling tanks, these tanks are managed via our mobile application, the information relayed from it in terms of temperature and humidity are sent to it. This information is key in helping us produce water at optimum states, enabling us to fully manage supply and input of the water from the water bodies.
By the use of natural language processing, we are able to automatically control flow and feeing of the valves to and fro using Voice, one could say “The output water is too hot”, and the system would respond by increasing the speed of the fans and making the tanks provide very cold water. Additional to this system, we have prepared short video tutorials and documents enlighting people on how to conserve water and maintain the optimum state of the green economy.
IBM/OPEN SOURCE TECHNOLOGIES
For a start, we have implemented our project using esp8266 microcontrollers, sensors, transducers and low payload containers to demonstrate our project. Previously we have used Google’s firebase cloud platform to ensure realtimeness of data to-and-fro relay to the mobile. This has proven workable for most cases, whether on a small scale or large scale, however we meet challenges such as change in the fingerprint keys that renders our device not workable, we intend to overcome this problem by moving to IBM bluemix platform.
We use C++ Programming language for our microcontrollers and sensor communication, in some cases we use Python programming language to process neuro-networks for our microcontrollers.

Any feedback conserning this project please?