Yes QT is more work. But it's kind of like the old adage, you get what you pay for.
Both platforms can be made to look ugly or pretty or inconsistent.
802 karma · joined May 24, 2011
Yes QT is more work. But it's kind of like the old adage, you get what you pay for.
Both platforms can be made to look ugly or pretty or inconsistent.
Same category of probably not a great idea to use and claim is better than what's out there ( it won't be ) but boy howdy will it teach you about distributed systems and pitfalls that will absolutely help you when you are working on one at your day job.
So after work is done, I love going on some kind of cardio adventure for 30-60 minutes. Running is my favorite but biking also works.
When I get home, all steam is blown off, and I manage to fall asleep in most cases.
Naturally, I am not really a great sleeper. Cardio helps a lot.
I'm sure there is exceptions, but in general, the last thing I want my browser to do when i press back, is to start making requests. I expect the requests to have been already made.
So, yeah, I think even if eventually consistent, and not immediately consistent, they want you to feel they have taken care of your data when designing the thing, so seems prudent to do.
So, after poking around, it looks like pageflow is the actual creators of this stuff, and scrollytelling, has built a business around supporting it and hosting it?
While concurrently, it appears pageflow can also be paid to support and host their own product?
Weirdly, pageflow appears cheaper too!
Am I missing something? Would this be equivalent of someone opening up a competitor to wordpress.com, powered by wordpress?
But it is hard to get people to listen when it's just one opinion or the other. Arm yourself with data.
Meanwhile plan your escape to your next job more thoughtfully, and make sure that when you leave with the latest gig you feel they would speak positively of you. This is important to build a network of healthy resources.
Doing something that is not passionate is a place we all find ourselves in. Some people end up staying there for a long time and find other things in their life to excite them.
Personally over the years I have gone back and forth from extremely grueling passionate work to some jobs are more 9-5 slinging code for money.
In either case learn the most you can from where you are and paddle towards a happier situation, but set this one down smartly.
A key takeaway is stress, stress management, growing up too quick, and this young mans wading into having to learn about these quite young.
Having said that, to publish an app at 13 and work at Facebook when your 17 is amazing and I hope the author takes some solace in that and continues to share the 'you can do it' attitude and not only see the obvious mismanagement of the family resources which I'm guessing the parents played a large role in.
Finally I just snapped and was unable to work or really communicate with anyone. I stopped showing up and felt horrible for my totally unprofessional exit. I had been barely sleeping and while sure the money was amazing I had no time to spend it.
In hindsight I should have worked on my communication skills and rapidly tapered down my efforts to a sane place. But I waited until I was just broken and had to bail.
However, it was in the end a much much needed rest. I took 4 months off work, got outside a ton, lost a bunch of weight, got my personal life and friendships recalibrated and jobs and work started showing up as soon as I was ready to work again.
Since then I have made healthier habits, and people actually respect me the same amount or more for having those habits. I also have learned tricks to still get an amazing amount of stuff done without burning out, which is largely communication, diet, exercise and sleep, all things I used to be awful at.
Take the break, it will be worth it!
Edit: and with 9 years of experience you already know how to learn, don't make the focus just more technology, at least make it a partial computer break.
- say one of the slaves actually has some monitoring system break and now runs out of disk space, and stops the ability to write locally, so the lag will go up and/or health check will see its replication is failing, and it will automatically be taken out of the pool.
- say you run a site where a user has a list of songs they like. some users have larger libraries than others, but there is a few outliers that have 100x the amount of songs. your growing fast and you have some code paths that are not optimized for this, and some features that folks barely use that you don't spend time on. one of these users goes on your site and uses this feature and now you have 1 slave that is lagging because the overly intense query landed on it.
- say you have a high traffic site, or you are in a datacenter where you are sharing networking gear with a very high traffic neighbor, and the datacenter has over provisioned the networking gear, so there is no headroom for bandwidth. now you have slave lag if your replication is passing thru a switch at saturation. maybe this is only present some times of the day, on some slaves, so they will be taken out of the pool so servers with better network paths are prioritized.
I can't imagine the person driving doesn't spend as much or more than the person walking on food.
If we are saying that this small amount of money VS drinking oil is where the line is crossed, then are we not all comfortably well past this zone anyways?
So another way of saying this is listening to music is most efficient if you listen to a pre recorded song or you whisper only.
Also for it to be that jarring we are talking about a failure at the exact moment you are using the data-heavy app, and not 1 minute before. Every time you go to use the app its likely the dns is re-queried.
So, at the end of the day if you have a mission critical thing running where you need to try very hard and can't tolerate 60 seconds of failure, you would bake multiple paths to a backend in the client configuration at some point. So the client would know if backend A is down it can do client side failover to backend B.
Sometimes this technique is used in conjunction with a highly fault tolerant server stuff, and not as a replacement for it.
Even more simple, is DNS round robin (just putting more than one entry in the reply for a dns request). So in terms of failover, if one of these servers in the reply stops working, generally another one is, and browsers and other devices generally understand that they can try all addresses listed for a given host.
Which we know, hasn't happened yet, but it's an important part of the direction they are going.
"Ultimately, Hotz says, the comma.ai philosophy is simple – tell people exactly what they’re doing, but remain confident in the startup’s ability to do it faster, smarter and cheaper."
The confidence of hotz is astonishing but I'll be the first to admit I'm still cheering him on. This is such an incredibly hard trying to get right, but he is either going to knock this out of the park or die trying.
Most of the use I got out of it was introducing friends to VR for the first time. Everyone thought "cool!" No one asked for me to pull it out a 2nd time.
MVCC and how it has been implemented in the two storage engines in discussion here absolutely has a lot to do with it.
or would it be 'use this hostname to sync the nom to your own computer'
Or would it be a dsn sort of and you just instantiate a client and your on your way?
Or, some combo?
And cool if so, but the CSV analogy is really confusing.
When I think of CSV I think of a ghetto data exchange format that I can send or receive to a less technical person. As I understand nom, it does not sound like its for non technical people.
If this is supposed to replace CSV cool, but there is a lot of ways to cross that bridge.
Curious however, what the target use case is. Is it a format, or a database , or both?
( I'll let myself out ;)
Sure there is some overlap with the already loosely defined 'devops' but this doesn't really make any headway on defining it.
Where is bash, awk and sed in this list?
Can definitely see the use case for swift expand a bit with this in its wings.
Seriously bummed that this sounds like the end, however I imagine your amazing skills will be used to enhance the google play store, which is great for you guys.
Anyhow, this is not a shocker considering how well L.K's features worked. Enjoy your time at google.
Finally, thanks for the code, here's hoping someone picks up the torch, or at least uses it for inspiration :)
- along with multi use, use pipelined calls when you don't need a transaction but are going to need more than one reply rapidly. This can increase performance literally 10-100x if you need it and your not using it.
- check replication buffers of your running more than a few gigs size data set. The default won't let for example a 30gb dataset to sync from master to slave and you will end up in the dreaded replication loop.
- instead of not using 'keys' command, disable it in configuration.
- remember to run twice the ram you need.
- setup monitoring based on the output of redis-cli info replication and redis-cli info persistence.
- it's better to run a handful of small to medium redis sharded than a single huge one. Safer, faster, easier to backup, easier to recover, and higher performance.