After listening to two of our senior devs play ping pong with a new member of our team for TWO DAYS!
DevA: "Try this.."
Junior: "Didn't work"
DevB: "Try that .."
Junior: "Still not working"

I ask..
Me:"What is the problem?"
Few ums...uhs..awkward seconds of silence

Junior: "App is really slow. Takes several seconds to launch and searching either crashes or takes a really long time."
DevA: "We've isolated the issue with Entity Framework. That application was written back when we used VS2010. Since that application isn't used very often, no one has had to update it since."
DevB: "Weird part is the app takes up over 3 gigs of ram. Its obviously a caching issue. We might have to open up a ticket with Microsoft."
Me: "Or remove EF and use ADO."
DevB: "That would be way too much work. The app is supposed to be fully deprecated and replaced this year."
Me: "Three of you for the past two days seems like a lot of work. If EF is the problem, you remove EF."
DevA: "The solution is way too complicated for that. There are 5 projects and 3 of those have circular dependencies. Its a mess."
DevB: "No fracking kidding...if it were written correctly the first time. There aren't even any fracking tests."
Me:"Pretty sure there are only two tables involved, maybe 3 stored procedures. A simple CRUD app like this should be fairly straight forward."
DevB: "Can't re-write the application, company won't allow it. A redesign of this magnitute could take months. If we can't fix the LINQ query, we'll going to have the DBAs change the structures to make the application faster. I don't see any other way."

Holy frack...he didn't just say that.

Over my lunch hour, I strip down the WPF application to the basics (too much to write about, but the included projects only had one or two files), and created an integration test for refactoring the data access to use ADO. After all the tests and EF removed, the app starts up instantly and searches are also instant. Didn't click through all the UI, but the basics worked.

Sat with Junior, pointed out my changes (the 'why' behind the 'what') ...and he how he could write unit tests around the ViewModel behavior in the UI (and making any changes to the data access as needed).

Today's standup:
Junior: "Employee app is fixed. Had some help removing Entity Framework and how it starts up fast and and searches are instant. Going to write unit tests today to verify the UI behaivor. I'll be able to deploy the application tomorrow."
DevA: "What?! No way! You did all that yesterday?"
Me: "I removed the Entity Framework over my lunch hour. Like I said, its basic CRUD and mostly in stored procedures. All the data points are covered by integration tests, but didn't have time for the unit tests. It's likely I broke some UI behavior, but the unit tests should catch those."
DevB: "I was going to do that today. I knew taking out Entity Framework wouldn't be a big deal."

Holy fracking frack. You fracking lying SOB. Deeeep breath...ahhh...thanks devRant. Flame thrower event diverted.

string excuses[]={
"it's not a bug it's a feature",
"it worked on my machine",
"i tested it and it worked",
"its production ready",
"your browser must be caching the old content",
"that error means it was successful",
"the client fucked it up",
"the systems crashed and the code got lost" ,
"this code wont go into the final version",
"It's a compiler issue",
"it's only a minor issue",
"this will take two weeks max",
"my code is flawless must be someone else's mistake",
"it worked a minute ago",
"that was not in the original specification",
"i will fix this",
"I was told to stop working on that when something important came up",
"You must have the wrong version",
"that's way beyond my pay grade",
"that's just an unlucky coincidence",
"i saw the new guy screw around with the systems",
"our servers must've been hacked",
"i wasn't given enough time",
"its the designers fault",
"it probably won't happen again",
"your expectations were unrealistic",
"everything's great on my end",
"that's not my code",
"it's a hardware problem",
"it's a firewall issue",
"it's a character encoding issue",
"a third party API isn't responding",
"that was only supposed to be a placeholder",
"The third party documentation is wrong",
"that was just a temporary fix.",
"We outsourced that months ago.","
"that value is only wrong half of the time.",
"the person responsible for that does not work here anymore",
"That was literally a one in a million error",
"our servers couldn't handle the traffic the app was receiving",
"your machines processors must be too slow",
"your pc is too outdated",
"that is a known issue with the programming language",
"it would take too much time and resources to rebuild from scratch",
"this is historically grown",
"users will hardly notice that",
"i will fix it" };

So a user reported they couldn't login to our site, so I reset their password to:

uI+ffRT7M2NAzo8uOqzf4QxO3I9tj8PJ4TS0n8zDV7I

And sent them back an email with the updated password. A few minutes later, they replied and said that password didn't work. They even tried a different web browser, etc. I tried it myself, and sure enough, it didn't work.

I spent the next several hours trying to figure out why the password didn't save properly, or why the logic didn't compare them correctly. Perhaps it was some sort of caching issue? Oh the horror.

As it turns out, the problem was a maxlength of 28 on the login form field:

<input type="password" name="password" value="" maxlength="28"/>

I don't know who wrote that code, but it sure wasn't me.

Biggest scaling challenge I've faced?

Around 2006~2007 the business was in double-digit growth thanks to the eCommerce boom and we were struggling to keep up with the demand.

Upper IT management being more hardware focused and always threw more hardware at the problem. At its worst, we had over 25 web servers (back then, those physical tall-rectangle boxes..no rack system yet) and corresponding SQL server for each (replicated from our main sql server)

Then business boomed again and projected the need for 40 servers (20 web servers, 20 sql servers) over the next 5 years. Hardware+software costs (they were going to have to tear down a wall in order to expand the server room) were going to be in the $$ millions.

Even though we were making money, the folks spending it didn't seem to care, but I knew this trajectory was not sustainable, so I started utilizing (this was 2007) WCF services and Microsoft's caching framework Velocity. Started out small, product lookup data (description, price, the simple stuff) and within a month, I was able to demonstrate the web site could scale with less than half of our current hardware infrastructure.

After many political battles (I've ranted about a few of those), the $$ won and even with the current load, we were able to scale back to 5 web servers and 2 sql servers. When the business increased in the double-digits again, and again...we were still the same hardware for almost 5 years. We only had to add another service server when the international side of the business started taking off.

Challenge wasn't the scaling issue, the challenge was dealing with individuals who resisted change.

Worst dev team failure I've experienced?

One of several.

Around 2012, a team of devs were tasked to convert a ASPX service to WCF that had one responsibility, returning product data (description, price, availability, etc...simple stuff)
No complex searching, just pass the ID, you get the response.

I was the original developer of the ASPX service, which API was an XML request and returned an XML response. The 'powers-that-be' decided anything XML was evil and had to be purged from the planet. If this thought bubble popped up over your head "Wait a sec...doesn't WCF transmit everything via SOAP, which is XML?", yes, but in their minds SOAP wasn't XML. That's not the worst WTF of this story.

The team, 3 developers, 2 DBAs, network administrators, several web developers, worked on the conversion for about 9 months using the Waterfall method (3~5 months was mostly in meetings and very basic prototyping) and using a test-first approach (their own flavor of TDD). The 'go live' day was to occur at 3:00AM and mandatory that nearly the entire department be on-sight (including the department VP) and available to help troubleshoot any system issues.

3:00AM - Teams start their deployments
3:05AM - Thousands and thousands of errors from all kinds of sources (web exceptions, database exceptions, server exceptions, etc), site goes down, teams roll everything back.

3:30AM - The primary developer remembered he made a last minute change to a stored procedure parameter that hadn't been pushed to production, which caused a side-affect across several layers of their stack.

4:00AM - The developer found his bug, but the manager decided it would be better if everyone went home and get a fresh look at the problem at 8:00AM (yes, he expected everyone to be back in the office at 8:00AM).

About a month later, the team scheduled another 3:00AM deployment (VP was present again), confident that introducing mocking into their testing pipeline would fix any database related errors.

3:00AM - Team starts their deployments.
3:30AM - No major errors, things seem to be going well. High fives, cheers..manager tells everyone to head home.
3:35AM - Site crashes, like white page, no response from the servers kind of crash. Resetting IIS on the servers works, but only for around 10 minutes or so.
4:00AM - Team rolls back, manager is clearly pissed at this point, "Nobody is going fucking home until we figure this out!!"
6:00AM - Diagnostics found the WCF client was causing the server to run out of resources, with a mix of clogging up server bandwidth, and a sprinkle of N+1 scaling problem. Manager lets everyone go home, but be back in the office at 8:00AM to develop a plan so this *never* happens again.

About 2 months later, a 'real' development+integration environment (previously, any+all integration tests were on the developer's machine) and the team scheduled a 6:00AM deployment, but at a much, much smaller scale with just the 3 development team members.

Why? Because the manager 'froze' changes to the ASPX service, the web team still needed various enhancements, so they bypassed the service (not using the ASPX service at all) and wrote their own SQL scripts that hit the database directly and utilized AppFabric/Velocity caching to allow the site to scale. There were only a couple client application using the ASPX service that needed to be converted, so deploying at 6:00AM gave everyone a couple of hours before users got into the office. Service deployed, worked like a champ.

A week later the VP schedules a celebration for the successful migration to WCF. Pizza, cake, the works. The 3 team members received awards (and a envelope, which probably equaled some $$$) and the entire team received a custom Benchmade pocket knife to remember this project's success. Myself and several others just stared at each other, not knowing what to say.

Later, my manager pulls several of us into a conference room
Me: "What the hell? This is one of the biggest failures I've been apart of. We got rewarded for thousands and thousands of dollars of wasted time."
<others expressed the same and expletive sediments>
Mgr: "I know..I know...but that's the story we have to stick with. If the company realizes what a fucking mess this is, we could all be fired."
Me: "What?!! All of us?!"
Mgr: "Well, shit rolls downhill. Dept-Mgr-John is ready to fire anyone he felt could make him look bad, which is why I pulled you guys in here. The other sheep out there will go along with anything he says and more than happy to throw you under the bus. Keep your head down until this blows over. Say nothing."

Our web department was deploying a fairly large sales campaign (equivalent to a ‘Black Friday’ for us), and the day before, at 4:00PM, one of the devs emails us and asks “Hey, just a heads up, the main sales page takes almost 30 seconds to load. Any chance you could find out why? Thanks!”
We click the URL they sent, and sure enough, 30 seconds on the dot.
Our department manager almost fell out of his chair (a few ‘F’ bombs were thrown).
DBAs sit next door, so he shouts…
Mgr: ”Hey, did you know the new sales page is taking 30 seconds to open!?”
DBA: “Yea, but it’s not the database. Are you just now hearing about this? They have had performance problems for over week now. Our traces show it’s something on their end.”
Mgr: “-bleep- no!”
Mgr tries to get a hold of anyone …no one is answering the phone..so he leaves to find someone…anyone with authority.
4:15 he comes back..
Mgr: “-beep- All the web managers were in a meeting. I had to interrupt and ask if they knew about the performance problem.”
Me: “Oh crap. I assume they didn’t know or they wouldn’t be in a meeting.”
Mgr: “-bleep- no! No one knew. Apparently the only ones who knew were the 3 developers and the DBA!”
Me: “Uh…what exactly do they want us to do?”
Mgr: “The –bleep- if I know!”
Me: “Are there any load tests we could use for the staging servers? Maybe it’s only the developer servers.”
DBA: “No, just those 3 developers testing. They could reproduce the slowness on staging, so no need for the load tests.”
Mgr: “Oh my –bleep-ing God!”
4:30 ..one of the vice presidents comes into our area…
VP: “So, do we know what the problem is? John tells me you guys are fixing the problem.”
Mgr: “No, we just heard about the problem half hour ago. DBAs said the database side is fine and the traces look like the bottleneck is on web side of things.”
VP: “Hmm, no, John said the problem is the caching. Aren’t you responsible for that?”
Mgr: “Uh…um…yea, but I don’t think anyone knows what the problem is yet.”
VP: “Well, get the caching problem fixed as soon as possible. Our sales numbers this year hinge on the deployment tomorrow.”
- VP leaves -
Me: “I looked at the cache, it’s fine. Their traffic is barely a blip. How much do you want to bet they have a bug or a mistyped url in their javascript? A consistent 30 second load time is suspiciously indicative of a timeout somewhere.”
Mgr: “I was thinking the same thing. I’ll have networking run a trace.”

4:45 Networking run their trace, and sure enough, there was some relative path of ‘something’ pointing to a local resource not on development, it was waiting/timing out after 30 seconds. Fixed the path and page loaded instantaneously. Network admin walks over..
NetworkAdmin: “We had no idea they were having problems. If they told us last week, we could have identified the issue. Did anyone else think 30 second load time was a bit suspicious?”
4:50 VP walks in (“John” is the web team manager)..
VP: “John said the caching issue is fixed. Great job everyone.”
Mgr: “It wasn’t the caching, it was a mistyped resource or something in a javascript file.”
VP: “But the caching is fixed? Right? John said it was caching. Anyway, great job everyone. We’re going to have a great day tomorrow!”
VP leaves
NetworkAdmin: “Ouch…you feel that?”
Me: “Feel what?”
NetworkAdmin: “That bus John just threw us under.”
Mgr: “Yea, but I think John just saved 3 jobs. Remember that.”

Microsoft Office Sharepoint Server.

There is no technology on Earth that speaks worse of Microsoft than is this crap. Nothing they ever made (not even Comic Sans) is as bad as Sharepoint.

No proper editor. Everything is slooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooow. To run it you need a state-of-the-art server. There is no way to make the UI modern, as Sharepoint itself is built upon 1995 era HTML. Tables in tables in tables in tables in tables. And even if you do a web part that's readable, it will be wrapped in shit and presented to the client anyway.
It's so easy to break too. Most of the time I was just watching why the fuck it didn't work. Huge problem with caching as well. Deploying any change requires 10 minutes of manual labor.

I get why companies want to use it. Out of the box it's got quite a few very nice features, and aside from the problems setting it up, and hardware requirements, it works decently well.

But I won't come near it unless I'm paid 100$ per hour or starving to death.

Is your code green?

I've been thinking a lot about this for the past year. There was recently an article on this on slashdot.

I like optimising things to a reasonable degree and avoid bloat. What are some signs of code that isn't green?

* Use of technology that says its fast without real expert review and measurement. Lots of tech out their claims to be fast but actually isn't or is doing so by saturation resources while being inefficient.
* It uses caching. Many might find that counter intuitive. In technology it is surprisingly common to see people scale or cache rather than directly fixing the thing that's watt expensive which is compounded when the cache has weak coverage.
* It uses scaling. Originally scaling was a last resort. The reason is simple, it introduces excessive complexity. Today it's common to see people scale things rather than make them efficient. You end up needing ten instances when a bit of skill could bring you down to one which could scale as well but likely wont need to.
* It uses a non-trivial framework. Frameworks are rarely fast. Most will fall in the range of ten to a thousand times slower in terms of CPU usage. Memory bloat may also force the need for more instances. Frameworks written on already slow high level languages may be especially bad.
* Lacks optimisations for obvious bottlenecks.
* It runs slowly.
* It lacks even basic resource usage measurement.

Unfortunately smells are not enough on their own but are a start. Real measurement and expert review is always the only way to get an idea of if your code is reasonably green.

I find it not uncommon to see things require tens to hundreds to thousands of resources than needed if not more.

In terms of cycles that can be the difference between needing a single core and a thousand cores.

This is common in the industry but it's not because people didn't write everything in assembly. It's usually leaning toward the extreme opposite.

Optimisations are often easy and don't require writing code in binary. In fact the resulting code is often simpler. Excess complexity and inefficient code tend to go hand in hand. Sometimes a code cleaning service is all you need to enhance your green.

I once rewrote a data parsing library that had to parse a hundred MB and was a performance hotspot into C from an interpreted language. I measured it and the results were good. It had been optimised as much as possible in the interpreted version but way still 50 times faster minimum in C.

I recently stumbled upon someone's attempt to do the same and I was able to optimise the interpreted version in five minutes to be twice as fast as the C++ version.

I see opportunity to optimise everywhere in software. A billion KG CO2 could be saved easy if a few green code shops popped up. It's also often a net win. Faster software, lower costs, lower management burden... I'm thinking of starting a consultancy.

The problem is after witnessing the likes of Greta Thunberg then if that's what the next generation has in store then as far as I'm concerned the world can fucking burn and her generation along with it.

Of course the shouting episodes all happened during the era I was doing WordPress dev.

So we were a team of consultants working on this elephant-traffic website. There were a couple of systems for managing content on a more modular level, the "best" being one dubbed MF, a spaghettified monstrosity that the 2 people who joined before me had developed.

We were about to launch that shit into production, so I was watching their AWS account, being the only dev who had operational experience (and not afraid to wipe out that macos piece of shit and dev on a real os).

Anyhow, we enable the thing, and the average number of queries per page load instantly jumps from ~30 (even vanilla WP is horrible) to 1000+. Instances are overloaded and the ASG group goes up from 4 to 22. That just moves the problem elsewhere as now the database server is overwhelmed.

Me: we have to enable database caching for this thing *NOW*

Shitty authors of the monstrosity (SAM): no, our code cannot be responsible for that, it's the platform that can't handle the transition.

Me: we literally flipped a single switch here and look at the jump in all these graphs.

SAM: nono, it's fine, just add more instances

Me: ARE YOU FUCKIN SERIOUS?
Me: - goes and enables database caching without any approvals to do so, explaining to mgmt. that failure to do so would impair business revenue due to huge loading times, so they have to live with some data staleness -

SAM: Noooo, we'll show you it's not our code.
SAM: - pushes a new release of the monstrosity that makes DB queries go above 2k / page load -

...

Tho on the bright side, from that point on I focused exclusively on performance, was building a nice fragment caching framework which made the site fly regardless of what shitty code was powering it, tuned the stack to no end and learned a ton of stuff in the process which allowed me to graduate from the tar pit of WP development.

[vent]
I am java dev with 5 yoe at a place which has really good engineering talent.
Was assigned a feature request.
Feature request requires me and one more older dev(in age, not in exp at company) to write the code. My piece is really super complex because of the nature of the problem and involves caching, lazy loading and tonne of other optimization. Naturally it makes up 90% of the tasks in the feature request. On the other hand, the older dev simply has to write a select query (infact he only needs to call it since a function is already written).
Older dev takes up all the credit, gives the demo, knows nothing but wrongly answers in meetings with higher ups and was recently awarded employee of qtr.
It looks as if I do the easy work whereas he is the one pulling in all the hard work.
Need advice to justify my work and make others realise it's significance, nuances of area and complexity of it.
Do not expect monetary benefits, just expect credit and recognition for the worth of work I am doing.

Let's say you're working on a web application, and you notice that one of the pages is not displaying the correct data. You investigate further and realize that the data is being retrieved from an API endpoint, but for some reason, the API is returning the wrong data.

You start looking into the code that calls the API and notice that it's passing in the correct parameters, so you dig deeper into the API code itself. After hours of poring over the code, you finally discover that the bug is caused by a typo in the database query that the API is using to retrieve the data.

You fix the typo and think the problem is solved, but then you realize that the data is still not displaying correctly on the page. After even more investigation, you discover that the bug is actually being caused by a caching issue on the client side.

At this point, you're feeling incredibly frustrated and overwhelmed. You've spent hours trying to track down this bug, and it feels like every time you think you've found the root cause, another issue pops up. This is just one example of the many challenges that developers face on a daily basis.

CTO at my previous company think that wordpress based website is took a long time to load.
I suggest to use caching and fix ton of abusive query, He refused. He spun up more VM, upgrade the ec2 instance level to the max. Said that he resolved the problem. But the problem still persist actually.
Blame me for slow response website, blame me for late of deployment because data is not ready ( there's a lot of spam in there, we need to clean it before )
I left the company, Coworker said that he just install a bunch of caching plugin,
He made the website down for entire day and don't understand what is happening. Ask other developer to fix it quickly, to do unpaid overime
The site is back to bussiness, said to all team that he already fixed it.
Everything good happened, he claimed that it was his idea.

And the best part is : he put 'ssh' as skill list in his personal site

Oh, you've found a work around for your browser caching? No problem, here's DNS caching so you can fuck with your code again... and not know what the issue is

~ Sincerely, ISP

I'd been with the company for maybe two weeks, pushed some changes and updates to a client's site on a Friday afternoon as instructed by my boss, checked everything over and it's all fine.

Come Monday morning and this client is seriously miffed, not all of the changes had applied and the site was a mess all weekend. Turns out a bug with the caching plugin meant what we were getting in the office was different to outside.

Meetings were held and a new QA procedure was put in place.

This morning me and my colleague had huge debate about using GraphQL or REST. While I was in total favour of GraphQL, that guy was more on REST side because he read some random articles on dev.to and medium and was highly motivated to use REST instead of GraphQL.

The problem is, some people write anything on blogging websites without even doing a proper research.

Since, I have worked on GraphQL, I knew it's pros and cons very clearly and what are the things that can be done to solve them.

The guys said that we can't do native caching in GraphQL at which the lava from my head just got burst out.
I showed him the official GraphQL docs where it was clearly mentioned that we can do caching in GraphQL.
Poor guy couldn't say anything after that.

P.s: We are still going to use old school REST APIs but I am happy that I could prove my point. I'll use GraphQL in my side projects anyway, loss for him if he's not exploring something new.

TL;DR When talking about caching, is it even worth considering try and br as memory efficient as possible?

Context:
I recently chatted with a developer who wanted to improve a frameworks memory usage. It's a framework creating discord bots, providing hooks to events such as message creation. He compared it too 2 other frameworks, where is ranked last with 240mb memory usage for a bot with around 10.5k users iirc. The best framework memory wise used around 120mb, all running on the same amount of users.

So he set out to reduce the memory consumption of that framework. He alone reduced the memory usage by quite some bit. Then he wanted to try out ttl for the cache or rather cache with expirations times, adding no overhead, besides checking every interval of there are so few records that should be deleted. (Somebody in the chat called that sort of cache a meme. Would be happy , if you coukd also explain why that is so😅).
Afterwards the memory usage droped down to 100mb after a Around 3-5 minutes.

The maintainer of the package won't merge his changes, because sone of them really introduce some stuff that might be troublesome later on, such as modifying the default argument for processes, something along these lines. Haven't looked at these changes.

So I'm asking myself whether it's worth saving that much memory. Because at the end of the day, it's cache. Imo cache can be as big as it wants to be, but should stay within borders and of course return memory of needed. Otherwise there should be no problem.
But maybe I just need other people point of view to consider. The other devs reasoning was simple because "it shouldn't consume that much memory", which doesn't really help, so I'm seeking you guys out😁

Not using front-end caching and etags because holy ncs database calculates global etags. A senior engineer fixed it but management told him not to spend time on such a problem.

[CONCEITED RANT]
I'm frustrated than I'm better tha 99% programmers I ever worked with.

Yes, it might sound so conceited.
I Work mainly with C#/.NET Ecosystem as fullstack dev (so also sql, backend, frontend etc), but I'm also forced to use that abhorrent horror that is js and angular.
I write readable code, I write easy code that works and rarely, RARELY causes any problem, The only fancy stuff I do is using new language features that come up with new C# versions, that in latest version were mostly syntactic sugar to make code shorter/more readable/easier.

People I have ever worked with (lot of) mostly try to overdo, overengineer, overcomplicate code, subdivide into methods when not needed fragmenting code and putting tons of variables.

People only needed me to explain my code when the codebase was huge (200K+ lines mostly written by me) of big so they don't have to spend hours to understand what's going on, or, if the customer requested a new technology to explain such new technology so they don't have to study it (which is perfectly understandable). (for example it happened that I was forced to use Devexpress package because they wanted to port a huge application from .NET 4.5 to .NET 8 and rewriting the whole devexpress logic had a HUGE impact on costs so I explained thoroughly and supported during developement because they didn't knew devexpress).

I don't write genius code or clevel tricks and patterns. My code works, doesn't create memory leaks or slowness and mostly works when doing unit tests at first run. Of course I also put bugs and everything, but that's part of the process.

THe point is that other people makes unreadable code, and when they pass code around you hear rising chaos, people cursing "WTF this even means, why he put that here, what the heck this is even supposed to do", you got the drill. And this happens when I read everyone code too.

But it doesn't happens the opposite. My code is often readable because I do code triple backflips only on personal projects because I don't have to explain anyone and I can learn new things and new coding styles.

Instead, people want to impress at work, and this results in unintelligible, chaotic code, full of bugs and that people can't read. They want to mix in the coolest technologies because they feel their virtual penis growing to showoff that they are latest bleeding edge technology experts and all.

They want to experiment on business code at the expense of all the other poor devils who will have to manage it.

Heck, I even worked with a few Microsoft MVPs.
Those are deadly. They're superfast code throughput people that combine lot of stuff.
THen they leave at you the problems once they leave.

This MVP guy on a big project for paperworks digital acquisiton for a big company did this huge project I got called to work in, which consited in a backend and a frontend web portal, and pushed at all costs to put in the middle another CDN web project and another Identity Server project to both do Caching with the cdn "to make it faster" and identity server for SSO (Single sign on).

We had to deal with gruesome work to deal with browser poor caching management and when he left, the SSO server started to loop after authentication at random intervals and I had to solve that stuff he put in with days of debugging that nasty stuff he did.

People definitely can't code, except me.
They have this "first of the class syndrome" which goes to the extent that their skill allows them to and try to do code backflips when they can't even do code pushups, to put them in a physical exercise parallelism.

And most people is like this. They will deny and won't admit, they believe they're good at it, but in reality they aren't.

There is some genius out there that does revoluitionary code and maybe needs to do horrible code to do amazing stuff, and that's ok. And there is also few people like me, with which you can work and produce great stuff.

I found one colleague like this and we had a $800.000 (yes, 800k) project in .NET Technology, which consisted in the renewal of 56 webservices and 3 web portals and 2 Winforms applications for our country main railway transport system. We worked in 2 on it, with a PM from the railway company.

It was estimated 14 months of work and we took 11 and all was working wonders. We had ton of fun doing it because also their PM was a cool guy and we did an awesome project and codebase was a jewel. The difficult thing you couldn't grasp if you read the code is if you don't know how railway systems work and that's the only difficult thing.

Sight, there people is macking me sick of this job

I need help speeding up my website. It's hosted on GoDaddy shared and uses Managed WordPress. I've run tests on Pingdom, PageInsights, GTMetrix and load times vary from 1.3s to 5s depending on the server location. Apparently Managed WP GoDaddy uses a CDN and their own caching plugin (Varnish). I don't know if that's good or bad.

PageInsights says I need to optimize images. I'm using WP Smush but clearly it isn't helping too much. I always manually resize all my images to <=100kb.

Also, the age old leverage browser caching problem... How do I fix that?

Thanks a lot for taking the time to go through this :)

What is the correct way of pulling the latest changes via docker?

Please write step by step commands.

This is how i do it:

1. docker build -t dashboard:latest -t dashboard:v2 dashboard/.

2. docker rm -f dashboard-latest

3. docker run --name dashboard-latest -d -p 8081:80 dashboard

So...

1. Build latest changes
2. Remove the old container
3. Pull those latest changes

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Is there a better way? Less commands? Is this the right way to do it?

Sometimes the changes dont get updated so i waste hours of time trying to figure out if i fucked up the commands, or order of commands, or if its some caching problem etc.

Teach me the right way once and for all.

Here I am sitting again to explain to some nice people that it is not my service causing the havoc but the infrastructure.

Always getting cached content when using the public route (private is fine). When I firstly hit something it should cache then I get that content for every url I hit on that service (e.g. Getting the favicon when fetching the html)
Even when I stop the service the public route does still return content. Let's see if they accept that there may be a caching issue 😥😥😥 ah and the service is running in 2 other environments - must be an application problem