Scaling PHP Apps is filling in a ton of unexpected gaps in my server knowledge - Chris Fidao The book is delivered instantly in PDF, ePub, and Mobi format. Scaling PHP Book: I will teach you to scale PHP to millions of users .. It will be self-published, DRM-free in PDF, mobi, epub. Looking into. scaling is NOT CODE about infrastructure your code is fast enough php-fpm. MySQL. Master nginx php-fpm nginx php-fpm nsq. MySQL. Read. Only redis.
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It's an important book that'll save you hours of research and testing. Feel free to shoot me an email, there is a contact link on my blog, http: Go with http: Authors, publishers and universities use Leanpub to publish amazing in-progress and completed books and courses, just like this one. Please confirm your location: Upgrade account. Is it just me, or is the site ing.
Checking out a book Scaling PHP Applications, By Stephen Corona will certainly opened up an individual to think much better, to keep smile, to entertain themselves, and also to urge the knowledge. Every e-book additionally has their particular to affect the viewers.
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It will not curse your time. It is extremely satisfying when at the midday, with a mug of coffee or tea and also an e-book Scaling PHP Applications, By Stephen Corona in your kitchen appliance or computer monitor. By appreciating the sights around, right here you could start reading. I'm sharing everything I've learnt in this ebook so you can skip over the trial-and-error and head straight to the techniques. Result-proven techniques This content doesn't exist anywhere else When I set out to write Scaling PHP Apps, my goal was to write about topics that didn't really exist anywhere else.
This isn't regurgitated documentation- it's real life scaling techniques, mixed with case studies and in-depth exploration. Make no mistake, this is a highly technical book, and you should already be comfortable with PHP. If you've ever researched scaling, you know nothing like this book really exists anywhere else.
It's an important book that'll save you hours of research and testing.
Readers have told me it's blown their expectations away and that they've implemented hundreds of tidbits into their stack. This book is filled with pages of real-life, practical content. Changes that you can implement today! Highly recommended if you're building php web apps By stevergill I normally purchase books based on reviews, but despite only have one average review, the preview of this book intrigued me.
It appeared to be exactly what I was looking for. I'm glad I bought it. Of course. Probably a lot less than cleaning up the damage from some cowboy coding. Muzza on June 6, What do you mean by this? That you should consider a non-relational database? Clearly any mapping from an OOP language to a relational database is an object-relational mapping.
What I meant to say is that ActiveRecord isn't the only pattern. This is the real world. We don't need perfect abstractions. Which, really, should be "ActiveRecord is an anti-pattern". FuzzyDunlop on June 6, It could be as simple as the performance loss incurred by an ORM is greater than the benefit of using it. I'd argue that, in some cases, an ORM is only used as a reaction to the separation of concerns.
Or maybe SQL is considered too difficult. I quite like having full control over a 'raw' query without requiring an ORM's opinion on how it should be built. PDO doesn't handle mapping of nested relationships, though which is where it falls down when compared to ActiveRecord implementations. For example I want to fetch an author and all of the author's books in a single query then loop over and print out author name, and each book. A standard ActiveRecord ORM will give you an array of authors where each author contains an array of books, where as with PDO you're still left to manually detect a change in author by a change in the primary key which is more complex than just writing a nested for loop.
FuzzyDunlop on June 8, It just hides the fact it's performing several queries to get what you want. As the parent said, ultimately cpu cycle on your web servers don't matter much, you will be limited by IO everywhere.
Even in terms of actual php's calculation, your main strong point is figuring out what you can remove from the page processing and put in a daemon instead. This fetishism with scaling It feels like work because you're doing something technical but, in the end, you're adding very little to your product. Yesterday I had a meeting with a potential customer and I hated it. I hate to try to explain my SaaS software to non-technical people who treat me like some year-old webmaster.
I'd much rather be refactoring Clojure code. But I got out of my comfort zone and this client will probably add hundreds of thousands to my bottom line. And I'm glad I was at that meeting while my competitors were fetishizing about non-existent scaling issues.
Performance isn't a problem until it is, and then when it is a problem, it's bigger than any other problem in the world because you have nothing to sell if it does not operate. I always thought I was being wise by not doing any premature optimization, but after a few lessons learned the hard way I certainly factor in performance to the design of software before I build now.
Scalability is not a "feature" tacked on at the end development. As an engineer, not knowing how to scale when working on something that may need to scale could spell the downfall of whatever product you're working on. Yes, all is well and fine until you hit a natural growth cycle and can't commission new boxes fast enough because each request is taking ms.
Your database isn't accepting enough requests plus, some of your bad queries that aren't indexing are blocking too long.
Then your web servers run out of memory because you are using an ORM for large lists of items that you're just returning as an array Once you get to the point of no return you have to know what to do or you'll suffer.
Learning that when fire is falling from the skies is the worst way in retrospect. Part of being a good developer is knowing where the scalability bottlenecks are likely to be as you are developing software, and making intelligent decisions about the algorithms, data structures, and architectures you use.
I would never advise a developer to not "factor in" performance or future scalability needs at all. The problem is when you spend significant extra effort building highly scalable architectures that you don't need now and may likely never need. TylerE on June 5, To a point. However, it's also rather painful to add after the fact in many architectures, and you've ever been up against that wall once, you'll never want to be in that situation again.
Plus, almost all of these techniques will also speed up page generation on a lightly-loaded server, so that's a win in any circumstance. That usually happens in combination with more concurrent users. Depending on how large and how organized your code is, things can get very ugly when the site starts throwing errors, being unresponsive, etc.
I usually know where I want to go as a next step with scaling and monitor our resource usage until it gets pretty high. Then we take the next step. But we don't spend a huge amount of time scaling until we know we need it. I went back and forth with them about optimizing the app, but it was apparently some huge labyrinthine monstrosity. They insisted that they didn't have the resources to do any of the significant rewrites that it would require to fix the app to do proper queries or at least, not enough to be worthwhile.
Eventually I gave up. Since no temporary tables lasted that long, the VFS layer never wrote to the disk if it didn't have to. Optimizing isn't about a checklist, it's about looking at the system that you have, understanding what it's doing and why, and understanding how the other systems around it behave so that you can resolve the issue. Moving onto another database server wouldn't have helped them.
Moving onto a RAID would have reduced the impact, but their load didn't scale linearly so they'd hit their limit in a few months anyway. Obviously needs the RAM though. I never said "in the US", but even in the US you can get a pretty good deal: No, you didn't, but we all knew you were talking about Hetzner. One company, selling consumer-grade desktop parts unfit for use in a production server, in one country, does not lend credibility to statements like you made.
It's something like saying salary isn't important to startups because labor costs in China are pennies per hour. It's for god's sake, and 32GB RAM servers are still hundreds of dollars a month to rent from any first class data center. This is a bit of a tangent, but do you have any sources for consumer-grade desktop parts being lower quality than enterprise-grade?
I'd like to read an in-depth hardware analysis that describes circuit board design, capacitor sourcing, etc.
I'm really curious to see how different equivalently priced ASUS and supermicro boards differ. Read the comments here: You can split hairs all you like, Dan, but you're still missing the point: Hetzner doesn't use ECC ram modules. Might not be important if you use it for a memcached server, or it might be a disaster in other cases.
I don't think he meant RAM. Otherwise, I want to know too! What is a 32GB server? He means a web server with 32 gigabytes of memory.
MostAwesomeDude on June 5, You're worried about people caring about scaling? What about the rampant PHP addiction? Focus on the real problem! Mikushi on June 5, Good to know other people want to share about successful scaling with PHP.
Just because one person releases a book doesn't mean you don't have something valuable to share as well. I say go for it. There's bound to be a lot of stuff in your book this one misses, and probably vice versa. People who are facing large-scale situations generally want all the information they can get their hands on.
If you need to know PHP scaling, a the amount of money that two books cost is still absolutely meaningless to you, b you will, very probably, still have questions after thoroughly reading your first book and c it is worth having a second book just to have a second shot at book cover art which will convince one of your engineers to actually read the damn thing instead of re-inventing it poorly as need arises.
Absolutely finish and release your book. Half-writing a book is an even worse decision than writing a book. Tongue only somewhat in cheek there: Feel free to shoot me an email, there is a contact link on my blog, http: At my first company, I freaked when we got a major competitor.
The CEO smiled and said it was the first sign of a good market.
He was concerned about the lack of competition up to that point. And it is an important enough topic to warrant the purchase of two books from my perspective.
Publish your book and let the market decide. Certainly don't let a pre-announcement of a book that's not fully written yet yet alone reviewed discourage you! Yes, please do not forgo the completion of your book. I would love to hear about it once available as well. I have never had the chance to work in an environment where scaling PHP was necessary, and I am trying to gain all of the knowledge I possibly can on the subject so that I can take on bigger projects.
Dont get discouraged by this. For example, Dropbox didnt get discouraged by the rumors of GDrive in and look where they are: Of course totally different ball game, just saying: Try all you can before giving up especially since you are almost there! Good Luck! What are you waiting for? Go with http: I'm looking forward to reading both books.
Definitely publish. What if your book covered all the stuff he doesn't. The majority of readers of these books will not have products that require scaling to millions and will probably purchase both books. Sounds like market validation to me. Sounds interesting.
Do you have any method of "keeping in touch", so I can check it out when it's ready? Is there anywhere to register to receive more information on your book when you get nearer?
Just continue your work and let us know when it's ready! You could collaborate?
My understanding is that no one finds it hard in a purely technical sense to scale the pure page-serving portion of your website, whether it's PHP, Rails, Lift, etc. The hard part is scaling access to your underling data, which heavily depends on your exact use case.
In what formats will this book be available? When I see a new self-published book, I assume it will be available digitally. Your site which is really well-designed mentions nothing of the format.
Either way, I would like to see images of what the product will look like. For someone like me who doesn't need this book but is still interested in its topic, images of a well-designed book might make the difference in whether or not I purchase it. Thanks for the feedback- all really good points. As the month goes on, I'll have some pictures of the cover-art and chapter list available.
This is perfectly timed. I'm looking forward to it. I signed up immediately. However, it looks like your mailchimp account is setup to link to phpscalingbook. I clicked on the "continue to website" link after confirming.
Thanks for letting me know, I fixed it! Much appreciated. Good luck to you! Looking forward to the book. I have a pretty comprehensive list of chapters, but I'm still adding content to the book, so if you guys have any ideas or suggestions for topics you'd like to see covered, feel free to email me or post them here.
Thanks so much!
Also, I noticed that when I clicked the return to website after clicking on the subscribe button your website, it went to google. And if you need any proofreaders, I'd be more than happy to help! Udo on June 5, I'd be interested in your opinion about premature optimizations and how your experiences with bottlenecks matched up compared to your initial expectations. I often find myself overthinking performance and scalability issues that turn out to be not relevant in the end Are you looking for any proofreaders?
Sounds interesting, especially since your stack matches mine pretty well, so count me in. However, it should be pointed out there is nothing there at your site to see yet apart from the discount and announcement thing. I'm sorry, that's just plain wrong, or you were exposed to the wrong ORMs. Doctrine2 has great scalability - it has all sorts of caching built into it - result caching, query caching, and so on and so forth. It's actually -way- more scalable, and easier to develop for, than writing raw SQL which, by the way, is a portability nightmare.