Tag: big

php – big website best way to create a multi-language?

I am working on a final university project, such as an administration panel with a lot of visualization and process, and a requirement is that it is necessary to support several languages. Spanish English.

The project is based on: https://adminlte.io/blog/free-admin-panels

and the web server is LAMP, it doesn't use php framework, it uses pure php, html, javascript, jquery, mysql.

https://www.youtube.com/results?search_query=large+web+site+best+way+to+create+a+multi-language%3F

but I think this website is too big to use translations normally, any suggestions?

I am aware that the question is subjective, but there are so many options that when I go to see it, it remains to be for simple things and not by an Administrative System, the other drawback is that the screens consulted are handled by ajax, they are supposed to translate from the server (executed by php).

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NVMe on shared hosting servers: is it really a big advantage or, for the most part, an exaggeration?

Hello,

I know that NVMe offers much better performance (if implemented correctly) but it also presents a number of challenges and even compromises: there are only a few RAID solutions (basically, all I know is that Intel VROC, HighPoint SSDxxxx NVMe and mdraid controllers) , all are hybrid solutions (the CPU is doing RAID calculations), it seems that the riser card used in 1U servers can generate significant incompatibilities (according to HighPoint support, one of the few NVMe raid solutions).

But in addition to these challenges, those of you who managed to implement this correctly and got those great speeds of several GB / s, what kind of overall increase in server performance are you seeing? Is it worth all the trouble?

Thank you!

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c ++ – Is there a way to speed up a big change statement?

As a practice, I am working on a CPU simulator (it works at approximately 1.78MHz) and I am using a switch instruction to execute correct operation codes based on the value in the IR variable (instruction register). This change statement needs 256 cases. While it may not be so large, the change statement must be executed many times in a short period of time. Is there a better way to make a quick code than to use a change statement for the same purpose?

The operation codes can be divided into two parts: addressing mode and the actual operation. For the compact code, these could probably be organized into functions and placed in the cases according to which they are necessary. I'm not sure if writing each one separately would be much more efficient, even if it makes the code bigger.

Another idea, which I'm still not sure how to do, is that I could try to detect the addressing mode and the operation from the operation code before the change statement (s) and then use one to execute the modes of addressing to obtain the effective address and then a second change instruction to perform the actual operation (and rewrite in memory if it was an RMW instruction).

So any ideas? Is the change statement the best option here and what other optimization can I do to make sure the simulation runs smoothly?

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Better performance, lower latency and unmeasured bandwidth are just the beginning of its partnership with Limestone Networks.

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Bandwidth Not Measured
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Intel Xeon 1270v3
32GB DDR3 ECC RAM
256 GB dual SSD
Bandwidth Not Measured
ONLY $ 99 / MONTH AFTER THE DISCOUNT!

Intel Xeon E-2134 (NEW SERVER LINE)
32GB DDR4 ECC
512GB individual SSD
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Intel Xeon E-2176G (NEW SERVER LINE)
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32GB DDR3 ECC RAM
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Bandwidth Not Measured
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32GB DDR4 ECC RAM
512GB individual SSD
ONLY $ 130 / MONTH AFTER THE DISCOUNT!

Intel Xeon E-2176G (NEW SERVER LINE)
64GB DDR4 ECC
512GB dual SSD
ONLY $ 172 / MONTH AFTER THE DISCOUNT!

AMD EPYC 7281 / AMD EPYC 7401
DUAL or SIMPLE PROCESSOR READY!

Visit us today and order these settings before these offers disappear forever!
(coupon expires 07/21/2019)

Data center features:

• SSAE 16 type II certified data center
• 80,000 gallon reserve water tank
• Located in the protected power grid
• Redundancy 2N & N + 1
• Card and biometric access points
• Security in place 24/7

Network Functions:

• Multiple Tier 1 fiber conveyors
• Redundant cores and border routers
• Internal flow controller
• 500 Gbps DDoS protection available
• Private network not measured

Features of the reseller program:

• Basic discounts by levels
• Upgrade discounts by levels
• Single level bonuses
• Brand control panel
• Specialists in dedicated accounts

Support plans and details:

• Passionate unmanaged support 24x7x365
• 10 minutes available uptime monitoring
• Proactive management available for software and operating system
• First support responses <10 minutes
• Fast provisioning

Big discrepancy in distribution when I add segments to Google Analytics data

I am using Google Analytics for a multilingual website. Recently I began to delve into the data of page views and found something really peculiar. My page visit data, as well as unique visitors, have been quite stable for the past two years, at least this is what I thought. For ALL the different filters and ways of analyzing my page views, I get this data and this distribution of page views during the last 2 years. Sorry for the Swedish words, but you just need to see the distribution and the numbers.

Common view of my page view data

However, when I click on "Add segment" and, for example, I add "Mobile" to the data, I get this distribution:

Distribution when I add a segment

As you can see below the graphs, the total number of page views and other data is more or less the same, but not exactly the same (which in some ways is interesting), but the distribution is quite different when we look at the blue area here, which is "All segments". It should be the same as the top one, since I've only added a subset to the chart.

This paints a different picture of how the website is working (that is, much worse this year than last year). I have seen a decrease in advertising revenue that could imply that the latter is more relevant, but it is not a very good measurement.

Another interesting thing is that I use exactly the same settings for other website translations (but with different Google Analytics IDs) and I don't see any discrepancies there.

Why is there a discrepancy between the two graphics, just because I add "Mobile"? Most importantly, which one is the most relevant?