How to optimize fetching ads from DFP and google tag manager scripts? - google-dfp

I'm part of a team working on improving the lighthouse score of our website :
https://www.bikewale.com/m/royalenfield-bikes/classic-350/
We are concentrating on optimising javascript delivery on the page, in order to decrease the time-to-interactive. However, we noticed that scripts like gtm.js, gpt.js and loading of ads on page load, is limiting our maximum improvement to around 70 (lighthouse performance score).
After doing optimisations to javascript delivery on our end, we were able to score atmost 70. We tried removing the js files for google tag manager and gpt, and saw the score rising to 95 (approx). Also, lazy loading all ads, and hence the request to dfp gives us a boost to around 75 (we can't do this due to the first ad is in the first fold).
Please note that we have followed the guides and best practices mentioned in the following links :
gtm - https://developers.google.com/tag-manager/quickstart
gpt - https://support.google.com/admanager/answer/7485975
googletag.pubads().refresh(immediateAds); // immediateAds is array of first fold ads
The refresh method is deteriorating the performance.
Is there a way to optimise the delivery of ads and gtm scripts, in order to improve the performance? Possibly a newer version of the scripts or an alternative? Is there a way to load the first fold ad immediately, and lazy load other ads on the page, without using the refresh() method

Congrats on achieving the 70 score! It's a very respectable score for an e-commerce site.
I'm not super familiar with GTM or GPT, but I can recommend one optimization to help those libraries do their jobs more effectively: preconnect to origins from which ads are served.
For each of those origins, you should add two hints near the top of your page:
<link rel="dns-prefetch" href="https://dt.adsafeprotected.com">
<link rel="preconnect" href="https://dt.adsafeprotected.com">
The first hint asks the browser to do a DNS lookup for the origin. The second asks the browser to set up a TCP connection. Preconnect accomplishes everything dns-prefetch does, but not all browsers support preconnect. Using both hints lets you get the best performance out of as many browsers as possible
Both of these hints give the browser a head start for resources that it won't otherwise know about until later in the page load process.
Keep in mind, depending on the resources loaded, you may need two preconnect hints. You can check the waterfall chart to make sure all connections are set up at the beginning of the page load.

Related

Cant apply for next level rate limit Facebook marketing api

I have to create script to create adsets and ads for a facebook campaign and I have to do it for a lot of items. For now, i can create every needed entity but there is a big problem, the rate limit. I reach it pretty quick (I can create like 15 items before getting a rate limit exception) and this is very limitating, creating eveything by hand is actually much faster... I want to apply to the next level of rate limitation but I can't. One of my coworker contacted someone from facebook and we were told we did not make any API call using my app ID. Since I am able to create a campaigns, adsets, ads... and we can see those in power editor I don't understand what is going on.
What my dashboard looks like
We will need to be able to create everything using the API really soon so, after some research, I try asking the question here. Did I miss something when creating my app ?
You probably want to go through the official request to promote your app from a Basic level to a Standard level. The level for your app determines how heavily it is rate limited. Details here: https://developers.facebook.com/docs/marketing-api/access
It sounds as if you have not make your official request in app dashboard. It's possible we evaluated your number of API calls before you reached the threshold, or the data we are able to see on your API calls was from an earlier time period when you did not consistently reach the boundary.
You could also be hitting rate limits due to your error rates.
You can apply here, and if needed, reapply: https://www.facebook.com/business/standardadsapi?attachment_canonical_url=https%3A%2F%2Fwww.facebook.com%2Fbusiness%2Fstandardadsapi

Wordpress in waiting state

I built a website for someone and I used https://gtmetrix.com to get some analytics, mainly because the wait time is huge (~20 sec) without having any heavy images. Please find attached a screenshot here:
http://img42.com/05yvZ
One of my problems is that it takes quite a long time to perform the 301 redirect. Not sure why, but if someone has a key to the solution I would really appreciate. At least some hints to search would be nice.
The second problem is after the redirection, the waiting time is still huge. As expected I have a few plugins. Their javascripts are called approx. 6 secs after the redirection. Would someone please show me some directions on where to search please?
P.S. I have disabled all plugins and started from a naked plain Twenty Eleven theme, but I still have waiting times during redirection and smaller delay after redirection.
Thanks in advance
But a few suggestions:
1 and 2.) If the redirect is adding noticeable delays; test different redirect methods. There are several approaches to this -- including HTML meta and server side (ie PHP) methods -- I typically stick to server side; if it's showing noticeable delays using a server side method, this may be a great indicator that your experiencing server issues - and may be very well your server all along causing your speed issues; contact your host provider.
3.) Take a look at the size of your media. Images and Video; also Flash if your using any. Often cases it's giant images that were just sliced / saved poorly and not optimized for web in a image editing software like PhotoShop. Optimize your images for web and re-save them at a lower weight to save significant on load time. Also, many cases nowadays and you can avoid using clunky images in general by building the area out using pure CSS3. (ie. Odd repeatable .gifs to create gradients or borders etc.)

Google Places API - How much can I uplift the quota with uplift quota request form?

I am the manager of an iOS application and it uses Google Places API. Right now I am limited to 100,000 requests and during our testing, one or two users could use up to 2000 requests per day (without autocomplete). This means that only about 50 to 200 people will be able to use the app per day before I run out of quota. I know I will need to fill out the uplift request form when the app launches to get more quota but I still feel that I will need a very large quota based on these test results. Can anyone help me with this issue?
Note: I do not want to launch the app until I know I will be able to get a larger quota.
First up, put your review request in sooner rather than later so I have time to review it and make sure it complies with our Terms of Service.
Secondly, how are your users burning 2k requests per day? Would caching results help you lower your request count?
I'm facing the same problem!
Is it possible to use Places library of the Google Maps Javascript API which gives the quota on each end user instead of an API key so that the quota will grow as user grows. See here
Theoretically I think it's possible to do that since it just need a webView or javascript runtime to use the library, but didn't see anyone seems to use this approach.

DFP returning empty vast files (ads)

I am using DFP to serve ads, and fiddler to monitor the requests.
After 3 GET requests to the dfp server, in a short period of time (say 30 seconds), every subsequent request will a list of empty ads.
Does DFP have some sort of spam protection? if so, is there a way around it? debugging an ad implementation is quite slow when you're ad payloads are empty!
There is definitely some rate limiting going on within DFP... I have run into this many times! I think it may be per ad unit from what I can tell... and it doesn't last very long....
As for debugging have your tried the DFP google console? That makes debugging a lot easier... and I am pretty sure it will give you the diagnostics you need to debug without the rate limit being an issue.
Have you looked into adding a "corrolator" value in the parameters?
Just &c=rand(10000,99999).

How scalable is Parse? [closed]

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I've been considering using Parse.com's service for my backend, but I'm skeptical about its scalability.
Can it really handle several thousand simultaneous users? If not, is their any good way transitioning away from it?
I know the question may be old, but wanted to provide my 2 cents for others out there who may be considering parse....
Under the simplest of scenarios, parse may work well. As soon as you need to scale up to more complex queries, I have personally found nothing but headaches.
Queries are limited to 1000 records. Initially, you may think this is not an issue, until you start dealing with sub queries, and realize weird data is returned because the sub query cuts records off without warning or error. (FYI, the default is 100 records unless you specify a limit up to 1000, so the problem is even worse if you are not paying attention).
For some strange reason there is a limit to the number of times you can issue a count query in a min. (and this limit appears to be really low). Be prepared to try and throttle your code so you don't hit this limit, otherwise errors are thrown.
Background Jobs do not run reliably. I have had a background job set to run every 5 min, and there are times it takes 20+ min before the job will kick in.
Lots of Timeouts. This is the one that gives me the most heartburn.
A. If you have a cloud function that takes a while to process, you have about 6 or 7 seconds to get it done or it will cut you off.
B. I get the feeling that there is a general instability with the system. Periodically, I run into issues which seems to last for about an hour or so where timeouts happen more frequently (and with relatively simple functions that should return immediately).
I fully regret my decision to use parse, and I am doing all I can to keep the app alive long enough for us to get funding, so we can move off the platform. If anyone has any better alternatives to parse, I am all ears.
[Edit: after three amazing years with the team, I've decided to move on and am no longer a Parse or Facebook employee. The team is in great hands and has done amazing things. The entire backend has been rewritten to increase performance and reliability dramatically. The roadmap is amazing, and I expect great things to come from the team. At the time of my departure, Parse powered over 600,000 applications and served a mind boggling number of requests each day. Were each Parse push to be sent to a unique person, they could form the world's fourth largest country in one day. For future help with Parse, please either post questions here with the parse.com tag or post to the parse-developers Google group.]
Full disclosure: I'm a Parse engineer.
Parse already hosts thousands of apps, let alone users. When we exited beta in late march, we announced over 10,000 applications running on Parse with a 40% month-over-month growth rate. Parse is staffed by a world-class team, many with years of experience in big data and high volume traffic.
We welcome your traffic with open arms; you will be in the company of great teams like Band of the Day and Hipmunk. We are so confident in our services that we built our One Click Export system so people like you can try Parse risk free. If you feel Parse does not meet your performance expectations, we will gladly send you off with all of your data intact.
We chose Parse as the backend for our app.
Conclusion: DON'T.
Stability is a disaster, performance is a disaster too, and so is support (probably because they can't really help you because all the issues are non-reproducible).
Running even the simplest of functions can lead to random timeouts inside Parse (I am talking about simple PFUser login calls for instance):
Error: Error Domain=NSURLErrorDomain Code=-1001 "The request timed out." UserInfo=0x17e42480 {NSErrorFailingURLStringKey=https://api.parse.com/2/client_events, NSErrorFailingURLKey=https://api.parse.com/2/client_events, NSLocalizedDescription=The request timed out., NSUnderlyingError=0x17d10e60 "The request timed out."} (Code: 100, Version: 1.2.20)
We encounter timeouts on a daily basis, and this is with an app we are testing with 10 users max!
This is the typical one we get back all the time, at completely arbitrary moments and impossible to reproduce. Calling a Cloud Code function that does a few queries and a few inserts:
{"code":124,"message":"Request timed out"}
Try the same 10 minutes later and it runs in less than a second. Try again 20 minutes later and it takes 30 seconds to execute.
Because there is no transactionality it is really a lot of fun when storing for instance 3 objects in 1 Cloud Code function, where Parse decides to bail out of the function randomly after let's say having saved 2 of the 3 objects. Great to keep your database consistent.
The "best" ones we got where these. Mind you, this is the actual data coming back from a Cloud Code function:
{"code":107,"message":"Received an error with invalid JSON from Parse: <!DOCTYPE html>\n<html>\n<head>\n <title>We're sorry, but something went wrong (500)</title>\n <style type=\"text/css\">\n body { background-color: #fff; color: #666; text-align: center; font-family: arial, sans-serif; }\n div.dialog {\n width: 25em;\n padding: 0 4em;\n margin: 4em auto 0 auto;\n border: 1px solid #ccc;\n border-right-color: #999;\n border-bottom-color: #999;\n }\n h1 { font-size: 100%; color: #f00; line-height: 1.5em; }\n </style>\n</head>\n\n<body>\n <!-- This file lives in public/500.html -->\n <div class=\"dialog\">\n <h1>We're sorry, but something went wrong.</h1>\n <p>We've been notified about this issue and we'll take a look at it shortly.</p>\n </div>\n</body>\n</html>\n"}
The stuff I describe here is not something that happens once in a blue moon in our project. Except for the 500 errors (which I encountered twice in a month) all the others are seen on a daily basis.
So yes, it's very easy to get started with, but you must take into account that you are working on an unstable platform, so make sure you got your retries and exponential backoff systems up and running, because you will need this!
What worries me the most is that I have no idea what would happen once 20.000 people start using my app on this backend.
edit:
Right now I have this when doing a PFUser login:
Error: Error Domain=PF_AFNetworkingErrorDomain Code=-1011 "Expected status code in (200-299), got 502" UserInfo=0x165ec090 {NSLocalizedRecoverySuggestion=<html><body><h1>502 Bad Gateway</h1>
The server returned an invalid or incomplete response.
</body></html>
, PF_AFNetworkingOperationFailingURLResponseErrorKey=<NSHTTPURLResponse: 0x16615c10> { URL: https://api.parse.com/2/get } { status code: 502, headers {
"Cache-Control" = "no-cache";
Connection = "keep-alive";
"Content-Length" = 107;
"Content-Type" = "text/html; charset=utf-8";
Date = "Mon, 08 Sep 2014 13:16:46 GMT";
Server = "nginx/1.6.0";
} }, NSErrorFailingURLKey=https://api.parse.com/2/get, NSLocalizedDescription=Expected status code in (200-299), got 502, PF_AFNetworkingOperationFailingURLRequestErrorKey=<NSMutableURLRequest: 0x166f68b0> { URL: https://api.parse.com/2/get }} (Code: 100, Version: 1.2.20)
Isn't it great?
If you're writing a small/simple app (or a throwaway prototype) with little to no logic on the backend then go for it, but for something larger/scalable it's best to avoid it, I can say that from first hand experience. It all sounds good with their user management, push notifications, abstracted storage and what not but in the end it's not worth the trouble. Namely I was developing the backend for an app on Parse, clients were so much into it because it sounded cool and promising (strong marketing I guess), being bought by Facebook and what not, but a few weeks into production major issues/limitations with the platform started arising, what should be a simple app turned out to be a nightmare to develop and scale.
The result/conclusion of the project:
- broke the time window for a relatively simple app - it should have lasted 2-3 months, it lasted almost a year and still isn't stable/reliable, if we used a custom stack it'd be done inside the time window for sure cause I made a similar demo project in 5-10 days with a custom node stack
- lost the client's trust, they're now remaking the app with another team who'll use a custom stack
- lost loads of cash for breaking the time window and trying to make it work
- did so much overtime cause of it that it started to reflect on my health
- never using some platform/solution that promises to have it all, always going with a custom/tried stack
First were the stability issues and constant failing of the platform like server downtimes and random errors, but they have all that sorted out (that was at the start-mid of 2014), but the following problems remain:
you can't debug your code, at least at the time being (there are ways you could make it work with an additional node server and some obscure lib)
the limits are ridiculous, a scalable platform which can do 50-60 API request per second (or more depending on your subscription), which isn't as low it sounds until you start to do strain testing, and when you hit it your code will constantly fail
API calls are measured like this: calling a server function (Parse job) - 1 call, querying the database - 1 call, another query (cause they don't have some advanced/complex query system in place, if you have a more complex database schema you'll realise very soon what I mean) - 1 call, if you need to get more than 1000 queries guess what - query again, etc., query for count (you need to do it as a separate query) which is unreliable (tends to return an approximation for a few thousand entries)
creating/saving ~1000+ simple objects is a strain on the platform/database, deleting 1000 or more objects, even more so, which is ridiculously fast for normal databases, but on Parse it tends to take 5-10 minutes (if you check it more closely it deletes 20 objects per batch)
no way to use most of the npm packages (only the pure JS ones by including the source directly)
if you go and read Parse forums you'll see users downvoting/roasting the Parse team constantly for the platform's lack of features and needing to jump through hoops for arbitrary logic implementation like fetching random entries and similar stuff
they support Stripe integration, but if you want to use Paypal or some other payment service (we decided to use Paypal cause it has a vastly superior country support over Stripe) you can't make it work on Parse, for Paypal integration I had to use a separate server to pull it off
no easy way to sync users and handle concurrency issues, you have to use hacks and some funny logic you wouldn't use or admit using nowhere never
want 100+, let alone 1000+ simultaneous users, good luck pulling that off
when you want to find out the number of entries in a table, you can hit the limit on calling the count query which it's funny, not documented and totally ridiculous, and in the end returns an approximate number
modularity is foreign to the platform, the functions you call from your jobs can't last more than a couple of seconds (7 seconds I think) and when you take into consideration the query time it's bound to happen a lot with more complex queries and some complex logic
You can have something like Cron jobs but they can't last more than 15 minutes (due to the low performance of the platform like multiple queries that's very, very short), they are limited to 2-3-4 simultaneous jobs depending on your subscription fee, and have a very limited/poor scheduling system in place (e.g. you can't edit it from your code, it's very limited so you have to use hacks to run the same job at 2 exact times during the day or something similar, it can't watch for time savings etc.)
When you get an error on the server it can be totally misleading, check the forums for that, can't remember anything from top of my mind
Push notifications are regularly late as much as 20-30 minutes
An arbitrary example: you want to fetch a random item from their database, your app makes the call to a job that'll provide it (1 API call), the job queries the database, but you have to make 2 calls, first to get the count of the items (1 API call) and then a second one to get a random item (1 API call), this is 3 API calls for that functionality, and with 60 requests per second, 20 users can make that call at a given time before hitting the request limit and the platform going haywire, after you include other users browsing through app screens and stuff, you see where this leads...
If it were any good wouldn't Facebook who bought it every mention using it for even some of their apps? I'd suggest 3 things:
- first - don't listen to the Parse guy, it's his platform so he has to promote it, listen to people who have been using it to make something using it
- second - if you need a serious and scalable platform and don't want to go fully custom, go for Amazon Cloud services or something similar that's tested and reliable
- third - stay away from the platform if you have any server side experience, if you don't then go and hire a backend dev for the project, it will be cheaper and you'll get a working solution in the end
I have spent the day looking into parse.com and here is my current opinion based on what I've found (Please bear in mind that I have only very brief experience of developing with the SDK as yet)..
Parse.com clearly has some very attractive positives which is why I found myself looking into it, but for the sake of debate I will concentrate on being critical as the great positives are all listed on their website. (Well done parse.com for attempting to solve such a great problem!)...
In the testimonials, Hipmunk is the biggest name I would say. It is listed as an app which uses the data portion of the SDK. Without approaching Hipmunk developers, I can't know for sure but I can't imagine them storing ALL their data in the parse.com cloud.
After trying and browsing most of the apps listed. None really stand out as being hugely dependent on a server back-end so I find it impossible to get an idea of whether or not scalability has been solved using parse.com based on these.
The website states 40,000 apps and counting. I feel (but do not know) that based on the app gallery, this figure is based on the amount of apps in their user-base, and not real live production apps in the app-stores. The app gallery would feature far more big names if that many apps were using parse.com.
Parse.com is a very new concept, and very different even to its closest rivals. So without concrete evidence on how scalable and stable (and all the rest) it is, then it is very hard for a developer on a project to consider committing to it as there is too much at stake.
I ran tests for my own answer to similar question and it can be VERY, VERY FAST. However , the results you get may depend on the details of your implementation...
Test compared Android SDK to Android using native HTTP stack making Parse/REST calls...
Test Details:
Test environment - newest Android version on 10 month old phone over fast WIFI connection.
( upload 63 pictures where avg filesize=80K )
test 1 using the android SDK RESULT=Slow performance
test 2 using native REST calls over android RESULT=VERT FAST
--EDIT-- as there is interest here....
Regarding http thruput , the parse SDK(android) and performance, it may be that parse.com has not optimized performance on the way that they implement android asyncTask() in the parse.android SDK? How the work that required 8 min. on parse.sdk could be done in 3 seconds on an optimized REST , DIY framework ( see links for details on implementations), i really do not know. If parse have not fixed their SDK implementation since these comparison tests ran, then you probably dont want their default SDK asnycTask stuff doing anything approaching a real workload on the network.
The great attraction about Parse (and similar SaaS) is that you can save tens of thousands on back-end development costs. Given that the back-end is often the most expensive aspect of a Web app; that head-ache is suddenly poof.
The problem with Parse and most (all) SaaS is that the region, power, memory, bandwidth, scalability, thresholds, alerts and various actions are out of your control.
Same with Shopify. It's a great Saas with comprehensive control over products, orders, inventory, and aesthetics -- but zero control over the machine. So, today's SaaS is not a heck of a lot different than godaddy. They invariably oversell or max-out their machines in order to make money; and you are stuck if you really care about ass-kicking performance. You cannot even buy that level of service.
I would like something AT LEAST as powerful and comprehensive as the AWS console. Most techies know and accept that Heroku and Parse are both hosted on AWS. Who cares. So charge more for the added service, but don't deny access to those critical low-level tools that make a Site and App and the user experience zing. Hint to those Parse employees.
At any rate, in answer to the question:
The Parse API is simple JSON. So you can pump out the data in the same JSON format that a Parse application expects.
You might even be able to utilize their PFObject (iOS). At some point, all that highlevel API goes to a common HTTP request/response. The good thing about REST's generality means common-of-the-shelf; things like http, url, strings, and utf. No funky Orb here.
Parse is great to start with especially helper functions/features about user management. But I started encountering issues ..
Long execution/ping times, 1000 object limit INCLUDING subqueries, no datacenters at europe (as far as I know)
It would've been a divine platform if they could sort performance and stability issues. I somehow regret developing with it, but I put 5000+ lines of code so I'm going to stick with it.
Maybe they should separate their DEV apps and PROD apps environments, and only allow PROD apps after some kind of supervision, or create a different environment with only paying customers?
We are in 2014, $20/month servers can handle unoptimized websites(60 not-cached db queries on homepage) with 1 million visits/month, this shouldn't be that hard come on Parse!
It's ok for prototyping the apps, especially if the iOS/Android developer doesn't know how to build a DB/API backend himself.
It's not ok at all, when it comes to developing an application with a logic that requires queries more complex than:
SELECT * FROM 'db' WHERE 'column' = 'value' LIMIT 100;
Related queries and inner joins do not exist on Parse. And good luck updating/removing 320 000 records if you need (that's the number I'm working with now).
The only thing that is really useful is handling the Users through the SDK. If I could find a good docs or even tutorial how to handle/create users through iOS/Android apps using Django and DRF/Tastypie, I'm instantly converting everything is being developed in our company to use that.