I'm looking for a tool that will send me an alert for page load time.
Think of a downtime alert, eg: Pingdom, but one that sends alerts once a page load time increases above a certain threshold. Eg: Alert that X page has taken greater than 7 seconds consistently for 30 minutes.
I know of a lot of tools that give you historical records and page speed metrics after the fact, or give you Apdex scores, but nothing that alerts around speed thresholds.
Does anyone know of such a tool?
Almost all website monitoring services have alerts when the response time is above certain threshold. Your question however is bit more specific since you have a time frame (30 min). Depending on the service used and the monitoring frequency, during a 30 min period you might have between 1 and 30 tests. Do you want an alert if all of those tests are above 7 seconds or if the average response time is above 7 seconds?
I can speak of WebSitePulse where you can receive an alert if 1 or more tests in a row have detected a problem or if the page-load time is within certain limits.
GTmetrix.com Offers Daily alerts for Yslow and PageSpeed scores, as well as great breakdowns and grades for specific ticket items. Great freemium business model as well, free for 3 sites.
Upgraded versions include loading videos of your site.
Source: Just used it for my company's site.
Related
Let's say I buy 1000 req/s, but only use 30 req/s. Which do I get charged for? The docs are unclear to me "pro-rated by the hour." How can I spend the minimal amount while ensuring all requests fulfilled?
You are charged by plan. If you take the 1000 req/s offer you will pay for 1000 req/s even if you only use 1.
The best way to handle that is to monitor the requests and change the plan when you get "too close" to the limit. I cannot give you a number or percentage as it heavily depends on your app. If your app evolves very slowly you can probably wait to reach 90%+ of the limit. On the other hand, If the app evolves very fast and you know you might get a lot of new users at any moments because your app is getting trending, you might want to be careful and start changing your plan at 50 or 60%. By default parse warns you when you reach 75%. At the end it's all about how your app is growing. You have an Analytics section in your app dashboard on Parse that will help you to monitor the requests and the growth of the app.
I am analyzing a web application and want to predict the maximum users that application can support. Now i have the below numbers out of my load test execution
1. Response Time
2. Throughput
3. CPU
I have the application use case SLA
Response Time - 4 Secs
CPU - 65%
When i execute load test of 10 concurrent users (without Think Time) for a particular use case the average response time reaches 3.5 Seconds and CPU touches 50%. Next I execute load test of 20 concurrent users and response time reaches 6 seconds and CPU 70% thus surpassing the SLA.
The application server configuration is 4 core 7 GB RAM.
Going by the data does this suggests that the web application can support only 10 user at a time? Is there any formula or procedure which can suggest what is the maximum users the application can support.
TIA
"Concurrent users" is not a meaningful measurement, unless you also model "think time" and a couple of other things.
Think about the case of people reading books on a Kindle. An average reader will turn the page every 60 seconds, sending a little ping to a central server. If the system can support 10,000 of those pings per second, how many "concurrent users" is that? About 10,000 * 60, or 600,000. Now imagine that people read faster, turning pages every 30 seconds. The same system will only be able to support half as many "concurrent users". Now imagine a game like Halo online. Each user will be emitting multiple transactions / requests per second. In other words, user behavior matters a lot, and you can't control it. You can only model it.
So, for your application, you have to make a reasonable guess at the "think time" between requests, and add that to your benchmark. Only then will you start to approach a reasonable simulation. Other things to think about are session time, variability, time of day, etc.
Chapter 4 of the "Mature Optimization Handbook" discusses a lot of these issues: http://carlos.bueno.org/optimization/mature-optimization.pdf
Parse now allows us to send 30 requests/second, but it is not straightforward to me.
Quoting some info gathered:
Here they say
At 30 requests/sec, an app can send us 77.76 million API requests in
a month before needing to pay a dime.
So I suppose he meant
send up to 77.76 million
Here, they suggest the rate of requests/second is calculated in a small window, generally a minute. This was answered about 2 years ago.
On their pricing faq page they give an example:
if an app is set to 30 requests/second, your app will hit its request
limit once it makes more than 1,800 requests over a 60 second period.
Suggesting that the window is one minute, even though they didn't clearly state it.
What intrigues me is that they say:
Pricing is pro-rated by the hour.
What does it mean? (sorry if it's obvious, English is not my first language)
Has anyone actually used parse and kept track of those request/second and burst/limits?
The only resource I found was a guy saying he had a web application with 10,000 users/day staying in the website around 4min, and he had under 12r/s.
Moreover, if my app logs users' activities, would that be a good practice to cache this info then send it in random times like between from 3am-7am?
Any help is very appreciated. My company is deciding whether go forward with Parse or not, so it's very important.
They could have worded it better but it basically means the same as "We'll charge you for a minimum of 1 hour based on the request limit you have set".
Here's an example. Assume you are using a 40 rps settings ($100/month which is $100/720 hours). If you keep this for 1 minute, you'll be charged for 1 hour, roughly $1.40.
You can change the request limit as often as you want. So if your app/site receives peak traffic for only 12 hours/day, you can increase the limit just for those 12 hours and end up paying just for those 12 hours.
Check the third question (How frequently can I increase/decrease my request limit?) on the FAQ page at https://parse.com/plans/faq
How frequently can I increase/decrease my request limit?
You can increase/decrease your request/limit as frequently as you would like
within a given month. We will prorate your charges on an hourly basis.
Not really clear what the pro rating means as I understand the setting to be an explicit limit that you pay for. If your limit is exceeded then the requests fail. I don't think there's an option to allow for payment on demand when the limit is exceeded but pro rating would do that.
The one minute is accurate and that is the current limit management.
The point of the pricing model is that your service should be making money before you reach any of the limits. If you have enough users to hit the limits and you aren't making money then you need to reconsider your business plan. As such you shouldn't need to upload at random times of day as your users should naturally spread out a bit.
Here is something that can help you understand Parse's users request per second.
Parse estimates that the average app's active user will issue 10 requests. Thus, if you had a million users on a particular day, and their traffic was evenly spread throughout the day, you could estimate your app would need about 10,000,000 total API requests, or about 120 requests per second. Every app is different, therefore Parse encourages you to measure how many requests your users send.
You can read more this question answered directly from Parse staff here on Parse/F&A link
Hope this helps
We are building a new application in parse and are trying to estimate our requests/second and optimize the application to limit it and keep it below the 30/second. Our app, still in development, makes various calls to parse. Some only use 1 requests, and a few as many as 5 requests. We have tested and verified this in the analytics/events/api requests tab.
However, when I go to the analytics/performance/total requests section, the requests/second rarely go above .2 and are often much lower. I assume this is because this is an average over a minute or more. So I have two questions:
1) does anyone know what the # represents on this total requests/second screen. Is it an average over a certain time period. If so, how much?
2) when parse denies the request due to rate limit, does it deny based on the actual per second, or is it based on an average over a certain time period?
Thanks!
I supposed you have your answer by now but just in case:
You're allowed 30reqs/sec on a free plan, but Parse actually counts it on a per minute basis, or 1800 requests per minute.
I'm building a pretty large app for a client that is going to aggregate feeds from various sources. My client estimates around 900 follow-able users will be in this system to start out, with more being added over time. He wants to update the feed data every 15 minutes, so we would need to update one user feed per second, assuming 900 feeds and a 15 minute TTL. As the requests take a few seconds to complete, we would then need to load balance across a few threads to tackle the queue asynchronously.
Should I be worried about quota errors or hitting any kind of limitations? If so, what are our options?
I've already read their help pages and documentation, but it's very vague; I need concrete numbers. It's not feasible to load test their API to figure out the limitation.
Version 3 of the YouTube Data API has concrete quota numbers listed in the Google API Console where you register for your API Key. You can use 10,000 units per day. Projects that had enabled the YouTube Data API before April 20, 2016, have a default quota of 50,000,000 per day.
You can read about what a unit is here:
https://developers.google.com/youtube/v3/getting-started#quota
A simple read operation that only retrieves the ID of each returned resource has a cost of approximately 1 unit.
A write operation has a cost of approximately 50 units.
A video upload has a cost of approximately 1600 units.
If you hit the limits, Google will stop returning results until your quota is reset. You can apply for more than 1,000,000 requests per day, but you will have to pay for those extra requests.
There is a calculator provided by YouTube to check your usage. It is a good tool to estimate your usage.
https://developers.google.com/youtube/v3/determine_quota_cost
If you need to make more requests than allotted, you can request a higher quota here: https://support.google.com/youtube/contact/yt_api_form