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Seo Master present to you:

We got a lot of feedback after releasing the Google Chart API in early December. By far the most questions were about the limit of 50,000 queries per user per day. Some of you who are webmasters of larger sites are afraid of overstepping this limit. We've heard your concerns, and have decided to drop that limit altogether.

However, should you expect to regularly cause more than 250,000 queries per day to the Google Chart API, we'd like you to let us know by mailing chart-api-notifications@google.com so that we can plan for the demand.

And with that said, from now on, if your site can't handle the Slashdot effect, it shouldn't be because of the Google Chart API. ;)

But why did we impose a query limit to start with? It was there to ensure that we could provide a reliable service for all legitimate users because we were able to lock out malicious users.

We work hard to provide reliable services, and even have a specific team of site reliability engineers (SRE) dedicated to keeping our services up and running (as well as fast). I cover the Chart API for SRE. A very important part of an SRE's work is capacity planning, because only a service with sufficient capacity can serve reliably and with low latency. For a new service, planning the capacity is naturally very hard, because there are a lot of unknown contributing variables. That's why we started with a quite conservative query limit. Now, that we've had the public API running for some time, we've collected enough experience to feel comfortable raising that limit without jeopardizing the service's reliability.

By the way, there's a lot more to what an SRE does. We also run, debug, optimize and troubleshoot very large scale distributed systems. If you're interested, come join Google SRE -- for instance the Zürich SRE team, where I work.2013, By: Seo Master
Seo Master present to you: Author Photo
By Doug Fritz, Creative Lab

Today we’re sharing a small open source project called Tailbone that lets developers read and write to the Google App Engine Datastore using JavaScript. We’re hoping that it makes App Engine a bit more accessible to developers who aren’t familiar with Python, Java or Go, or prefer not to use them.

I share an office with three creative programmers who work almost entirely in HTML5 and JavaScript. An important part of our work is writing server-side code for new projects that read or write data to to the App Engine Datastore or use Google accounts to store authenticated user-specific information. To make that process easier for my JavaScript-fluent colleagues, I created Tailbone to act as a RESTful API for an app’s Datastore.

tailbone tutorial screenshot

To get started, you still have to install App Engine’s SDK and Python, but after that you’re all set. We’ve written a detailed tutorial that guides you through the installation and an example app for creating an authenticated profile page with an editable name and photo.

It’s my hope that Tailbone makes App Engine a little bit less intimidating for people who don’t have much experience with server-side coding. I know there are a few in my office. If there are any others out there, this is for you.


Doug Fritz is a programmer with the Creative Lab’s Data Arts Team. He thinks large amounts of data taste slightly purple and strongly wishes the government used bugzilla.

Posted by Scott Knaster, Editor
2013, By: Seo Master
خلفيات وصور رائعة hd wallpapers

خلفيات وصور رائعة hd wallpapers
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