Category: Success Stories

Its always exciting to find out that an app that has changed how I consume news and blog content on my mobile devices is using AWS to power some of their most engaging features. Such is the case with Pulse, a visual news reading app for iPhone, iPad and Android. Pulse uses Amazon Elastic MapReduce, our hosted Hadoop product, to analyze data from over 11 million users and to deliver the best news stories from a variety of different content publishers. Born out of a Stanford launchpad class and awarded for its elegant design by Apple at WWDC 2011, the Pulse app blends a strong high-tech backend with great visual appeal to conquer the eyes of mobile news readers everywhere.

Pulse backend team members from left to right: Simon, Lili, Greg, Leonard

The December 2011 update included a new feature called Smart Dock, which uses Hadoop and a tool called mrjob, developed by Yelp, to analyze users reading preferences and continuously recommend other articles or sources they might enjoy.

To understand the level of engineering that goes behind such rich customer features, I spoke to Greg Bayer, Backend Engineering Lead at Pulse:

How big is the big data that Pulse analyzes every day? 

Our application relies on accurately analyzing client event logs (as opposed to web logs) to extract trends and enable other rich features for our users. To give you a sense of the scale at which we run these analyses, we literally go through millions of events per hour, which translates to as many as 250+ Amazon Elastic MapReduce nodes on any given day. Since we are dealing with event logs, generated by our users from the various platforms on which they access our app (Android, iPhone, iPad, etc.), our logs grow in proportion to our user base. For example, the recent influx of new users from Kindle Fire (Android) means we now have a lot more logs coming in from those devices.  Also, since the logs are big, weve found that it is very efficient to write them to disk as fast as possible – directly from devices to Amazon EC2 (see my tandem article on the logging architecture we use and the graph below, which highlights some of our numbers).

For more Pulse numbers, checkout the full infographic.

Powering Rich Features for Our Users

Much of our backend is built on industry standard systems such as Hadoop. The innovation happens in how we leverage these systems to create value. For us, its all about how we can make the app more fun to use and provide rich features that our users will love. For techies, you can read about many of these features in the backend section of the Pulse engineering blog and learn about all the details.

The Right Choice for Big Data

I joined the team here pretty early on as the first backend engineer. I came to Pulse after working at Sandia National Labs, where I built and managed an in-house 70-node Hadoop cluster. This was an investment of over $100,000, operational support, and over 6 months time to get it fully fine-tuned. Needless to say, I was fully aware of the cost and resources needed to run something at the scale that Pulse would need to accommodate.

AWS was and still is the only feasible solution for us. I love the flexibility to quickly stand up a cluster of hundreds of nodes and the added flexibility of choosing the pricing scheme thats needed for a job. If I need a job done faster, I can always spin up a very large cluster and get results in minutes, or take advantage of smaller instances and the spot marketplace for Amazon Elastic MapReduce if Im looking to complete a job thats not time-sensitive. Since an Amazon Elastic MapReduce cluster can simply be turned off when we are done, the cost to run big queries is usually quite reasonable. Consider a cluster of 100 m1.large machines: a set of queries that takes 45 minutes to run on this cluster could cost us approximately $11 – $34 (depending on whether we bid on spot instances or use regular on-demand instances).

Lessons Learned (the bold fomatting below is our doing )

It is important to consider the trade-offs and choose the right tool for the job. In our experience, AWS provides an exceptional capability to build systems as close to the metal as you like, while still avoiding the burden and inelasticity of owning your own hardware. It also provides some useful abstraction layers and services above the machine level.

By allowing virtual machines (Amazon EC2 instances) to be provisioned quickly and inexpensively, a small engineering team can stay more focused on the development of key product features. Since stopping and starting these instances is painless, its easy to quickly adapt to changing engineering or needs perhaps scaling up to support 10x more users or shutting down a feature after pivoting a business model.

AWS also provides many other useful services that help save engineering time. Many standard systems, such as load balancers or Hadoop clusters, that normally require significant time and specialized knowledge to deploy, can be deployed automatically on Amazon EC2 for almost no setup or maintenance cost.

Simple, but powerful services like Amazon S3 and the newly released Amazon DynamoDB make building complex features on AWS even easier. Because bandwidth is fast and free between all AWS services, plugging together several of these services is a great way to bootstrap a scalable infrastructure.

Thanks for your time, Greg & best of luck to the Pulse team! 

-rodica

Related: Pulse Engineering – Scaling to 10M on AWS

Matt Gerber,CEO of managed service provider IT-Lifeline spent some time talking about AWS on camera. Here’s the full video:

Matt enumerates the three main benefits that AWS provides him: cost, elasticity, and time to market (sometimes saving 6 months to a year for a new offering). He also talks about security and compliance, and about working with the AWS team. Matt notes that traditional disaster recovery (DR) is a capital-intensive business, and that they’ll be able to pass savings of 25-50% on to their customers. He says that the carrying cost for disaster recovery is effectively reduced to zero — “It doesn’t cost us anything to know that that AWS infrastructure is there for when our customers need it for a disaster.”

We’ve pulled together some additional DR and storage resources on our new Backup and Storage page.

— Jeff;

Over the summer months, we’d like to share a few stories from startups around the world: what are they working on and how they are using the cloud to get things done. Today, we’re profiling Filter Squad from Perth, Australia!

In one of Werner Vogels‘ many travels through Australia this summer, he tweeted about a lean startup he had met, Filter Squad. Lean startups, not to be confused with bootstrapped startups, are built by adapting agile software development methodologies to business. Some of the concepts include building a minimum viable product, testing business assumptions with real market data, measuring results, and then quickly iterating or pivoting depending on what that data shows you. The concept of a “lean startup” was coined by entrepreneur & author Eric Ries. 

I reached out and spoke to Stuart Hall, CTO of Filter Squad, and creator of, among others, the Discovr Apps and Discovr Music for the iPhone & iPad.

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8 Days Left to Enter Your Startup in the AWS Start-up Challenge!
This year’s AWS Start-up Challenge is a worldwide competition with prizes at all levels, including up to $100,000 in cash, AWS credits, and more for the grand prize winner. Learn more and enter today!

You can also follow @AWSStartups on Twitter for startup-related updates.

 -rodica

In honor of today’s Facebook Developer Conference, I’d like to recognize the success of our existing Facebook app developers and invite even more developers to kick-start their next Facebook app project with Amazon Web Services.

Quick Numbers
We crunched some numbers and found out that 70% of the 50 most popular Facebook apps leverage one or more AWS services. Many of their developers rely on AWS to provide them with compute, network, storage, database and messaging services on a pay-as-you-go basis. In addition to Zyngas popular FarmVille and CafeWorld, or games from Playfish and Wooga, many of the most exciting and popular Facebook apps are also running on AWS.

Here are a few examples:

RootMusic‘s BandPage app (currently the #1 Music App on Facebook, and #8 overall app on Facebook) helps bands and musicians build fan pages that will attract and hold the interest of an audience. RootMusic enables artists to tap into the passion their fans feel for their art and keep them engaged with an interactive experience. More than 250,000 bands of all shapes and sizes, from Rihanna and Arctic Monkeys, to bands you haven’t heard of yet but may soon discover, have already made RootMusics BandPage their central online space for connecting with their fans. Artists use it to share music, release special edition songs/albums here, share photos, and list events/shows. BandPage now supports 30 million monthly active users from all over the world. Behind all the capabilities that ignite BandPages music fan communities lies a well-thought out, highly-distributed and highly-scalable backend, powered by Amazon Web Services:

“In 20 seconds, we can double our server capacity. In a high-growth environment like ours, it’s very important for us to trust that we have the best support to give to the music community around the world. Five years ago, we would have crashed and been down without knowing when we would be back. Now, because of Amazons continued innovation, we can provide the best technology and scale to serve music communities needs around the world, Christopher Tholen, RootMusic CTO.

Funzio‘s Crime City is #7 in the top 10 Facebook apps, and its the highest rated Facebook game to reach 1 million daily users with an average user rating of 4.9 out of 5. Crime City currently has 5.5 million monthly active users, with 10 million monthly active users at its peak. The iPhone version was recently listed among the top 5 games in the Apple Appstore and #1 free game in 11 countries and counting. Crime City sports modern, 3D-like graphics that look great on both Facebook and iPhone, and has a collection of hundreds of virtual items that players can collect.

Powering this incredibly rich user experience across multiple platforms is their business acumen in promoting the app, as well as a strong backend that leverages many AWS products to serve their viral and highly active user base. Funzio uses Amazon EC2 to quickly scale up and down based on demand, Amazon RDS to store game and current state information. They use Amazon CloudFront to optimize the delivery to a global, widely-distributed audience and to meet Facebook’s SSL certificate requirements.

“At Funzio, we use AWS exclusively to host the infrastructure for our games. When developing social games, you need to be ready for that traffic burst for a hit game in a moment’s notice. AWS provides us with the flexibility to quickly and efficiently scale our applications at all layers, from increasing database capacity in RDS, to adding more application or caching servers within minutes in EC2. Amazon’s cloud services allow us to focus our efforts on developing quality games and not on worrying about managing our technology operations. – Ram Gudavalli, Funzio CTO.

50Cubes, the creator of Mall World, is a startup that has developed one of the most highly-regarded and longer-running successful female focused social game on Facebook. With over 5 million monthly active users, Mall World has a track record of being not only one of the first but also the top game of its kind for the past 1.5 years and continues to entice users world-wide.

50Cubes powers Mall World and other games they developed with a suite of AWS products. Out of these, they value the Amazon Auto-scaling and EBS features the most these products helps them effortlessly scale up and down their exclusive use of Amazon EC2 instances with user demand. Their database clusters are a mix of MySQL and other key value storage databases, all hosted and managed by the team on Amazon EC2 using EBS for Cloud Storage.

“One thing that impresses me the most about AWS services is that they have rapidly iterated and improved their products and services over the past year and half, executing almost like a startup of our scale.” – Fred Jin, 50cubes CTO.

Get Started: Your Facebook App, Powered by AWS
Doug Purdy, Director of Developer Relations at Facebook, said:

AWS is great for Facebook developers you can start small, test and prove your ideas. As your app grows, you can easily scale up your resources to keep your users engaged and connected. AWS allows developers to build highly-available, highly-scalable, cost-efficient apps that provide the type of rich and responsive user experiences that our global audience has grown to expect.

To make it as easy as possible for you to get started, we’ve updated our Building Facebook Apps on AWS page. We have also improved and refreshed our Facebook App AMI. The new AMI uses AWS CloudFormation to install the latest versions of the Facebook PHP SDK and the AWS SDK for PHP at startup time. If you want to learn more about developing AWS applications in PHP, feel free to check out the free chapters of my AWS programming book (or buy a complete copy).

— Jeff;

Over the summer months, we’d like to share a few stories from startups around the world: what are they working on and how they are using the cloud to get things done. Today Im speaking to Jonathan and Thomas, two of the creators of Scalarium, from Berlin, Germany! 

R: Hi guys, could you briefly describe Scalarium and the background of your team?

• Setup is used to update a base image and install everything you need on the fly as soon as the server comes into existence.
• Configure is triggered by any change in the cluster – new servers coming or old ones going.
• Deploy executes scripts that should run during the deployment of an application on the servers. You can hook into the deployment with before_migrate or any other hook you know from Capistrano.
• Undeploy – this is triggered if you want to remove an application.
• Shutdown is triggered if you gracefully stop a server. You can copy stuff around or inform other servers about the absence of the server in advance.

You would need to boot an AMI (Amazon Machine Image), log in to the machine, install updates and dependencies, configure all services, cron jobs and so on and last but not least deploy your application. But you are not done yet. You also need to log in to the database server and grant access to the new app server by adding the IP to your ACL. After that you have to log in to your load balancer and add the app server to the load cycle.

As soon as a new server is requested, we ask Amazon for it. Once the server finished booting it downloads the Scalarium agent and a custom certificate, installs the agent and connects back to Scalarium in an encrypted and signed way. We check what kind of server you instructed it to be and execute the appropriate Chef recipes. Chef is an open-source system integration framework, similar to Puppet or CFEngine. Check out our example cookbooks on github to get a feeling about how easy it is to use Chef. You will find the main Scalarium cookbooks there too.

R: How do you run on AWS yourself?
Thomas:

Below is a simplified visualization of our own architecture. We use two main databases for Scalarium. One is CouchDB, used to store information like the cluster configurations, server descriptions and current state, applications, deployment definitions. The other one is Redis, used for accounting, events, monitoring and metering data.

We chose CouchDB for high availability, easy replication, clustering, robustness, and a short recovery time. Redis is awesome for the very dynamic, fast growing, and non critical data we have.

Scalarium itself a Rails app, the Scalarium API is a Sinatra app. Workers are based on RabbitMQ/Nanite.

Our setup spans multiple regions and availability zones to guarantee a high uptime. CouchDBs awesome replication features are used to have a master/master replication across regions. Redis uses a master/slave setup for data replication. (click image below to enlarge)

R: Why did you decide to use AWS?
Thomas:

Thats simple. We use AWS because its the only big, global distributed and reliable source for IaaS out there. Amazon kicks some serious ass and develops tons of new features and services. Last but not least we eat our own dog food – Scalarium runs on Amazon and is managed with Scalarium.

By using AWS and Scalarium we can grow in no time to handle as many customers we like, spin up staging environments, deploy fast and often and do all that completely automated. All fail over, scaling, backup tasks, monitoring and so on is automated. You will love doing that. You can concentrate on developing your app without hassling with data centers and servers.

Amazon enables us to have clients ranging from start ups with one server, over SaaS offerings and agencies with a couple of servers, to the worlds biggest social game providers like wooga or Plinga with an incredible number of servers running their games all over the globe.

If you like you can see a rather old video in which Jonathan explains the complete process to create a Rails cluster, add a Rails app and deploy it. Or even better, sign up and try Scalarium for yourself.

R: Any last words?
Thomas:

 Yes. Take part in the Global AWS Start-Up Challenge! It is a short application form. You can win cash, AWS credits and get a lot of visibility. And if thats not enough we give every semi finalist half a year free Scalarium on top.

So apply for the Start-Up Challenge now!

 -rodica

 

Over the summer months, we’d like to share a few stories from startups around the world: what are they working on and how they are using the cloud to get things done. Today, we’re profiling ShowNearby, from Singapore!

ShowNearby is a leading location-based service in Singapore and an early adopter of the Android platform. Unlike many mobile apps out there, ShowNearby started with deployment on Android and then moved on to the iPhone by mid 2010 and Blackberry by fall of 2010. Today, the ShowNearby flagship app is available on Android, iPhone and Blackberry and reports approximately 100 Million mobile searches conducted across all its platforms.

Over the summer months, we’d like to share a few stories from startups around the world: what are they working on and how they are using the cloud to get things done. Today, we’re profiling Classle, from Chennai, India!

I recently read Mark Susters blog on Avoiding Monoculture – which is why Im happy to share with you what Ive learned about Classle, a  startup from India, focused on solving education problems for areas of the world that experience serious resource constraints. Classle has the big goal of changing the world around them by encouraging students and experts to share knowledge and expertise, and using the AWS cloud to facilitate this exchange. 

I reached out to Vaidya Nathan, Founder and CEO of Classle:

Classle is a Social Learning infrastructure company with specific focus on Education, Learning and Knowledge communities. Using the main Classle product, Cloud Campus platform, Classle creates and manages private and public social learning environments and offers services based on it.

We are using AWS since our inception in early 2009. Our first steps involved two small Amazon EC2 instances and Amazon EBS to store our database. Over the years, our use has expanded to match our business growth. Our selection criteria covered tactical as well as strategic points. From a tactical perspective, we wanted a quicker time for provisioning, which AWS on-demand instances enabled, and the option to secure our resource needs through Reserved Instances.

At a strategic level, we wanted to provide the best experience for our customers and it was key to build Classle on top of services, products, and infrastructure designed for growth and scale. To date, we have established relationships with over 30 educational organizations and that list is constantly growing. Thanks to AWS, we are effectively competing with some large and strong players in the e-learning space.

Sharing the AWS Lessons:

We are a small, LAMP stack team and we started using AWS in 2009. Currently, the products we are using are below. For reference, we are also happy to share our Classle architecture diagram, which is included in our case study with AWS.

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Enter Your Startup in the AWS Start-up Challenge!
This year’s AWS Start-up Challenge is a worldwide competition with prizes at all levels, including up to $100,000 in cash, AWS credits, and more for the grand prize winner. Learn more and enter today!

You can also follow @AWSStartups on Twitter for updates.

 -rodica

Over the summer months, we’d like to share a few stories from startups around the world: what are they working on and how they are using the cloud to get things done. Today, we’re profiling one of last year’s finalists from the AWS Start-up Challenge – TellApart, from Burlingame, California!

TellAparts application stood out to all AWS reviewers as a very well written entry to the AWS Start-up Challenge – pun intended, it was indeed easy from the beginning to tell it apart from the thousands that we reviewed.  As we met the team at our final event and got to know them more over the past year, we grew to be as excited as they are about the future of advertising and real-time ad bidding systems on AWS. We took some time to catch up with Josh McFarland, CEO of TellApart:

About TellApart

TellApart helps online retailers identify (or tell apart) their best customers and prospects. They do so by employing a suite of marketing tools – a customer data platform, predictive customer analytics, and a next-generation display ad retargeting application. TellApart believes it is the first company to bring all of these components together in a cloud-based platform. Theyve also introduced a fresh, innovative business model to the markettheir customers, typically online retailers, pay TellApart only when shoppers click through on TellApart-served display ads and actually make a purchase.

Real-Time Ad Bidding System, At Scale

TellAparts vision revolves around helping our e-commerce clients tell apart their highest value shoppers from the rest. We assess each of our clients customers and then use our predictions to place personalized display ads in front of the best visitors to drive new sales.

We do this in real time… and thats not hyperbole; we must respond to bid requests from the Google/DoubleClick Ad Exchange in under 120ms. And we handle more than 10,000 of these requests per second today, making TellApart one of the top five companies in this space. These capabilities require big data and serious compute power — something that, as an ex-Google founding & early engineering team, were used to having on demand. AWS makes this possible at scale, as we outlined in our recent case study.

No Technical Debt Burden

Some of you might say that data warehousing, predictive analytics, and customized marketing solutions are not new concepts at all – and you would be right. Many organizations provide these services  today – and many of them have extensive data-centers that support those computational needs. What makes TellApart interesting is that their technology choices and cloud-based implementation make their business decision process happen in a much more agile and easy way, while keeping costs low. 

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Enter Your Startup in the AWS Start-up Challenge!
This year’s AWS Start-up Challenge is a worldwide competition with prizes at all levels, including up to $100,000 in cash, AWS credits, and more for the grand prize winner. Learn more and enter today!

You can also follow @AWSStartups on Twitter for updates.

 -rodica

Over the summer months, we’d like to share a few stories from startups around the world: what are they working on and how they are using the cloud to get things done. Today, we’re profiling Appscend, from Bucharest, Romania!

Appscend is a sign that catching the “startup bug” and being able to run a high-tech company is possible waay outside Silicon Valley, in Romania, where startups don’t have the benefit of tapping into a support system and extensive mentorship. I spoke to Gabi Dobocan, Appscend Cofounder, who was quick to tell me that his small team enjoys the challenge and is eager to work at least 10 times as hard as their counterparts in other countries in order to compete. To date, they have received support from local angel investor and mentor, Peter Barta, and from an extended entrepreneur network from Western Europe. We wish Gabi and his team the best of luck

About Appscend

Appscend is “ WordPress for mobile” software. Since day one, the vision for Appscend was to create a robust, highly customizable product that can produce feature-rich mobile apps in record time. Today, a few months after launch, Appscend has enlisted over 400 registered users working on about 300 mobile apps. Among these customers, Appscend works with Domo, one of the largest local retailers, the Romanian National Television, and a couple of important local publishers. Appscend currently supports iOS apps and their development team is working on releasing an Android version in the next few months.

“100% AWSomeness”

Appscend offers a series of products geared at enabling our customers to build rich mobile apps apps using an intuitive, customizable interface. Our target audience is made up of digital publishers and agencies, so our products need to be easy to use and offer a wide array of functionality: we offer a mobile CMS, accessible for anyone that doesn’t have a way to host their content elsewhere and have made it easy for users to import and export content. We help customers who build their mobile apps through Appscend track social activity around their content and we also offer them the ability to implement in-app purchases. In addition, to help our customers further monetize their mobile apps, we have enabled them to display ads inside their apps through an ad management server.

To build all these products, we use most of the cloud web services provided by Amazon Web Services and are delighted to call our implementation 100% AWSomeness.

• Amazon S3 buckets are used for storing all the multimedia content used in the apps, optimized for mobile consumption.
• The S3 buckets are connected to a Amazon CloudFront distribution to insure minimum latency wherever our clients’ end-users are located.
• Our customer dashboard, as well as all background processes, are hosted on Amazon EC2 instances.
• The Amazon EC2 instances are placed into Elastic Load Balancers, so that we can enable auto-scaling through Amazon CloudWatch when needed.
• Our ad server is based on Google Adwhirl and is hosted on an Amazon EC2 instance.
• The software connects to Amazon SimpleDB domains that hold information regarding to the apps and statistics.
• Everything is powered by a MySQL 5 Enterprise server hosted on an Amazon RDS instance. We find it a good solution because we can scale very easily and the performance provided is excellent.

Finally, we keep in touch with our clients by sending email messages through Amazon SES, and we’ve also configured email alerts for our operators using the same service. In the future, we will look at implementing AWS CloudFormation in order to be able to provision resources as quickly as possible.

On Building a Startup in Romania and the Mobile Market 

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Enter the AWS Start-up Challenge!
Join Appscend and many other AWS startups who are entering this year’s worldwide AWS Start-up Challenge! You can also follow @AWSStartups on Twitter for updates.

 -rodica

Over the summer months, we’d like to share a few stories from startups around the world: what are they working on and how they are using the cloud to get things done. Today, we’re profiling Yottaa from Cambridge, MA!

I first met Coach Wei, CEO and founder of Yottaa, last year, as a finalist in the AWS Start-up Challenge.  With a name like Coach and a deep passion for speed and web performance, he sounded like he was the perfect guy to run a startup like Yottaa. 

What is Yottaa?
Yottaa prides itself in bringing fast web performance to any website. The start-up provides software-as-a-service tools for website performance monitoring (free) and automated performance optimization (paid).

Anybody can visit www.yottaa.com, enter a URL and learn about its performance and user experience over time, and across multiple geographies. The Yottaa free monitoring tool, Yottaa Insight, also enables users to link their Google Analytics account to provide deeper insight into the correlation between site performance and business objectives. Their paid product, Yottaa Optimizer, is a web performance optimization service that aims to double the speed of your website within a few clicks, without code changes, software installs or hardware purchases. 

Q&A with Coach Wei:

Creating a Free Product Offering

AWS is a big reason that we are able to provide Yottaa Insight, a premium web performance monitoring service, for free. We run hundreds of machines at any single moment, but the system dynamically scales up and down at many different geographic locations in response to the workload demands.

Growing and Solving the Data Management Problem with AWS 

The amount of performance monitoring data we collect for our users have grown over many terabytes. How to manage the large amount of data is a common challenge for startups with data-centric web applications.  Like most web startups, we started by storing all the data in our database initially. It quickly outgrew what a database can handle. Luckily we have quite a few options with AWS. One of the recent actions we took is to move most of the historical data onto Amazon S3 and only keep the recent data in our database cluster. This design essentially makes our data storage almost infinitely scalable. Another action that we took is to implement data replication to another geographic location, which gives us redundancy and disaster recovery protections. 

AWS Start-up Challenge Impact on Yottaa: Confidence & Validation

In our particular situation, the biggest difference AWS contest made for us is “confidence” or “bragging rights” : it gives us a certain level of confidence that we are onto something.  Yottaa is taking a new approach to solve some difficult problems by leveraging the AWS cloud.  
A large part of the unknowns came from whether it was feasible to do wire-speed optimization of web pages, both technically and financially. To our knowledge, no one had solved those issues before.  After the contest (and in particular, after talking to the AWS Startup Contest judges, the folks who helped created the entire cloud computing movement), we can confidently say that we were not crazy to attempt this.

Sharing the Wisdom with other Asia-Pacific Start-ups:

SaaS and Cloud start-ups are blazing new trails with innovative approaches, architectures, and delivery models.  Amazon Web Services provides a fantastic foundation to build on.  Our advice for start-ups is to embrace the cloud and design your applications architecture to leverage multiple AWS services. For example, Yottaa architected the system to leverage Spot Instances and multiple AWS regions and Availability Zones.  Decisions like these create both a robust platform and the ability to scale infrastructure and costs as your startup begins to get traction. 

Another quick thought is the “audacity of dreaming”.  Dream big.  Cloud provides a cost-effective way to figure out the validity and viability of your dream..

The AWS Startup Challenge
We’re getting ready to launch this year’s edition of our own annual contest, the AWS Startup Challenge. You can sign up to get notified when we launch it, or you can follow @AWSStartups on Twitter.