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Azure SQL Database Monitoring and Management challenges solved by using Serverless360. Retrieve huge records fast and in a reliable way using Serverless360.

HadoopDB is a hybrid of parallel database and MapReduce technologies. It approaches parallel databases in performance and efficiency, yet still yields the scalability, fault tolerance, and flexibility of MapReduce systems.

Aster nCluster is an MPP database (a relational DBMS) that harnesses the power of a large cluster of commodity hardware nodes

SQL-based relational database management systems (RDBMS) are beginning to be challenged by a new movement of NoSQL databases. Among those NoSQL databases is the open source CouchDB

Private Line is designed to transmit data in a digital format from end-to-end, ensuring a high-quality, dependable, and protected signal. Our superior T1 Private Line Services include DS3 Private Line Services, Gigabit Ethernet Private Line Services, Opteman Private Line Services and Gigaman Private Line Services. Private Lines can be used for Video conferencing, LAN connectivity, Network consolidation of voice/data traffic, Remote database backup, collocation centers for data storage, e-commerce applications, and web services.

In a web-driven world, datasets are larger than ever before - with "web scale" becoming the term of choice to describe the ultimate size of problems.

Offering a range of managed Cloud-based services as cloud servers, hosted backup, data center services, we're able to help your business grow without expensive capital investments and upkeep costs.

Fastblue grows its ever-increasing Cloud presence with the addition of Cloud Network Connect, a product that leverages a blend of alternative carriers to provide redundant access into the public or private Cloud. Check out our latest press release here : http://goo.gl/179tS3

The Data Center, Cloud computing has become a central aspect for IT divisions in SMB and Enterprise companies alike. In doing so it has increased the amount of information that is being passed across the network, from one location to another. Fastblue recognizes the necessity for always on, always-accessible data and networking in today's digital world. Offering a range of managed Cloud-based services we're able to help your business grow without expensive capital investments and upkeep costs.

serve very large indexes as index shards on many servers

"We've had issues with scaling MySQL in a multi-tenant environment like ours, so we've been looking at other database options and have been looking at Drizzle for over a year," Jonathan Bryce, co-founder of the Rackspace Cloud, told InternetNews.com.

Some OpenSocial apps can be written entirely with client-side JavaScript and HTML, leveraging the container to serve the page and store application data. In this case, the app can scale effortlessly because the only request hitting your server is for the gadget specification which is typically cached by the container anyway. However, there are lots of reasons to consider using your own server: * Allows you to write code in the programing language of your choice. * Puts you in control of how much application data you can store. * Lets you combine data from users on multiple social networks. * Enables interaction with the OpenSocial REST API. Setting up an OpenSocial app that uses a third party server is fairly simple. There are a few gotchas and caveats, but the real issues come up when your app becomes successful - serving millions of users and sending thousands of requests per second. Apps can grow especially fast on social networks, so before you launch your next social app, you should think about how to scale up quickly if your app takes off. Unfortunately, scaling is a complex problem that's hard to solve quickly and expensive to implement. Luckily, there are several companies that provide cloud computing resources-places you can store data or run processes on virtual machines. These computing solutions manage huge infrastructures so you can focus on your applications and let the "cloud" handle all the requests and data at scale. This tutorial focuses on a simple photo-sharing app that uses a third-party server to host photos and associated metadata. If this app is going to host millions of images and support many requests per second, we won't be able to run it on a single dedicated host. We'll break the app down and analyze the interactions between the OpenSocial App and the back end server. Then we'll implement the app in the cloud, first using Google App Engine, then leveraging Amazon's S3 data storage service. Finally, we'll look at s