Content tagged with: nosql
This video provides a retrospective on running MongoDB on Windows Azure for the past 2 years.
MongoDB is an open source NoSQL database. This article from Lynn Langit introduces both MongoDB and Windows Azure, and then explore the technical details and benefits of deploying MongoDB to the Microsoft cloud.
MetricsHub is a monitoring and scalability service for public clouds, allowing companies to continuously gather data from their systems and auto-scale their deployments to optimize service costs. Taking advantage of Cassandra rapid ingestion rates, reliable replication model, and easiness of deployment, Metrics Hub can handle billions of datapoints per day. During this session, you will learn about the architecture supporting this service, which combines the power of the PaaS + IaaS on the Windows Azure platform.
Netflix used to be a traditional Datacenter based architecture using a few large Oracle database backends. Now it is one of the largest cloud based architectures, with master copies of all data living in Cassandra.
Netflix published a Cassandra scalability benchmark in 2011 that showed linear scalability as the number of nodes in the cluster was increased from 48 to 288 and over a million triple replicated writes per second. This talk will summarize a range of new benchmarks that take advantage of more powerful EC2 instances and improvements in Cassandra itself.
This article presents how to use Couchbase in a Windows Azure context. It covers the following features: create a Virtual Network with two subnets for the Couchbase cluster and ASP.NET web application; create Virtual Machine images for the Couchbase servers; install and configure the Couchbase cluster; deploy the TapMap Couchbase sample application to Windows Azure; configure admin access to the Couchbase cluster.
The Microsoft Azure platform offers SQL Azure to make migration easier, but it also offers a set of highly scalable storage services that take a different approach to data storage: Tables, Blobs and Queues. They pose a new set of challenges to application designers since they are offer no transactional or relational consistency. In this session we will take a look at some practical application design considerations for working with these storage technologies.
Clouds are an interesting deployment platform, but managing state in dynamically scalable environments is not an easy task. There are many different NoSQL solutions with strong differences in performance, capabilities, reliability, isolation and ease of use. This video presents briefly the different NoSQL solutions and shows where Hibernate OGM fits into the picture.
With the right indexes in place, MongoDB can use its hardware efficiently and serve your application’s queries quickly. In this article, based on chapter 7 of MongoDB in Action, author Kyle Banker talks about refining and administering indexes. You will learn how to create, build and backup MongoDB indexes.
The Engine Yard Data Team shares in this blog post its the best practices for MongoDB. The team had assisted several customers with custom MongoDB environments and discovered during this process a variety of potentially problematic settings.