Content tagged with: mongodb
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.
This video provides a demo on how to install and use on the OpenShift a little application that uses MongoDB and the Python Bottle framework to provide a simpler Twitter-like service. OpenShift is Red Hat Platform as a Service (PaaS) solution that allows to host Java, Perl, PHP, Python and Ruby applications.
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.
In recent years, non-relational DBMSs have reemerged with proponents’ claiming advantages in scalability and simplicity. Many of these DBMSs now exist targeted towards a variety of usage scenarios. They are popularly referred to as NoSQL databases. This article looks at two popular NoSQL databases – Redis and MongoDB – and also Mongoose, a popular API that abstracts access to MongoDB.
Running Mongodb in the cloud can be challenging. This video gives an overview of a 1.5 year+ experience of running mongodb on amazon EC2 and explains where the project got burnt and where life treated us well.
In this article, based on chapter 4 of MongoDB in Action, author Kyle Banker explains how MongoDB schema differs from an equivalent RDBMS schema, and how common relationships between entities, such as one-to-many and many-to-many, are replicated in MongoDB.
This article explores some of the major players in the NoSQL world. As many of these databases are working on Cloud infrastructure, this overview of the MongoDB, CouchDB and RavenDB document databases is interesting for cloud software developers.
In this blog post, Emiliano Lesende shows us how to build a Mule iON application that does continuous integration of Maven-based projects. The application connect to a database hosted at MongoHQ that contains the list of applications to continuously integrate, then it connects to their GitHub repositories, perform a clone of them locally and then invoke Maven to actually build them.
This blog post provides a realistic tutorial on how to use MongoDB, Redis, Node.js and Spring MVC in a single Cloud Foundry Application.