Today: October 26, 2021 2:29 am
A collection of Software and Cloud patterns with a focus on the Enterprise

Tag: database


External Services in CloudFoundry

CloudFoundry, Stackato and Helion Development Platform accommodate (and encourage) external services for persistent application needs. The types of services include relational databases, like MySQL or PostgreSQL, NoSQL datastores, like MongoDB, messaging services like RabbitMQ and even cache technologies like Redis and Memcached. In each case, connection details, such as a URL, PORT and credentials, are maintained by the cloud controller and injected into the environment of new application instances. Injection It’s important to understand that regardless of how the cloud controller receives details about the service, the process of getting those details to......

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Security in MongoDB is relatively young in terms of features and granularity. Interestingly, they indicate that a typical use case would be to use Mongo on a trusted network “much like how one would use, say, memcached.” MongoDB does NOT run in secure mode by default. As it is, the features that are available are standard, proven and probably sufficient for most use cases. Here’s a quick summary of pros and cons. Pros Nonce-based digest for authentication Security applies across replica set nodes and shard members Cons Few recent replies on security wiki......

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MongoDB implements a form of replication they call replica sets. Referring to a repica set instead of just calling it replication is a helpful distinction that becomes more obviously useful when you are introduced to sharding in MongoDB since each shard should be comprised of a set of replicas unique to that shard, but we’ll get to that later. For now, I want to show you how easy it is to setup and use replica sets. The setup and initial ‘recovery’ of data to all replicas in the set is quite simple. In......

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MongoDB is a database. However, unlike conventional relational databases that are based on well defined schema and use SQL as the primary interface to manage the data, MongoDB instead uses document based storage. The storage uses a format known as BSON, which is a modified form of JSON. This makes the stored documents very flexible and lightweight. It also makes it easy to adjust what is contained in any document without any significant impact to the other documents in a collection (a collection in MongoDB is like a table in a relational database).......

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I put this presentation together for a local web developer meetup. The topic was MongoDB. MongoDB is a database, but unlike traditional relational databases which store data in well defined tables (schema), MongoDB stores data in JSON like documents (BSON). This provides a great deal of flexibility. After you get through this presentation, go have a look at my hands on introduction to MongoDB and my walk through of MongoDB backups using Replica Sets. Mongodb View more presentations from dwatrous....

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