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IntroductionThere is huge amount of documentation about CouchDB on the web. This article is not a complete guide to CouchDB. It’s just a very brief description of CouchDB with examples which could be useful if you decide to try cluster building.
A little about CouchDB:
Basically, CouchDB is a schema-less document oriented database with a lot of features:
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The monitoring is easy thanks to our Monitis Monitor Manager (M3), which is a framework to easily create and gather data for custom types of system and application monitors. We’ have much covered how it works with different platforms and solutions previously and today we would like to introduce you how it works with Riak. You can learn about what Riak key metrics to use for monitoring it.
riak_monitor.xml is a template for Monitis Monitor Manager.
It allows you to retrieve some statistical data from Riak via REST API
To use it, you have to install the Monitis Monitor Manager (M3) according to its installation rules.
In a few steps, it can be done like this:
Installation from GITHUB
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Today I want to share with you some ideas about Web Oriented Storage System (WOSS) monitoring on databases and will use Riak as an example. I won’t be discussing here what’s meant by ”web oriented” or “storage system”, I am assuming that you are already familiar with these concepts. There are several WOSS (Web Oriented Storage Systems), but today I will only deal with Riak.
So, what is Riak?
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HBase is a distributed, NoSQL, open-source database, initially conceived as an open-source alternative to Google’s proprietary BigTable. Originally, HBase was part of the Hadoop project, but was eventually spun off as a subproject. Given this legacy, it is not surprising that most often HBase is deployed on top of a Hadoop cluster (it used HDFS as its underlying storage), however a case study suggests that it can run on top of Amazon Elastic Block Store (EBS) as well. These days HBase is used by companies such as Adobe, Facebook, Twitter and Yahoo – and many others to process large amounts of data in real time, since it is ideally placed to store the input and/or the output of MapReduce jobs.
Like most products written in Java, both HBase and Hadoop contain built-in JMX instrumentation, which theoretically allows us to use any JMX client to view their performance metrics. Naturally, Monitis has just what the doctor ordered – a generic JMX agent that can be configured to monitor any JMX-enabled process through a point-and-click web interface.
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Basho Riak is a document oriented open-source database system. It is shaped by the Amazon Dynamo document and provides a decentralized key-value store that supports standard Get, Put and Delete operations. Riak is a distributed, highly scalable and fault-tolerant store with map/reduce, HTTP, JSON and REST queries making it ideal for web apps. And, of course, Riak is NoSQL.
To understand why Riak is so powerful we need to know some theory. Let’s take a look at Amazon Dynamo. In Amazon Dynamo documentation we have 3 terms that describe distributed store behavior: N, R and W. N is the number of replicas of each value in store. R is the number of replicas needed for read operations. W is the number of replicas needed for write operations. Riak’s goal is to transmit N, R and W logic to an application. That’s why Riak can adapt application requirements.
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Monitis GFI is a specialist provider of web and Cloud monitoring services that include website monitoring, site load testing, transaction monitoring, application and database monitoring, Cloud resource monitoring, and server and internal network monitoring within one easy-to-use dashboard. Over 100,000 users worldwide have chosen Monitis as their provider of choice to increase uptime and user experience of their services and products. What makes Monitis' solutions different is that they are fast to deploy, feature-rich in technology and provide a comprehensive single-pane view of on-premise and off-premise infrastructure and applications.
