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You're reading from  Mastering DynamoDB

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Published inAug 2014
PublisherPackt
ISBN-139781783551958
Edition1st Edition
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Tanmay Deshpande
Tanmay Deshpande
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Tanmay Deshpande

Tanmay Deshpande is a Hadoop and big data evangelist. He currently works with Schlumberger as a Big Data Architect in Pune, India. He has interest in a wide range of technologies, such as Hadoop, Hive, Pig, NoSQL databases, Mahout, Sqoop, Java, cloud computing, and so on. He has vast experience in application development in various domains, such as oil and gas, finance, telecom, manufacturing, security, and retail. He enjoys solving machine-learning problems and spends his time reading anything that he can get his hands on. He has great interest in open source technologies and has been promoting them through his talks. Before Schlumberger, he worked with Symantec, Lumiata, and Infosys. Through his innovative thinking and dynamic leadership, he has successfully completed various projects. He regularly blogs on his website http://hadooptutorials.co.in. You can connect with him on LinkedIn at https://www.linkedin.com/in/deshpandetanmay/. He has also authored Mastering DynamoDB, published in August 2014, DynamoDB Cookbook, published in September 2015, Hadoop Real World Solutions Cookbook-Second Edition, published in March 2016, Hadoop: Data Processing and Modelling, published in August, 2016, and Hadoop Blueprints, published in September 2016, all by Packt Publishing.
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Monitoring DynamoDB tables


To start with, let's get familiar with AWS CloudWatch, which is a network-monitoring service offered by Amazon Web Service. While creating a table, you can set alarms for various events such as provisioning a throughput with exceeded exceptions, maintaining certain threshold, and so on. A table's size in terms of bytes or number of items is not available as a CloudWatch metric by default; however, this can be set up using the DescribeTable operation, and it is a good practice to keep watch on this metric. These metrics are very important from the database admin's point of view, but as we are using a hosted service here, we need not hire a DBA specialist. These metrics would help us keep track of whether there is any sudden demand of resources happening or not, and if the peak and slow time frames can be drawn for our application so that we can keep more read and write throughput for peak time frames and lesser throughput for slow time frames. CloudWatch gives us...

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Mastering DynamoDB
Published in: Aug 2014Publisher: PacktISBN-13: 9781783551958

Author (1)

author image
Tanmay Deshpande

Tanmay Deshpande is a Hadoop and big data evangelist. He currently works with Schlumberger as a Big Data Architect in Pune, India. He has interest in a wide range of technologies, such as Hadoop, Hive, Pig, NoSQL databases, Mahout, Sqoop, Java, cloud computing, and so on. He has vast experience in application development in various domains, such as oil and gas, finance, telecom, manufacturing, security, and retail. He enjoys solving machine-learning problems and spends his time reading anything that he can get his hands on. He has great interest in open source technologies and has been promoting them through his talks. Before Schlumberger, he worked with Symantec, Lumiata, and Infosys. Through his innovative thinking and dynamic leadership, he has successfully completed various projects. He regularly blogs on his website http://hadooptutorials.co.in. You can connect with him on LinkedIn at https://www.linkedin.com/in/deshpandetanmay/. He has also authored Mastering DynamoDB, published in August 2014, DynamoDB Cookbook, published in September 2015, Hadoop Real World Solutions Cookbook-Second Edition, published in March 2016, Hadoop: Data Processing and Modelling, published in August, 2016, and Hadoop Blueprints, published in September 2016, all by Packt Publishing.
Read more about Tanmay Deshpande