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Jmeter components
In order to have a functional testing tool which will provide us the possibility to cover the test cases for a variety of technologies, we have extended Jmeter. Below you can find some extensions created by our company: The source code of Apache Jmeter components are available on github Samplers [...]
13
How To Build Optimal Hadoop Cluster
Preface Amount of data stored in database/files is growing every day, using this fact there become a need to build cheaper, mainatenable and scalable environments capable of storing big amounts of data („Big Data“). Conventional RDBMS systems became too expensive and not scalable based on today’s needs, so it is [...]
13
Amazon Elastic MapReduce – Part 1
Introduction Hadoop as a platform enables us to store and process vast amounts of data. Storage capacity and processing power are directly related to the size of our Hadoop cluster and scaling it up is a simple as adding new nodes to the cluster. Amazon Elastic MapReduce service gives us [...]
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Five Important Aspects of Successful Test Automation Approach in Agile
Engineers in charge of Test Automation (further: “TA”) face different challenges in the projects, depending on team size, geographic locations of teams, complexity of project, technologies, methodology/lifecycle used etc. In this whitepaper, we focus on understanding and dealing with TA challenges common in Agile environment. The fundamental difference between Agile [...]
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Software Issue Diagnosis – Using Automated Checks with Jmeter
The Problem One of the fundamental questions in any business is how to spend time. Striving to systematically save time on every single step in a software development process is often overlooked. This paper discusses how automated software checks provide valuable insight into the state of a product, which saves time [...]
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Jmeter as functional testing tool and easily extendable tool
Software development includes functional testing no matter which methodology you are using: waterfall, agile or any other. With the rapid growth of software development expectations and new technologies like hadoop, we need a tool which can fulfill most of our functional testing needs. Apache Jmeter is one of these tools, [...]
6
Hadoop – Identifying and skipping processed data
A paper on indentifying and skipping processed data – an effort to minimize cloud resource wasting in Hadoop when processing data from HDFS. Problem The main problem that I’m trying to describe and resolve in this paper is identifying and skipping processed data on Hadoop. In turn this helped us [...]
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HBase – Row level timestamp consistency in HBase
At its core, HBase is distributed, persistent, sparse column oriented, multidimensional data repository. Multiple dimensions of data are supported by having multiple versions of each HBase table cell. This enables unique identification of each cell by 3 keys: row key, column and version. Following is a simplified view on how [...]
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- Big Data (8)
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- Regression and Monitoring (1)
- Testing Extensions (2)
- Testing Tools (4)
RECENT POSTS
- Regression Suite
- Apache Solr – Slow queries and frequent terms
- Amazon Elastic MapReduce – Part 2 (Amazon S3 Input Format)
- HBase backup, anyone?
- Hadoop powered BI and Analytics – Part 2
- Hadoop powered BI and Analytics – Part 1
- Jmeter components
- How To Build Optimal Hadoop Cluster
- Amazon Elastic MapReduce – Part 1
- Five Important Aspects of Successful Test Automation Approach in Agile
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