Apache Monitoring Tools

Currently, the Hadoop distribution has an open source version of Apache and a Hortonworks distribution (HDP Hadoop), MapR Hadoop, and so on. All of these distributions are based on Apache Hadoop.

Six open source monitoring tools which one did you use? Published in 2013-03-15 12:22| Times Read | SOURCE csdn| 0 Reviews | The author Zhang Hong Month open source Monitoring Tool Muningangliagraphitepingdom Summary: This article introduced 6 practical monitoring tools, not only can you monitor the network resources, but also monitor the server, user requests, Web performance, etc., to your site to provide comprehensive,  One-stop guidance and monitoring. If you think the site is built, it's all right.

Hadoop is a large data distributed system infrastructure developed by the Apache Foundation, the earliest version of which was the 2003 original Yahoo! Doug cutting is based on Google's published academic paper. Users can easily develop and run applications that process massive amounts of data in Hadoop without knowing the underlying details of the distribution. The features of low cost, high reliability, high scalability, high efficiency and high fault tolerance make Hadoop the most popular large data analysis system, yet its HDFs and mapred ...

What are the most reliable Web application monitoring programs? What criteria should we use to compare? First consider whether you want to solve one or more of the following problems: 498) this.width=498 ' OnMouseWheel = ' javascript:return big ( This) "border=" 0 "alt=" How to select the standard Web application monitoring tool "src=" http://s9.51c ...

This year, big data has become a topic in many companies. While there is no standard definition to explain what "big Data" is, Hadoop has become the de facto standard for dealing with large data. Almost all large software providers, including IBM, Oracle, SAP, and even Microsoft, use Hadoop. However, when you have decided to use Hadoop to handle large data, the first problem is how to start and what product to choose. You have a variety of options to install a version of Hadoop and achieve large data processing ...

Big data has almost become the latest trend in all business areas, but what is the big data? It's a gimmick, a bubble, or it's as important as rumors. In fact, large data is a very simple term--as it says, a very large dataset. So what are the most? The real answer is "as big as you think"! So why do you have such a large dataset? Because today's data is ubiquitous and has huge rewards: RFID sensors that collect communications data, sensors to collect weather information, and g ...

This time, we share the 13 most commonly used open source tools in the Hadoop ecosystem, including resource scheduling, stream computing, and various business-oriented scenarios. First, we look at resource management.

October 24, 2012, real-time operations information software provider Splunk announced that Splunk Hadoop Connect and Splunk App for Hadoopops are now fully listed. Splunk Hadoop Connect provides bidirectional integration to easily and reliably migrate data between Splunk and Hadoop. Splunk App for Hadoopops allows real-time monitoring and analysis of the health and performance of the End-to-end Hadoop environment. Spl ...

Cloud management is increasingly well known and is becoming a hot topic for now, with every emerging company and established vendors providing some tools to manage the cloud environment. There are a wide variety of tasks, such as monitoring tools, configuration tools, and tools in between. On the market there are natural fog (vaporware), this kind of tools to dazzle people, want to quickly have a certain understanding and clear, it is not easy. If you deploy a cloud that is not a mission-critical environment, but rather a fairly static environment, you may not need to configure the system dynamically. In the ...

Hadoop is a large data distributed system infrastructure developed by the Apache Foundation, the earliest version of which was the 2003 original Yahoo! Dougcutting based on Google's published academic paper. Users can easily develop and run applications that process massive amounts of data in Hadoop without knowing the underlying details of the distribution. The features of low cost, high reliability, high scalability, high efficiency and high fault tolerance make Hadoop the most popular large data analysis system, yet its HDFs and mapreduc ...