MarketsandMarkets recently conducted a study on the Cloud Based Business Analytics Market: “Cloud Analytics Market [Cloud BI; Cloud Business Intelligence] – Text; Web; Speech; Machine; Video; Predictive Analytics: Global Advancements, Delivery Models, Market Trends, Enterprise Roadmap, Market Forecasts and Analysis (2013 – 2018)”, which analyzed and studied the major market drivers, restraints, and opportunities in North America, Western Europe, Eastern Europe, Middle East and Africa, Japan, Asia-Pacific and Latin America.
First, let’s define what we mean by log analytics. The most common log analytics use case involves using Apache Hadoop to process machine-generated logs, which are typically clickstreams from Web applications or servers that support Web applications. Log analytics requires an ability to ingest a large amount of semi-structured information and then boil that information down into a more consumable data set that summarizes the important bits from the interactions. Log processing (for ad placement) is a core use case that Hadoop was invented to help with—so it’s no surprise that it functions well in this scenario.
Usually a single AMP system is enough to serve – let’s say – around 500 concurrent users. Sometimes more, sometimes less, strongly depending on the particular web application, the overall architecture of your system, of course the hardware itself, and how you define “concurrent users”.
When you have a website or a network, it’s helpful to be aware of any issues as soon as they occur. There are open source and freeware server/network monitoring tools that will supervise your infrastructure for any issues that may arise. These tools are meant to aid you in avoiding being taken offline and evaluating if your resource needs has outgrown your infrastructure. In this article, we review our top 10 server/network monitoring tools. You will see a variety of server applications here so that you might find the tool (or tools) for your needs.