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DAM Search Relies on Metadata
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Author(s): Tomasz Szandala
ELK Stack is a powerful monitoring system known for efficient log management and versatile visualization. This hands-on workshop will help you take your first steps with setting up your own ELK Stack monitoring solution.
Today s networks require a monitoring solution with industrial-strength log management and analytics. One option that has gained popularity in recent years is ELK stack [1]. The free and open source ELK Stack collection is maintained by a company called Elastic. (According to the website, the company has recently changed the name of the project to Elastic Stack, but the previous name is still in common usage.) ELK Stack is not a single tool but a collection of tools (Figure 1). The ELK acronym highlights the importance of the collection s three most important utilities. At the heart of the stack, Elasticsearch collects and maintains data, providing an engine, based on Apache Lucene, for searching through it. Logstash serves as
Tech takes on its racist terminology
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In a blog post, AWS explained that since Elastic is no longer making its search and analytic engine Elasticsearch and its companion data visualization dashboard Kibana available as open source, AWS is taking action. In order to ensure open source versions of both packages remain available and well supported, including in our own offerings, we are announcing today that AWS will step up to create and maintain an ALv2-licensed fork of open-source Elasticsearch and Kibana.
The AWS team continues:
Choosing to fork a project is not a decision to be taken lightly, but it can be the right path forward when the needs of a community diverge as they have here. An important benefit of open source software is that when something like this happens, developers already have all the rights they need to pick up the work themselves, if they are sufficiently motivated.