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Buffer is a software application for the web and mobile, designed to manage accounts in social networks, by providing the means for a user to schedule posts to Twitter, Facebook, Mastodon, Instagram, Instagram Stories, Pinterest, and LinkedIn, as well as analyze their results and engage with their community.
Ganglia software is bundled with enterprise-level Linux distributions such as Red Hat Enterprise Linux (RHEL) or the CentOS repackaging of the same. Ganglia grew out of requirements for monitoring systems by Berkeley (University of California) but now sees use by commercial and educational organisations such as Cray, MIT, NASA and Twitter.
Twitter, which uses the micro-blogging platform, could be reasonably considered as one of the most powerful free tool for buzz monitoring. [2] With its micro-blogging facilities, users can share their thoughts quickly and promptly, view the latest trending topics, and search the profiles of people without the need to "follow" them.
A buzz graph for the term "teszt" on Twitter in a social media monitoring tool. Social media analytics or social media monitoring is the process of gathering and analyzing data from social networks such as Facebook, Instagram, LinkedIn, or Twitter. A part of social media analytics is called social media monitoring or social listening. It is ...
Social media management software (SMMS) is an application program or software that facilitates an organization's ability to successfully engage in social media across different communication channels. SMMS is used to monitor inbound and outbound conversations, support customer interaction, audit or document social marketing initiatives and ...
Social media intelligence (SMI or SOCMINT) comprises the collective tools and solutions that allow organizations to analyze conversations, respond to synchronize social signals, and synthesize social data points into meaningful trends and analysis, based on the user's needs.
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Prometheus is a free software application used for event monitoring and alerting. [2] It records metrics in a time series database (allowing for high dimensionality) built using an HTTP pull model, with flexible queries and real-time alerting.
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