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updates to the static site [skip ci]
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@ -37,7 +37,7 @@ var PageContainer = React.createClass({
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<li><h4><a href="//github.com/facebook/osquery/labels/RFC" target="_blank">Engineering discussions</a></h4></li>
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</ul>
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<h3 className="page-header">Licence</h3>
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<h3 className="page-header">License</h3>
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<ul>
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<li><h4><a href="//github.com/facebook/osquery/blob/master/LICENSE" target="_blank">BSD License</a></h4></li>
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<li><h4><a href="//github.com/facebook/osquery/blob/master/CONTRIBUTING.md" target="_blank">Contributing</a></h4></li>
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@ -20,72 +20,40 @@ var Page = React.createClass({
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<PageContainer>
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<div className="homepage-text">
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<p className="lead"> osquery exposes an operating system as a
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high-performance relational database. This allows you to write
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SQL-based queries to explore operating system data on a variety of
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platforms. </p>
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<h2> What is osquery? </h2>
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<h3 className="page-header">Interactive SQL</h3>
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<p className="lead">With osquery, you can use SQL to query
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low-level operating system information. Under the hood, instead of
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querying static tables, these queries dynamically execute
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high-performance native code. The results of the SQL query are
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transparently returned to you quickly and easily.</p>
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<p className="lead"> The <strong>interactive query console</strong>,
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osqueryi, gives you a SQL interface to try out new queries and
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explore your operating system. With the power of a complete SQL
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language and dozens of useful tables built-in, osqueryi is an
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invaluable tool when performing incident response, diagnosing an
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systems operations problem, troubleshooting a performance issue, etc.
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</p>
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<p className="lead">Consider the following example, which uses osqueryi,
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the interactive query console, to execute a few SQL queries.</p>
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<h3 className="page-header">Distributed Monitoring</h3>
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<div className="showterm">
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<iframe width="100%" height="480" src="http://showterm.io/65ec8d4eb3c9896815333"></iframe>
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</div>
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<p className="lead"> The <strong>high-performance, low-footprint
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distributed host monitoring daemon</strong>, osqueryd, allows you to
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schedule queries to be executed across your entire infrastructure.
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The daemon takes care of aggregating the query results over time and
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generates logs which indicate state changes in your infrastructure.
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You can use this to maintain insight into the security, performance,
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configuration and state of your entire infrastructure. osqueryd's
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logging can integrate right into your internal log aggregation
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pipeline, regardless of your technology stack, via a robust plugin
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architecture. </p>
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<h2>Install osquery</h2>
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<h3 className="page-header">Performance is a Feature</h3>
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<p className="lead">Installing osquery is easy. We maintain install
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guides for OS X and Linux on the <a
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href="https://github.com/facebook/osquery/wiki#getting-started">wiki</a>.</p>
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<p className="lead"> A top-level goal of osquery is for it to be
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performant enough to run on production infrastructure with the
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smallest possible footprint. The core osquery team at Facebook puts a
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lot of effort into ensuring that all code is rigorously benchmarked
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and tested for memory leaks. All systems operations in osquery use
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underlying systems APIs exclusively. For example, the kextstat table
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in OS X uses the same underlying core APIs as the kextstat
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command.</p>
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<h2>Who uses it?</h2>
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<h3 className="page-header">Deployment is Easy</h3>
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<p className="lead">Facebook uses osquery to gain insight into OS X
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and Linux hosts. Other notable companies also use osquery because
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of how easy it is to deploy osquery and the advanced insight into
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their infrastructure that osquery can offer them</p>
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<p className="lead"> To assist with the rollout process, the osquery
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wiki has <strong> detailed documentation on internal deployment
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</strong>. osquery was built so that every environment specific
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aspect of the toolchain can be hot-swapped at run-time with custom
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plugins. Use these interfaces to deeply integrate osquery into your
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infrastructure if one of the several existing plugins don't suit your
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needs. </p>
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<p className="lead"> Additionally, osquery comes with <strong> native
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packages for all supported operating systems </strong>. There's great
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tooling and documentation around creating packages, so packaging and
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deploying your custom osquery tools can be just as easy too. </p>
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<h3 className="page-header"> Monitor OS X clients as well as Linux servers </h3>
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<p className="lead"> osquery is <strong>cross platform</strong>. Even
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though osquery takes advantage of very low-level operating system
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APIs, you can build and use osquery on Ubuntu, Cent OS and Mac OS X.
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This has the distinct advantage of allowing you to be able to use one
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platform for monitoring complex operating system state across you're
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entire infrastructure. Monitor your corporate Mac OS X clients the
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same way you monitor your production Linux servers. </p>
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<p className="lead"><i>“osquery is simple, lightweight and was very
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easy to integrate with the other tools we use. The deamon is easy
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to configure and the deployment process has been really easy.” -
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Bryan Eastes / Yelp</i></p>
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</div>
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</PageContainer>
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</BasePage>
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);
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@ -18,20 +18,70 @@ var Page = React.createClass({
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subTitle="What osquery can do for you." />
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<PageContainer>
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<p className="lead"> osquery exposes an operating system as a
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high-performance relational database. This allows you to write
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SQL-based queries to explore operating system data on a variety of
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platforms. </p>
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<p className="lead">With osquery, you can use SQL to query low-level
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operating system information. Under the hood, instead of tables, these
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queries dynamically execute high-performance native code. The results
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of the SQL query are transparently returned to you quickly and easily.</p>
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<h3 className="page-header">Interactive SQL</h3>
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<p className="lead">Consider the following example, which uses osqueryi,
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the interactive query console, to execute a few SQL queries.</p>
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<p className="lead"> The <strong>interactive query console</strong>,
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osqueryi, gives you a SQL interface to try out new queries and
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explore your operating system. With the power of a complete SQL
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language and dozens of useful tables built-in, osqueryi is an
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invaluable tool when performing incident response, diagnosing an
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systems operations problem, troubleshooting a performance issue, etc.
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</p>
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<div className="showterm">
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<iframe width="100%" height="480" src="http://showterm.io/7b5f8d42ba021511e627e"></iframe>
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</div>
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<h3 className="page-header">Distributed Monitoring</h3>
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</PageContainer>
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<p className="lead"> The <strong>high-performance, low-footprint
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distributed host monitoring daemon</strong>, osqueryd, allows you to
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schedule queries to be executed across your entire infrastructure.
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The daemon takes care of aggregating the query results over time and
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generates logs which indicate state changes in your infrastructure.
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You can use this to maintain insight into the security, performance,
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configuration and state of your entire infrastructure. osqueryd's
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logging can integrate right into your internal log aggregation
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pipeline, regardless of your technology stack, via a robust plugin
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architecture. </p>
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<h3 className="page-header">Performance is a Feature</h3>
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<p className="lead"> A top-level goal of osquery is for it to be
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performant enough to run on production infrastructure with the
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smallest possible footprint. The core osquery team at Facebook puts a
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lot of effort into ensuring that all code is rigorously benchmarked
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and tested for memory leaks. All systems operations in osquery use
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underlying systems APIs exclusively. For example, the kextstat table
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in OS X uses the same underlying core APIs as the kextstat
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command.</p>
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<h3 className="page-header">Deployment is Easy</h3>
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<p className="lead"> To assist with the rollout process, the osquery
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wiki has <strong> detailed documentation on internal deployment
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</strong>. osquery was built so that every environment specific
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aspect of the toolchain can be hot-swapped at run-time with custom
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plugins. Use these interfaces to deeply integrate osquery into your
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infrastructure if one of the several existing plugins don't suit your
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needs. </p>
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<p className="lead"> Additionally, osquery comes with <strong> native
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packages for all supported operating systems </strong>. There's great
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tooling and documentation around creating packages, so packaging and
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deploying your custom osquery tools can be just as easy too. </p>
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<h3 className="page-header"> Monitor OS X clients as well as Linux servers </h3>
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<p className="lead"> osquery is <strong>cross platform</strong>. Even
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though osquery takes advantage of very low-level operating system
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APIs, you can build and use osquery on Ubuntu, Cent OS and Mac OS X.
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This has the distinct advantage of allowing you to be able to use one
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platform for monitoring complex operating system state across you're
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entire infrastructure. Monitor your corporate Mac OS X clients the
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same way you monitor your production Linux servers. </p>
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</PageContainer>
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</BasePage>
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);
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}
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