Commit 42718df5 authored by Julius Volz's avatar Julius Volz

Improve landing page layout on smaller screens.

- The jumbotron text was not correctly centered between 750px and 970px
  width. Fixed by removing unnecessary HTML.
- Feature items flipped from 4 per row to 1 per row, without any 2-per row
  variant for medium-sized screens. Added a 2-per-row variant.
- The feature items had a fixed height which looked too tall on the
  large end of XS widths (one long item per row). Removed the fixed
  height and let the height adjust itself automatically.
parent 8c3f04c7
......@@ -88,7 +88,6 @@ body {
font-family: 'Lato', sans-serif;
font-weight: 300;
cursor: pointer;
height: 200px;
}
.feature-item:hover {
......
......@@ -3,74 +3,66 @@ layout: jumbotron
---
<div class="jumbotron">
<div class="container">
<div class="row">
<div class="col-xs-12 col-md-8 col-sm-offset-2 center-xs">
<h1>From metrics to insight</h1>
<p class="subtitle">Power your metrics and alerting with a leading<br>open-source monitoring solution.</p>
<p>
<a class="btn btn-default btn-lg" href="/docs/introduction/getting_started/" role="button">GET STARTED</a>
</p>
</div>
</div>
<h1>From metrics to insight</h1>
<p class="subtitle">Power your metrics and alerting with a leading<br>open-source monitoring solution.</p>
<p>
<a class="btn btn-default btn-lg" href="/docs/introduction/getting_started/" role="button">GET STARTED</a>
</p>
</div>
</div>
<div class="container">
<div class="main">
<div class="row">
<div class="col-md-3 feature-item">
<a href="/docs/concepts/data_model/">
<h2><i class="fa fa-flask"></i> Dimensional data</h2>
<p>Prometheus implements a highly dimensional data model. Time series are identified by a metric name and a set of key-value pairs.</p>
</a>
</div>
<div class="col-md-3 feature-item">
<a href="/docs/querying/basics/">
<h2><i class="fa fa-search"></i> Powerful queries</h2>
<p>A flexible query language allows slicing and dicing of collected time series data in order to generate ad-hoc graphs, tables, and alerts.</p>
</a>
</div>
<div class="col-md-3 feature-item">
<a href="/docs/visualization/grafana/">
<h2><i class="fa fa-line-chart"></i> Great visualization</h2>
<p>Prometheus has multiple modes for visualizing data: a built-in expression browser, Grafana integration, and a console template language.</p>
</a>
</div>
<div class="col-md-3 feature-item">
<a href="/docs/operating/storage/">
<h2><i class="fa fa-database"></i> Efficient storage</h2>
<p>Prometheus stores time series in memory and on local disk in an efficient custom format. Scaling is achieved by functional sharding and federation.</p>
</a>
</div>
<div class="row">
<div class="col-md-3 col-sm-6 col-xs-12 feature-item">
<a href="/docs/concepts/data_model/">
<h2><i class="fa fa-flask"></i> Dimensional data</h2>
<p>Prometheus implements a highly dimensional data model. Time series are identified by a metric name and a set of key-value pairs.</p>
</a>
</div>
<div class="col-md-3 col-sm-6 col-xs-12 feature-item">
<a href="/docs/querying/basics/">
<h2><i class="fa fa-search"></i> Powerful queries</h2>
<p>A flexible query language allows slicing and dicing of collected time series data in order to generate ad-hoc graphs, tables, and alerts.</p>
</a>
</div>
<div class="col-md-3 col-sm-6 col-xs-12 feature-item">
<a href="/docs/visualization/grafana/">
<h2><i class="fa fa-line-chart"></i> Great visualization</h2>
<p>Prometheus has multiple modes for visualizing data: a built-in expression browser, Grafana integration, and a console template language.</p>
</a>
</div>
<div class="col-md-3 col-sm-6 col-xs-12 feature-item">
<a href="/docs/operating/storage/">
<h2><i class="fa fa-database"></i> Efficient storage</h2>
<p>Prometheus stores time series in memory and on local disk in an efficient custom format. Scaling is achieved by functional sharding and federation.</p>
</a>
</div>
</div>
<div class="main">
<div class="row">
<div class="col-md-3 feature-item">
<a href="/docs/operating/configuration/">
<h2><i class="fa fa-cog"></i> Simple operation</h2>
<p>Each server is independent for reliability, relying only on local storage. Written in Go, all binaries are statically linked and easy to deploy.</p>
</a>
</div>
<div class="col-md-3 feature-item">
<a href="/docs/alerting/rules/">
<h2><i class="fa fa-warning"></i> Precise alerting</h2>
<p>Alerts are defined based on Prometheus's flexible query language and maintain dimensional information. An alertmanager handles notifications and silencing.</p>
</a>
</div>
<div class="col-md-3 feature-item">
<a href="/docs/instrumenting/clientlibs/">
<h2><i class="fa fa-code"></i> Many client libraries</h2>
<p>Client libraries allow easy instrumentation of services. Currently, Go, Java, and Ruby are supported. Custom libraries are easy to implement.</p>
</a>
</div>
<div class="col-md-3 feature-item">
<a href="/docs/instrumenting/exporters/">
<h2><i class="fa fa-cloud-upload"></i> Many integrations</h2>
<p>Existing exporters allow bridging of third-party data into Prometheus. Examples: system statistics, as well as Docker, HAProxy, StatsD, and JMX metrics. </p>
</a>
</div>
<div class="row">
<div class="col-md-3 col-sm-6 col-xs-12 feature-item">
<a href="/docs/operating/configuration/">
<h2><i class="fa fa-cog"></i> Simple operation</h2>
<p>Each server is independent for reliability, relying only on local storage. Written in Go, all binaries are statically linked and easy to deploy.</p>
</a>
</div>
<div class="col-md-3 col-sm-6 col-xs-12 feature-item">
<a href="/docs/alerting/rules/">
<h2><i class="fa fa-warning"></i> Precise alerting</h2>
<p>Alerts are defined based on Prometheus's flexible query language and maintain dimensional information. An alertmanager handles notifications and silencing.</p>
</a>
</div>
<div class="col-md-3 col-sm-6 col-xs-12 feature-item">
<a href="/docs/instrumenting/clientlibs/">
<h2><i class="fa fa-code"></i> Many client libraries</h2>
<p>Client libraries allow easy instrumentation of services. Currently, Go, Java, and Ruby are supported. Custom libraries are easy to implement.</p>
</a>
</div>
<div class="col-md-3 col-sm-6 col-xs-12 feature-item">
<a href="/docs/instrumenting/exporters/">
<h2><i class="fa fa-cloud-upload"></i> Many integrations</h2>
<p>Existing exporters allow bridging of third-party data into Prometheus. Examples: system statistics, as well as Docker, HAProxy, StatsD, and JMX metrics. </p>
</a>
</div>
</div>
......
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