You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@geode.apache.org by ma...@apache.org on 2015/11/23 21:49:17 UTC

[47/50] [abbrv] incubator-geode git commit: Reconciled Greg's and Dave's changes to the homepage from PRs #36 and #38

Reconciled Greg's and Dave's changes to the homepage from PRs #36 and #38


Project: http://git-wip-us.apache.org/repos/asf/incubator-geode/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-geode/commit/831ce709
Tree: http://git-wip-us.apache.org/repos/asf/incubator-geode/tree/831ce709
Diff: http://git-wip-us.apache.org/repos/asf/incubator-geode/diff/831ce709

Branch: refs/heads/feature/GEODE-53
Commit: 831ce70960980b0c961a198266005fd9d62f8d4a
Parents: d0b593c
Author: Dave Barnes <db...@pivotal.io>
Authored: Fri Nov 20 16:01:20 2015 -0800
Committer: Dave Barnes <db...@pivotal.io>
Committed: Fri Nov 20 16:01:20 2015 -0800

----------------------------------------------------------------------
 gemfire-site/content/index.html | 36 +++++++++++++++++++++---------------
 1 file changed, 21 insertions(+), 15 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/incubator-geode/blob/831ce709/gemfire-site/content/index.html
----------------------------------------------------------------------
diff --git a/gemfire-site/content/index.html b/gemfire-site/content/index.html
index e8c8776..097fa86 100644
--- a/gemfire-site/content/index.html
+++ b/gemfire-site/content/index.html
@@ -71,11 +71,12 @@
             <img class="logo-title img-responsive hidden-xs" src="img/apache_geode_logo.png" />
             <div class="text-container">
                 <h2 class="tagline"><em>Performance</em> is key. <em>Consistency</em> is a must.</h2>
-                <p class="description">Solving the hardest data management problems since 2002.<br/>
-                  <br/>Build elastic modern <em>in-memory</em> data intensive applications and <em>scale</em>.<br/>
-                  <br/>Deliver high-performance at cloud scale blending advanced techniques for data replication, partitioning and distributed processing.<br/>
+                <p class="description">Solving low latency data management problems at very high concurrency since 2002.<br/>
+                  <br/>Build high-speed, data-intensive applications that elastically meet performance requirements at any scale.<br/>
+                  Take advantage of Apache Geode's unique technology that blends advanced techniques for data replication, partitioning and distributed processing.
 
-                  <br/>Implement a database-like consistency model, reliable transaction processing and shared-nothing architecture with ease.<br/></p>
+                  <br/><br/>
+                  Apache Geode provides a database-like consistency model, reliable transaction processing and a shared-nothing architecture to maintain very low latency performance with high concurrency processing.<br/></p>
             </div>
 
             <div class="btn-wrapper">
@@ -94,42 +95,42 @@
             <div class="col-md-4">
                 <div class="bf-icon-wrap"><i style="font-size:65px; vertical-align: -5px;" aria-hidden="true" class="icon-sitemap""></i></div>
                 <h3>Replication and Partitioning</h3>
-                <p>Data can easily be partitioned (sharded) or replicated and resilience is ensured through redundant copies or disk-persistence allowing data to scale to fit any need.</p>
+                <p>Data can easily be partitioned (sharded) or replicated between nodes allowing performance to scale as needed. Durability is ensured through redundant in-memory copies and disk-based persistence.</p>
             </div>
             <div class="col-md-4">
                 <div class="bf-icon-wrap"><i style="font-size:65px; vertical-align: -5px;" aria-hidden="true" class="icon-hdd"></i></div>
                 <h3>Persistence</h3>
-                <p>Super fast WAL persistence mechanism with shared-nothing architecture optimized for fast parallel recovery of a cluster or a single node.</p>
+                <p>Super fast write-ahead-logging (WAL) persistence with a shared-nothing architecture that is optimized for fast parallel recovery of nodes or an entire cluster.</p>
             </div>
             <div class="col-md-4">
                 <div class="bf-icon-wrap"><i aria-hidden="true" class="icon-rocket"></i></div>
                 <h3>Performance</h3>
-                <p>Predictable low latency for transactions, reads, writes and query processing over indexed and non-indexed data.</p>
+                <p>Linear-scaling low latency for transactions, reads, writes and query processing of indexed or unindexed data.</p>
             </div>
         </div>
         <div class="row">
             <div class="col-md-4">
                 <div class="bf-icon-wrap" style="font-size:40px; vertical-align: 15px;"><i aria-hidden="true" class="icon-fast-forward"></i><i aria-hidden="true" class="icon-dashboard"></i></div>
                 <h3>In-Memory Storage</h3>
-                <p>Blazing fast in-memory storage optimized for large heaps, with the option of using off-heap storage, compression and features such as disk-overflow, eviction and expiration.</p>
+                <p>Blazing fast in-memory storage optimized for large heaps, with the option of using off-heap storage, compression and features such as disk-overflow, eviction and expiration of data.</p>
             </div>
             <div class="col-md-4">
                 <div class="bf-icon-wrap"><span style="font-size:60px" aria-hidden="true" class="icon-cogs"></span></div>
                 <h3>Functions</h3>
-                <p>Distributed data-aware processing can be deployed and executed in parallel on a cluster. Failed operations can be retried on different nodes.</p>
+                <p>Distributed location-aware user functions can be deployed and executed by the same nodes storing relevant sharded data for fast parallel processing. Failed operations can be retried on replicant nodes.</p>
             </div>
             <div class="col-md-4">
                 <div class="bf-icon-wrap"><i style="font-size:65px; vertical-align: -5px;" aria-hidden="true" class="icon-credit-card"></i></div>
                 <h3>Transactions</h3>
-                <p>ACID distributed transactions support for efficient and safe coordinated operations on colocated data. Transactions can be  initiated from a client or a server and can be suspended.</p>
+                <p>ACID distributed transactions support efficient and safe coordinated operations on colocated data. Transactions can be initiated or suspended by either a client or a server.</p>
             </div>
         </div>
         <div class="row">
           <div class="col-md-4">
               <div class="bf-icon-wrap"><i style="font-size:65px; vertical-align: -5px;" aria-hidden="true" class="icon-table"></i></div>
               <h3>OQL and Indexes</h3>
-              <p>Object Query Language supports distributed query execution on hot and cold data, with SQL-like capabilities, including joins.<br/>
-              Multiple indexes can be created and consistently maintained across the cluster.</p>
+              <p>Object Query Language allows distributed query execution on hot and cold data, with SQL-like capabilities, including joins.<br/>
+              Multiple kinds of indexes can be defined and consistently maintained across the cluster.</p>
           </div>
           <div class="col-md-4">
               <div class="bf-icon-wrap"><i style="font-size:65px; vertical-align: -5px;" aria-hidden="true" class="icon-bolt"></i></div>
@@ -139,7 +140,7 @@
           <div class="col-md-4">
               <div class="bf-icon-wrap"><i style="font-size:65px; vertical-align: -5px;" aria-hidden="true" class="icon-cloud"></i></div>
               <h3>Clustering</h3>
-              <p>Highly scalable, robust, advanced clustering technology with failure detection, dynamic scale, and network-partition detection algorithms.</p>
+              <p>Highly scalable, robust advanced clustering technology with failure detection, dynamic scaling, and network-partition detection algorithms.</p>
           </div>
         </div>
     </div>
@@ -162,8 +163,13 @@
             <div class="col-md-12 text-left">
                 <h2>About the Project</h2>
                 <p>Apache Geode is a data management platform that provides real-time, consistent access to data-intensive applications throughout widely distributed cloud architectures.</p>
-                <p>By pooling memory, CPU, network resources, and optionally local disk across multiple processes to manage application objects and behavior, it uses dynamic replication and data partitioning techniques to implement high availability, improved performance, scalability, and fault tolerance. In addition to being a distributed data container, Geode is an in-memory data management system that provides reliable asynchronous event notifications and guaranteed message delivery.</p>
-                <p>Apache Geode is a mature mature and robust product that can trace its legacy all the way back to GemStone, one of the first Object Databases for Smalltalk. Geode (as GemFire™) was first deployed in the financial sector as the transactional, low-latency data engine used by multiple Wall Street trading platforms. Today Geode is used by over 600 enterprise customers for high-scale, 24x7 business critical applications.</p>
+
+                <p>By pooling memory, CPU, network resources, and optionally local disk across multiple processes to manage application objects and behavior, it uses dynamic replication and data partitioning techniques to implement high availability, improved performance, scalability, and fault tolerance. In addition to being a distributed data container, Apache Geode is an in-memory data management system that provides reliable asynchronous event notifications and guaranteed message delivery.</p>
+
+                <p>Apache Geode is a mature, robust technology originally developed by GemStone Systems in Beaverton, Oregon.
+Commercially available as GemFire™, the technology was first widely deployed in the financial sector as the transactional, low-latency data engine used
+in Wall Street trading platforms. 
+Today Apache Geode is used by over 600 enterprise customers for high-scale business applications that must meet low latency and 24x7 availability requirements.</p>
             </div>
             <!--
             <div class="col-md-4 text-left">