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Posted to commits@ignite.apache.org by dm...@apache.org on 2020/03/24 23:07:37 UTC
svn commit: r1875601 [9/9] - in /ignite/site/branches/ignite-redisign: ./
arch/ features/ images/svg-diagrams/ use-cases/
Modified: ignite/site/branches/ignite-redisign/use-cases/hpc.html
URL: http://svn.apache.org/viewvc/ignite/site/branches/ignite-redisign/use-cases/hpc.html?rev=1875601&r1=1875600&r2=1875601&view=diff
==============================================================================
--- ignite/site/branches/ignite-redisign/use-cases/hpc.html (original)
+++ ignite/site/branches/ignite-redisign/use-cases/hpc.html Tue Mar 24 23:07:36 2020
@@ -62,7 +62,7 @@ under the License.
perform complex calculations at high speeds and with Ignite you can turn your commodity hardware or cloud
environment into a distributed supercomputer.
</p>
- <img class="diagram-right img-fluid" src="/images/collocated_processing.png"/>
+ <img class="diagram-right img-fluid" src="/images/svg-diagrams/high_performance_compute.svg"/>
<p>
Having Ignite as a high-performance compute cluster, you can turn a group of commodity
machines or a cloud environment into a distributed supercomputer of interconnected Ignite
Modified: ignite/site/branches/ignite-redisign/use-cases/in-memory-cache.html
URL: http://svn.apache.org/viewvc/ignite/site/branches/ignite-redisign/use-cases/in-memory-cache.html?rev=1875601&r1=1875600&r2=1875601&view=diff
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--- ignite/site/branches/ignite-redisign/use-cases/in-memory-cache.html (original)
+++ ignite/site/branches/ignite-redisign/use-cases/in-memory-cache.html Tue Mar 24 23:07:36 2020
@@ -61,7 +61,7 @@ under the License.
applications.
</p>
- <img class="img-fluid diagram-right" src="/images/in_memory_data.png"/>
+ <img class="img-fluid diagram-right" src="/images/svg-diagrams/apps_acceleration.svg"/>
<p>
As with classic distributed caches, you can span an Ignite cluster across several interconnected
Modified: ignite/site/branches/ignite-redisign/use-cases/in-memory-database.html
URL: http://svn.apache.org/viewvc/ignite/site/branches/ignite-redisign/use-cases/in-memory-database.html?rev=1875601&r1=1875600&r2=1875601&view=diff
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--- ignite/site/branches/ignite-redisign/use-cases/in-memory-database.html (original)
+++ ignite/site/branches/ignite-redisign/use-cases/in-memory-database.html Tue Mar 24 23:07:36 2020
@@ -65,7 +65,7 @@ under the License.
processing APIs. As a database, Ignite uses memory, disk or Intel Optane as active storage tiers with
no need for caching of all the data and memory warm-ups.
</p>
- <img class="diagram-right img-responsive" src="/images/sql_database.png" />
+ <img class="diagram-right img-responsive" src="/images/svg-diagrams/database.svg" />
<h2>Multi-Tier Storage</h2>
Modified: ignite/site/branches/ignite-redisign/use-cases/key-value-store.html
URL: http://svn.apache.org/viewvc/ignite/site/branches/ignite-redisign/use-cases/key-value-store.html?rev=1875601&r1=1875600&r2=1875601&view=diff
==============================================================================
--- ignite/site/branches/ignite-redisign/use-cases/key-value-store.html (original)
+++ ignite/site/branches/ignite-redisign/use-cases/key-value-store.html Tue Mar 24 23:07:36 2020
@@ -68,7 +68,7 @@ under the License.
co-located computations, and machine learning.
</p>
- <img class="img-responsive diagram-right" src="/images/data_grid.png" />
+ <img class="img-responsive diagram-right" src="/images/svg-diagrams/key_value_store.svg" />
<h2>JCache and Extended Key-Value APIs</h2>
<p>
Modified: ignite/site/branches/ignite-redisign/use-cases/spark-acceleration.html
URL: http://svn.apache.org/viewvc/ignite/site/branches/ignite-redisign/use-cases/spark-acceleration.html?rev=1875601&r1=1875600&r2=1875601&view=diff
==============================================================================
--- ignite/site/branches/ignite-redisign/use-cases/spark-acceleration.html (original)
+++ ignite/site/branches/ignite-redisign/use-cases/spark-acceleration.html Tue Mar 24 23:07:36 2020
@@ -64,7 +64,7 @@ under the License.
it as a data source for Spark workers, and keep using Spark RDDs or DataFrames APIs or gain
even more speed by running Ignite SQL or compute APIs directly.
</p>
- <img class="img-fluid diagram-right" src="/images/spark_integration.png" />
+ <img class="img-fluid diagram-right" src="/images/svg-diagrams/spark_acceleration.svg" />
<p>
In addition to the performance acceleration of Spark applications, Ignite is used as a shared