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| <div class="container blog"> |
| <section class="blog__header"><h1>Entries tagged [machine]</h1></section> |
| <div class="blog__content"> |
| <main class="blog_main"> |
| <section class="blog__posts"> |
| <article class="post"> |
| <div class="post__header"> |
| <h2><a href="/blog/ignite-2-8-released-less.html">Ignite 2.8 Released: Less Stress in Production and Advances in Machine Learning</a></h2> |
| <div> |
| March 11, 2020 by Denis Magda: <a href="http://www.facebook.com/sharer.php?u=https://ignite.apache.org/blog/ignite-2-8-released-less.html">Facebook</a><span>, </span |
| ><a href="http://twitter.com/home?status=Ignite 2.8 Released: Less Stress in Production and Advances in Machine Learning%20https://ignite.apache.org/blog/ignite-2-8-released-less.html">Twitter</a> |
| </div> |
| </div> |
| <div class="post__content"> |
| <p> |
| With thousands of changes contributed to Apache Ignite 2.8 that enhanced almost all the components of the platform, it’s possible to overlook some of the improvements that can convince you to upgrade to this version |
| sooner than later. While a quick check of the <a href="https://ignite.apache.org/releases/2.8.0/release_notes.html" target="_blank">release notes</a> will help to discover anticipated bug fixes, this article aims to guide |
| through enhancements every Ignite developer should be aware of. |
| </p> |
| <h3>New Subsystem for Production Monitoring and Tracing</h3> |
| <p> |
| Several months of constant work on <a href="https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=112820392" target="_blank">IEP-35: Monitoring & Profiling</a> has resulted in the creation of a robust and |
| elastic subsystem for production monitoring and diagnostic (aka. profiling). This was influenced by the needs of many developers who deployed Ignite in critical environments and were asking for a foundation that can be |
| integrated with many external monitoring tools and be expanded easily. |
| </p> |
| <p> |
| The <a href="https://apacheignite.readme.io/docs/new-metrics#section-exporters" target="_blank">new subsystem</a> consists of several registries that group individual metrics related to a specific Ignite component. For |
| instance, you will find registries for cache, compute, or service grid APIs. Since the registries are designed to be generic, specific exporters can observe the state of Ignite via a myriad of tools supporting various |
| protocols. By default, Ignite 2.8 introduces exporters for monitoring interfaces such as log files, JMX and SQL views, and contemporary ones such as OpenCensus. |
| </p> |
| </div> |
| <div class="post__footer"><a class="more" href="/blog/ignite-2-8-released-less.html">↓ Read all</a></div> |
| </article> |
| <article class="post"> |
| <div class="post__header"> |
| <h2><a href="/blog/apache-ignite-2-4-brings.html">Apache Ignite 2.4 ings Advanced Machine Learning and Spark DataFrames Capabilities</a></h2> |
| <div> |
| March 15, 2018 by Denis Magda: <a href="http://www.facebook.com/sharer.php?u=https://ignite.apache.org/blog/apache-ignite-2-4-brings.html">Facebook</a><span>, </span |
| ><a href="http://twitter.com/home?status=Apache Ignite 2.4 ings Advanced Machine Learning and Spark DataFrames Capabilities%20https://ignite.apache.org/blog/apache-ignite-2-4-brings.html">Twitter</a> |
| </div> |
| </div> |
| <div class="post__content"> |
| <p> |
| Usually, Ignite community rolls out a new version once in 3 months, but we had to make an exception for Apache Ignite 2.4 that consumed five months in total. We could easily blame Thanksgiving, Christmas and New Year |
| holidays for the delay and would be forgiven, but, in fact, we were forging the release you can't simply pass by. |
| </p> |
| <p>Let's dive in and search for a big fish.</p> |
| <h3>Machine Learning General Availability</h3> |
| <p> |
| Eight months ago, at the time of Apache Ignite 2.0, we put out the first APIs that formed the foundation of the Ignite's machine learning component of today. Since that time, Ignite machine learning experts and |
| enthusiasts have been moving the liary to the general availability condition meticulously. And Ignite 2.4 became a milestone that let us consider the |
| <a href="https://apacheignite.readme.io/docs/machine-learning" target="_blank">ML Grid</a> to be production ready. |
| </p> |
| </div> |
| <div class="post__footer"><a class="more" href="/blog/apache-ignite-2-4-brings.html">↓ Read all</a></div> |
| </article> |
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| <h2><a href="/blog/apache-ignite-2-0-redesigned.html">Apache Ignite 2.0: Redesigned Off-heap Memory, DDL and Machine Learning</a></h2> |
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| May 5, 2017 by Denis Magda: <a href="http://www.facebook.com/sharer.php?u=https://ignite.apache.org/blog/apache-ignite-2-0-redesigned.html">Facebook</a><span>, </span |
| ><a href="http://twitter.com/home?status=Apache Ignite 2.0: Redesigned Off-heap Memory, DDL and Machine Learning%20https://ignite.apache.org/blog/apache-ignite-2-0-redesigned.html">Twitter</a> |
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| <p> |
| We released the long-awaited Apache Ignite version 2.0 on May 5. The community spent almost a year incorporating tremendous changes to the legacy Apache Ignite 1.x architecture. And all of that effort paid off. Our |
| collective blood, sweat (and perhaps even a few tears) opened up new and exciting opportunities for the Apache Ignite project. |
| </p> |
| <p>Have I piqued your interest about this new release yet? Let's walk through some of the main new features that have appeared under the hood of Apache Ignite 2.0.</p> |
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