Linaro Connect resources will be available here during and after Connect!
Booking Private Meetings Private meetings are booked through san19.skedda.com and your personal calendar (i.e. Google Calendar). View detailed instructions here.
For Speakers Please add your presentation to Sched.com by attaching a pdf file to your session (under Extras > + File). We will export these presentations daily and feature on the connect.linaro.org website here. Videos will be uploaded as we receive them (if the video of your session cannot be published please let us know immediately by emailing connect@linaro.org).
With the increasing size and complexities of Hadoop-related clusters every day, how to lift them becomes a challenging task.
The Apache Ambari is aimed at monitoring, provisioning and managing Hadoop-related ecosystem deployment. Management Packs (MPacks) enables Ambari to remove the tight coupling with existing stacks (HDP, HDF, etc.) from Ambari core and flexibly manage any Hadoop-related service into Ambari.
Collaborating with Linaro LDCG, we validate Apache Ambari and implement a new Ambari Arm64 Mpack to make Hadoop deployment and management simpler on Arm64 servers. We also adopt Apache Bigtop to consummate Hadoop-related Arm64 stack. The introductory session will provide the overview of Ambari and Bigtop. And we will give an in-depth perspective into Arm64 Mpacks architecture. The followup demo will showcase the process of Hadoop-related stack deployment on Arm64 servers.
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