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Kandungan disediakan oleh Travis Lawrence. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Travis Lawrence atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
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Optimizing Spark in the Cloud - with Jean-Yves Stephan

32:26
 
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Manage episode 301715754 series 2881014
Kandungan disediakan oleh Travis Lawrence. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Travis Lawrence atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

This episode features Jean-Yves Stephan Co-Founder & CEO @ Data Mechanics (recently Acq. by Spot by NetApp), during our discussion we talk about optimizing Spark to run in the cloud at a low cost.

Top 3 Value Bombs:

  • Running Spark CAN be expensive but there are ways to reduce your current operating costs by 50-75% by smart automations (i.e. tune for node type, memory and CPU).
  • Spot instances can lower your costs by utilizing unused instances.
  • Creating serverless architectures and using containers will allow for more flexibility with deployment models and scalability.

  continue reading

43 episod

Artwork
iconKongsi
 
Manage episode 301715754 series 2881014
Kandungan disediakan oleh Travis Lawrence. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Travis Lawrence atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

This episode features Jean-Yves Stephan Co-Founder & CEO @ Data Mechanics (recently Acq. by Spot by NetApp), during our discussion we talk about optimizing Spark to run in the cloud at a low cost.

Top 3 Value Bombs:

  • Running Spark CAN be expensive but there are ways to reduce your current operating costs by 50-75% by smart automations (i.e. tune for node type, memory and CPU).
  • Spot instances can lower your costs by utilizing unused instances.
  • Creating serverless architectures and using containers will allow for more flexibility with deployment models and scalability.

  continue reading

43 episod

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