Continuous Deployment with Cassandra
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Continuous Deployment of Cassandra and other General best practices with deploying, maintaining, and upgrading Cassandra operations
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Michael Kjellman is a Software Engineer, from San Francisco, working at Barracuda Networks. Michael works across multiple products, technologies, and languages. He primarily works on Barracuda's spam infrastructure and web filter classification data.
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The project is for educational purposes and tinkering with various technologies.
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Fortunately, the new Cisco UCS C4200 Series chassis and C125 M5 server node help you scale out compute-intensive workloads with ease—with the network fabric you already have. This TechWiseTV Workshop will get you up to speed fast.
Resources:
Watch the related TechWiseTV episode: http://cs.co/9006DAVPC
TechWiseTV: http://cs.co/9009DzrjN
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Watch the video: https://wp.me/p3RLHQ-k6W
Learn more: https://wavecomp.ai/
and
http://www.hotchips.org/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
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https://databricks.com/session_eu19/apache-spark-at-scale-in-the-cloud
Using Apache Spark to analyze large datasets in the cloud presents a range of challenges. Different stages of your pipeline may be constrained by CPU, memory, disk and/or network IO. But what if all those stages have to run on the same cluster? In the cloud, you have limited control over the hardware your cluster runs on.
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Sizing the cluster based on your dataset (shuffle partitions)
Ingestion challenges – well begun is half done (globbing S3, small files)
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Speaker: Clément Béra
Thu, August 21, 9:45am – 10:30am
Video Part1
https://www.youtube.com/watch?v=X4E_FoLysJg
Video Part2
https://www.youtube.com/watch?v=gZOk3qojoVE
Description
Abstract: Although recent improvements of the Cog VM performance made it one of the fastest available Smalltalk virtual machine, the overhead compared to optimized C code remains important. Efficient industrial object oriented virtual machine, such as Javascript V8's engine for Google Chrome and Oracle Java Hotspot can reach on many benchs the performance of optimized C code thanks to adaptive optimizations performed their JIT compilers. The VM becomes then cleverer, and after executing numerous times the same portion of codes, it stops the code execution, looks at what it is doing and recompiles critical portion of codes in code faster to run based on the current environment and previous executions.
Bio: Clément Béra and Eliot Miranda has been working together on Cog's JIT performance for the last year. Clément Béra is a young engineer and has been working in the Pharo team for the past two years. Eliot Miranda is a Smalltalk VM expert who, among others, has implemented Cog's JIT and the Spur Memory Manager for Cog.
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- 3. C* At Barracuda • Powers 100% of our Spam and Webfilter Backend • 48 Node Cluster • 2 Datacenters • Requests: 20k writes/sec 30k reads/sec • Latency: 1 ms/write 1.6 ms/read • > 30TB of Data • Almost entirely native protocol/CQL3
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- 6. How do I keep my graphs pretty during a C* upgrade? September 18th 2013
- 7. Make a C* Build $> git clone http://git-wip- us.apache.org/repos/asf/cassandra.git $> git checkout –t origin/cassandra-1.2 $> git log $> vim build.xml (change version number every time you make a build!) $> ant clean release
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- 10. So, why not just apt-get install cassandra? • Makes running a custom release in the future a complete nightmare • Lost visibility into changes in the release • WHY are you upgrading • Treat a C* build just as if it was a release of your code. What commits did you put into your own release?
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