Using Spark and Zeppelin to Process Big Data on Kubernetes 1.2
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Using Spark and Zeppelin to Process Big Data on Kubernetes 1.2
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Re: Using Spark and Zeppelin to Process Big Data on Kubernetes 1.2
#2Disclosure: I work at Google on Kubernetes
Lots of folks have been interested in how to run common stacks on Kubernetes; this is a great example of how to run a really common scenario (i.e. using your cluster to do Spark processing).
Re: Using Spark and Zeppelin to Process Big Data on Kubernetes 1.2
#3I really wish there were more tutorials like this on how to set up Spark and other Big Data tools (TensorFlow) on cloud computing, as that personally has been the primary barrier to starting work with extra large amounts of data. (Most current tutorials require running a ton of console commands that are obsolete.)
I took a Spark course on eDX last year, but the environment was set up using a customized Vagrant config with no real-world use. I definitely prefer the Kubernetes approach.
Re: Using Spark and Zeppelin to Process Big Data on Kubernetes 1.2
#4I really wish there were more tutorials like this on how to set up Spark and other Big Data tools (TensorFlow) on cloud computing, as that personally has been the primary barrier to starting work with extra large amounts of data. (Most current tutorials require running a ton of console commands that are obsolete.) I took a Spark course on eDX last year, but the environment was set up using a customized Vagrant config…
Have you checked out DCOS? Once you have your cluster set up, your path to installing Spark is running "dcos package install spark" on your laptop.
Re: Using Spark and Zeppelin to Process Big Data on Kubernetes 1.2
#5I really wish there were more tutorials like this on how to set up Spark and other Big Data tools (TensorFlow) on cloud computing, as that personally has been the primary barrier to starting work with extra large amounts of data. (Most current tutorials require running a ton of console commands that are obsolete.) I took a Spark course on eDX last year, but the environment was set up using a customized Vagrant config…
Have you checked out DCOS? Once you have your cluster set up, your path to installing Spark is running "dcos package install spark" on your laptop.
Huh, no I haven't. Although the package support appears to be more narrow than with Kubernetes/Docker, but DCOS is a possibility too.
Re: Using Spark and Zeppelin to Process Big Data on Kubernetes 1.2
#6I really wish there were more tutorials like this on how to set up Spark and other Big Data tools (TensorFlow) on cloud computing, as that personally has been the primary barrier to starting work with extra large amounts of data. (Most current tutorials require running a ton of console commands that are obsolete.) I took a Spark course on eDX last year, but the environment was set up using a customized Vagrant config…
Disclosure: I work at Google on Kubernetes
We totally agree - we'd love to help folks get started with common frameworks. Did you have any, in particular, that you'd like us to work on next?
Re: Using Spark and Zeppelin to Process Big Data on Kubernetes 1.2
#7I really wish there were more tutorials like this on how to set up Spark and other Big Data tools (TensorFlow) on cloud computing, as that personally has been the primary barrier to starting work with extra large amounts of data. (Most current tutorials require running a ton of console commands that are obsolete.) I took a Spark course on eDX last year, but the environment was set up using a customized Vagrant config…
I really wish there were more tutorials like this on how to set up Spark and other Big Data tools (TensorFlow) on cloud computing, as that personally has been the primary barrier to starting work with extra large amounts of data.
Just as an FYI, we[1] are working on an open source, cloud based Machine Learning / Big Data platform that might be of interest to you. It's not all ready yet, but when it is, there will be a simple REST API that allows you to define the kind of setup you want, "push a button" and have it all deployed. Our initial backend is AWS with plain jane EC2 nodes, but it will be possible to extend it to other configurations as well.
Right now we deploy a Spark/Hadoop Cluster with Apache SystemML, Mahout and MLLib installed. Zeppelin will be coming to the stack, as will other tools like TensorFlow, SparkR, CaffeOnSpark, etc.
We'll be offering our own hosted service based on this, but it'll be open source so you can deploy it in an environment of your own if you wish.
We'll do a "Show HN" when we have something ready, so keep an eye out if that sounds interesting.
I also plan to write up some tutorial and documentation based on our experiences building this out, but the priority right now is getting it built. :-)
Re: Using Spark and Zeppelin to Process Big Data on Kubernetes 1.2
#8I really wish there were more tutorials like this on how to set up Spark and other Big Data tools (TensorFlow) on cloud computing, as that personally has been the primary barrier to starting work with extra large amounts of data. (Most current tutorials require running a ton of console commands that are obsolete.) I took a Spark course on eDX last year, but the environment was set up using a customized Vagrant config…
I really wish there were more tutorials like this on how to set up Spark and other Big Data tools (TensorFlow) on cloud computing, as that personally has been the primary barrier to starting work with extra large amounts of data. Just as an FYI, we[1] are working on an open source, cloud based Machine Learning / Big Data platform that might be of interest to you. It's not all ready yet, but when it is, there will be…
Disclosure: I work at Google on Kubernetes.
If you'd like to do this in containers/Kubernetes, we'd love to highlight your work! Kubernetes runs great on AWS (as well as GCP, Azure and elsewhere), so no cloud migration required.
Re: Using Spark and Zeppelin to Process Big Data on Kubernetes 1.2
#9Disclosure: I work at Google on Kubernetes Lots of folks have been interested in how to run common stacks on Kubernetes; this is a great example of how to run a really common scenario (i.e. using your cluster to do Spark processing).
IS anyone actually using it (Spark on k8s) for intensive loads though?
Re: Using Spark and Zeppelin to Process Big Data on Kubernetes 1.2
#10Earlier quoted context omitted.
I really wish there were more tutorials like this on how to set up Spark and other Big Data tools (TensorFlow) on cloud computing, as that personally has been the primary barrier to starting work with extra large amounts of data. Just as an FYI, we[1] are working on an open source, cloud based Machine Learning / Big Data platform that might be of interest to you. It's not all ready yet, but when it is, there will be…
Disclosure: I work at Google on Kubernetes. If you'd like to do this in containers/Kubernetes, we'd love to highlight your work! Kubernetes runs great on AWS (as well as GCP, Azure and elsewhere), so no cloud migration required.
Awesome, we'll definitely be looking into that as we progress. "Version 1" is going straight to raw VM's as we saw it as the path of least resistance to getting an MVP out (esp. since nobody here has done much work with containers yet) but the container route is definitely something we'll be pursuing at some point.