The structure
Pulsar Operator creates/configures/manages pulsar clusters atop Kubernetes. You can find detailed instructions for setting up a Kubernetes cluster on AWS here.
I was also able to run my Spark jobs along with many other applications such as Presto and Apache Kafka in the same Kubernetes cluster, using the same FlashBlade storage.
Thanks to the Spark Operator, with a couple of commands, I was able to deploy a simple Spark job running on Kubernetes. As an example, weâll create a new GKE cluster for Kubernetes version 1.6.4 in the us-central1-a zone. First, create an alias to use the pulsar-perf tool via the admin pod: Similarly, you can start a consumer to subscribe to and receive all the messages on that topic: You can also view stats for the topic using the pulsar-admin tool: The default monitoring stack for Pulsar on Kubernetes has consists of Prometheus, Grafana, and the Pulsar dashbaord.
Using this pattern, you can automate the deployment, management, etc. To provision a Kubernetes cluster manually, follow the GKE instructions. Clone project to the kubernetes master node(project must in GOPATH): We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. The controller-runtime framework uses the Reconciler interface to implement the reconciling of a specific Kind. For more information, see our Privacy Statement.
You can control which machines host bookie servers using labels. No need of Hadoop, which is complex to use and operate. The kubebuilder generates a Makefile to build and run the Operator.
These SSDs will be used by bookie instances, one for the BookKeeper journal and the other for storing the actual message data. Refer to my deck for the details of S3A committers and their performance character.
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