Linstor has snapshots, but not off site backups, so also in this case I would have to use Velero with Restic to back up volumes. openebs vs ceph. Create the rook storage class on RKE1 cluster: Define the rook storage class as default: Verify if the rook-ceph-operator is properly deployt: Verify if the rook-ceph cluster is properly deployt: You can use ceph commands to verify the status of your rook-ceph cluster. But does the Rook have what it takes to stand up to the all-time-champ - the Atmos? The basic idea is to run a series of Kubernetes Jobs that will run the relevant tests, and in the job I’ll only be changing the volumes from hostPath to PersistentVolumeClaim (PVC)s supported by OpenEBS provisioned PersistentVolume (PV)s. To help reproducibility I’ll also be making available a GitLab repository with the mostly automated code I ran – You’ll likely need a Kubernetes cluster to follow along. So I only have results from basic fio benchmarks and only with single-node clusters, so I donât have numbers for replicated setups at the moment. The deployment steps for OpenEBS will be provided in the second post of this series. You can build applications using any language, tool or framework. Since in my case I really only care about disk IO performance, I think dd, iozone and sysbench are more than enough. I only tested the jiva engine, so eventually I expect much greater things from cStor. In the tests I’ve chosen to scale the amounts being written and chunks with the resources available, which may not be reasonable for your usecase as how fast you write or how much you write depends on the actual software running. OpenEBS’s jiva-engine backed volumes have about half the throughput for single large writes (gigabytes) and slightly outperformed hostPath for many small writes. Formerly the piece (from Persian رخ rokh/rukh) was called the tower, marquess, rector, and comes (Sunnucks 1970).The term castle is considered to be informal, incorrect, or old-fashioned.. Each player starts the game with two rooks, one on each of the corner squares on their own side of the board. It also has a good dashboard. And yes, maybe somebody can say some words about Linstore. *This is the old Atmos. Use Kafkacat as described above to see if your messages are arriving in kafka1 and kafka2 clusters (via MirrorMaker). In the comments below a reader (perhaps from the company?) I was hoping the enterprise license would automatically downgrade to the developer license at the end of the trial but no, thatâs not the case. I think sysbench is the most established of these in the linux space, but either way I’m going to run all three and see what they tell me. Update! Your first 15 GB of storage are free with a Google Account. In this first post, I’ll walk you through the steps to deploy Apache Kafka with Strimzi Kafka Operator on 2 different Kubernetes Clusters for production and provide replication between 2 Kafka clusters with Kafka MirrorMaker and use our Jmeter Cluster on Kubernetes Implementation with Pepperbox Plugin to run smoke and performance tests on our Kafka clusters. I wish I had kept more notes on more benchmark results, but I hope you find the results above and my comments on each product useful. Optimizing for buyer keywords. Interested in fast and slow trends in computing, programming, OpenEBS platform contains three core building blocks: An orchestration platform, Maya, that works with kubernetes and manages the thousands of volumes with ease. Following an excellent quick reference to iozone, I’m using the following iozone command: The iozone tests took over half a day to run in all (all variations, which means different machine configs and hostpath/openebs-jiva), this is likely because for every configuration (ex. The problem with LocalPV is a volume can only be accessible from the node it has been provisioned on, and there is no replication. I actually found that OpenEBS Jiva was faster for lots of small writes and about half as fast for one big write. Code is available in the related gitlab repo. Terradrift is about travel. OpenEBS builds on Kubernetes to enable Stateful applications to easily access Dynamic Local PVs or Replicated PVs. ), but I’ve heard some bad things about some failure modes of openebs, for now all I can find to back this up is: Another thing that is conspicuously missing is a proper test of distant servers behavior – it would be much more interesting to test on a bigger cluster and simulate a failure of a replica closest to the actual compute that’s doing the file IO – how does the system perform if the OpenEBS data-plane components it’s talking to are across a continent or an ocean? One thing I really want to do is get a test with OpenEBS vs Rook vs vanilla Longhorn (as I mentioned, OpenEBS JIVA is actually longhorn), but from your testing it looks like Ceph via Rook is the best of the open source solutions (which would make sense, it's been around the longest and Ceph is a rock solid project). RunAbove - Extreme High-Performance Cloud Computing & Object Storage In our scenario we’re using the rook-ceph operator on the first cluster RKE1 Strimzi Kafka1 cluster to provide cloud-native storage for kafka with rook. Ceph offers more than just block storage; it offers also object storage compatible with S3/Swift and a distributed file system. What I love about Ceph is that it can spread data of a volume across multiple disks so you can have a volume actually use more disk space than the size of a single disk, which is handy. Glad to see how OpenEBS was able to perform – it only lagged behind in large file writes, and actually did slightly better than hostPath for lots of small writes which is great. Now we are ready to create our first topic “test” in each cluster, a KafkaTopic is defined as a CRD (Custom Resource Definition), we define our test topic with 3 partitions and 3 replicas as follow: And create our first topic in kafka1 cluster and list it: And create a second test topic in kafka2 cluster which resides in the namespace kafka2 on our RKE1 cluster: To see our topic in the kafka broker, we can exec into kafka0 container and list our first kafka0-log which has 3 replicas / partitions: Do exec into other brokers to see the test logs in the partitions.
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