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Showing posts from February 5, 2023

Volcano: Intro & Deep Dive - Klaus Ma, Huawei Cloud

etcd election timeout value

  The proper etcd election timeout value configuration depends on the specific use case and environment in which etcd is deployed. The election timeout is the amount of time that a member of an etcd cluster waits for a response from the current leader before starting a new election to choose a new leader. In general, it is recommended to set the election timeout to a value that is greater than the network latency between etcd members, but less than the time it takes to detect a failure. A common rule of thumb is to set the election timeout to be between 500ms and 1 second. However, this is just a general recommendation, and the ideal election timeout value can vary depending on the network environment, the size of the cluster, and the number of members in the cluster. It is important to thoroughly test and evaluate the performance of an etcd cluster with different election timeout values to determine the optimal configuration for a particular use case. In summary, the election timeout

transition from slurm to kubernetes

  Slide 1: Introduction Brief overview of Slurm and Kubernetes Purpose of the presentation: to outline the steps and benefits of transitioning from Slurm to Kubernetes Slide 2: Assessing Your Needs Review your current use of Slurm and identify the reasons for considering a transition to Kubernetes Evaluate your current workloads and determine if they are a good fit for Kubernetes Slide 3: Preparing for the Transition Plan the transition process and timeline Determine the resources required to support the transition Develop a training plan for your team Slide 4: Migrating Applications to Kubernetes Containerize your applications Test the containerized applications in a development environment Deploy the applications to a production Kubernetes cluster Slide 5: Updating Cluster Management Migrate cluster management from Slurm to Kubernetes Integrate other tools and systems as needed Monitor the cluster for stability and performance Slide 6: Benefits of Kubernetes Scalability: ability to m

comparison matrix of Slurm and Kubernetes

  Here is a comparison matrix of Slurm and Kubernetes, highlighting the key differences between the two platforms: Feature Slurm Kubernetes Scalability Good Excellent Resource Management Strong Strong Container Support Limited Native Automation Limited Strong Integration Limited Strong Monitoring & Troubleshooting Good Excellent Security Good Good Community & Ecosystem Strong Strong Cost Moderate Moderate to High Slurm is a mature, widely-used platform for job scheduling and resource management, but it does not natively support containers, and its automation and integration capabilities are limited. Kubernetes, on the other hand, is a relatively new platform that was designed from the ground up to support containers and provide strong automation, integration, and monitoring capabilities. Kubernetes is highly scalable, has a large and active community, and offers a rich ecosystem of tools and services. However, its cost can be higher than Slurm, particularly for organizations th