Procedure

  1. Setting Up the Environment
    • Set Up Prometheus and Grafana For Monitoring.
    • Get NGINX or HAProxy set up to load balance traffic to multiple nodes / GPUs.
    • Utilize Kubernetes or Slurm with cluster job matrix.
  2. Configuring Load Balancers
    • Select a load balancing method according to the network traffic, Round Robin or Least Connections.
    • Set up NGINX or HAProxy to distribute traffic to backends.
    • Test load distribution using tools such as Apache JMeter or Locust.
  3. Implementing Schedulers
    • In the yaml file specify requests and limits to schedule the pods in efficiency.
    • Establish a job queue and resource manager such as Slurm or Apache YARN.
    • Check how much work can we do at the same time.
  4. Monitoring Performance
    • Utilize Prometheus to gather data on CPU, GPU, RAM and network usage.
    • Use Grafana to create dashboards to visualize KPIs at a glance.
    • Configure Grafana alerts for threshold breaches (e.g., processor and memory being high).
  5. Analyzing and Optimizing
    • Use monitoring dashboards to find bottlenecks (high latency, uneven load).
    • Modify the load balancing algorithms or scheduling policies according to the metrics observed.
    • In Kubernetes, set up Adaptive scaling policies to add or delete resources automatically based on load.