Nomad

Step 1: Define a Nomad job specification for the web application.

Step 2: Submit the job to the Nomad cluster.

Step 3: Nomad schedules the application on available nodes.

Step 4: Monitor the application's health and scale as needed.

Step 1: Create a Nomad job specification for the batch job.

Step 2: Submit the job to the Nomad cluster.

Step 3: Nomad executes the job on available resources.

Step 4: Monitor the job's progress and collect results.

Step 1: Define Nomad job specifications for each microservice.

Step 2: Integrate Nomad with Consul for service discovery.

Step 3: Deploy the microservices to the Nomad cluster.

Step 4: Configure inter-service communication using Consul.

Step 1: Package the ML model/training script into a container.

Step 2: Define a Nomad job that pulls the container and executes the training.

Step 3: Use Nomad's GPU resource awareness to schedule the workload on suitable nodes.

Step 4: Monitor the training progress through Nomad and integrated logging tools.

Step 1: Set up a Nomad cluster that spans both on-prem and cloud resources.

Step 2: Define workload jobs that can be scheduled on either environment based on resource availability.

Step 3: Utilize Nomad's placement constraints to control where specific workloads are run.

Step 4: Use Consul for service discovery across both environments.