Operation

SLA

The Service Level Agreement (SLA) depends on how the Platform Operator manages the Nodepools.

The availabilty of the online Datalayer services can be viewed on this Status page.

The availabity depends on how the Platform Operator manages the Nodepools.

The Platform Operator is responsible to provision the hardware resources (CPU/GPU and memory) to serve new Jupyter Kernels.

The response time of the Datalayer services need to be monitored to ensure they respond fast enough.

Any deviation to the standard or slow response times can be reported to Datalayer.

We offer professional support agreements with various SLA in terms of issues handling terms. Contact us to know more.

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📈 Services Monitoring

The platform operator provisions the Kubernetes cluster with the Jupyter Contents, Environments and Pools.

To create new Kernels, the Datalayer services must be up-and-running.

Disaster Recovery

Upgrades.