Re:Launch HN: Parity (YC S24) – AI for on-call engineers wor...
by stackskipton on Monday August 26, 2024 @12:47PM
(#41359052)
>we're still looking for a way to better simulate these on our test environment, so if you/anyone has ideas we’d love to hear them.
Pick Kubernetes offering from big 3, deploy it then blow it up.
(I couldn't get HackerNews to format properly and done fighting it)
On Azure, deploy a Kubernetes cluster with following:
Azure CNI with Network Policies
Application Gateway for Containers
External DNS hooked to Azure DNS
Ingress Nginx
Flexible PostGres Server (outside the cluster)
FluxCD/Argo
Something with using Workload Identity
Once all that is configured, put some fake workloads on it and start misconfiguring it with your LLM wired up. When the fireworks start, identify the failures and train your LLM properly.
Pick Kubernetes offering from big 3, deploy it then blow it up.
(I couldn't get HackerNews to format properly and done fighting it)
On Azure, deploy a Kubernetes cluster with following:
Azure CNI with Network Policies
Application Gateway for Containers
External DNS hooked to Azure DNS
Ingress Nginx
Flexible PostGres Server (outside the cluster)
FluxCD/Argo
Something with using Workload Identity
Once all that is configured, put some fake workloads on it and start misconfiguring it with your LLM wired up. When the fireworks start, identify the failures and train your LLM properly.