Kubernetes image distribution challenge - thoughts and tests
I studied, compared and tried some solutions (Dragonfly, Uber Kraker, kube-image-keeper,..) to understand how they addressed the above challenge. I then produced a final thought
Efficient way to troubleshoot on any systems
There's no greater frustation of trying to troubleshoot on a system for many hours (or days) while the solution was under our nose for all the time.
How TorchServe could scale in a Kubernetes environment using KEDA
I almost burned a 7K Euros GPU card (NVIDIA A100 PCIe GPU) to understand how a TorchServe could meet the increasing of ondemand inference requests at scale.
Serve AI models using TorchServe in Kubernetes at scale
In a tipical MLOps pratice, among the various things, we need to serve our AI models to users exposing inference APIs.
I tried a production ready framework (TorchServe) installing it on Azure Kubernetes Service and tested its power to the maximum.
Helm hooks - real use cases
Let's see how Helm hooks work and what are the real use cases.
Docker Registry HTTP API V2 demistified once and for all.
Docker Registry HTTP API V2 demistified once and for all.
My startups' post mortem analysis
Failures could be a step to the success only if understood.
I reported here my 2 startups experiences with a summary of the main events and some personal post mortem thoughts.
Secrets store CSI driver vs external secrets in a nutshel
Delegate secret management to an external specialized tool is a very important thing to take in mind in order to manage in a secure and professional way a fleet of cluster Kubernetes. Let's see two main solutions in the Kubernetes ecosystem: Secret Store CSI Driver and External Secrets !
How Kubernetes CSI driver works
Explanation of how CSI driver works in Kubernetes in order to be ready to troubleshoot!
Ecuador - Galapagos
Ecuador Galapagos islands
