vcluster VS prometheus

Kubernetes? You mean the container orchestration system where they forgot to add Multi-tenancy? And no namespaces are not Multi-tenancy...

https://www.vcluster.com/

Whats the difference between this and vcluster (https://github.com/loft-sh/vcluster)?

Yep, as we see it they compliment each other quite well. DevPod takes your workspace to the cloud and DevSpace let's you develop against your Kubernetes cluster - potentially the same one you used to start your workspace.

Internally we use both in our development setup, spinning up remote workspaces using DevPod, installing DevSpace and kind into the devcontainer, then using DevSpace to develop against the cluster. See the vcluster setup[1] as an example

[1]https://github.com/loft-sh/vcluster/tree/main/.devcontainer

The tenants are internal dev teams so yeah maybe not. I was considering multi-tenanting different environments isolated at the kube layer with vCluster and have the vCluster pods running in Kata containers giving maximum isolation but still having a single management cluster. Ideally also avoiding the need to buy a second set of hardware for a dev environment

Vcluster

Looks interesting. How does this solution compare to vcluster?

sounds like the best option for you , is a tool called VCluster by loft ( https://www.vcluster.com/) , this way you can install as many k8s cluster as you want in the same k8s host cluster , those cluster share workers nodes and networking, but each has a separated "api server" , so it looks like you have a dedicated cluster with their own namespaces and tools . take a look at the docs to get a better understanding and how they work.

We're about to run a PoC with vcluster for isolated sandboxes, this might be relevant to you too

I think namespaces, RBAC and network policies are sufficient to partition users from the same organisation. I would investigate the use of vcluster ig you want to give your users even more isolation and capability (such as installing CRDs)

Depends on the use case. Namespaces provides soft isolation (so it means they share same Apiserver, PV's and global resources such as CRD's), but can be restricted with network policies. So it means, there's still potential in breaking other namespaces if you change PV's or CRD's which are used by other namespaces. Multi-Cluster solution can provide full isolation, but its also really expensive in resource consumption and maintenance/management effort. If namespaced-isolation isnt enough for your use case, you can consider vclusters (https://www.vcluster.com/)

WriteRequest::timeseries is a vector (https://github.com/prometheus/prometheus/blob/main/prompb/re...) and

Developers widely use Prometheus as a system for operational monitoring and alerting for their projects. Here is a list of tools for monitoring frontend services with Prometheus.

Just to give an example of the power of Go for CLI builds, you may have already used or at least heard of Docker, Kubernetes, Prometheus, Terraform, but what do they all have in common? They all have a large part of their usability via CLI and are developed in Go 🐿.

Distributed system administrators need mechanisms and tools for monitoring individual nodes in order to analyze the system and promptly detect anomalies. Developers also need effective mechanisms for analyzing, diagnosing issues, and identifying bugs in protocol implementations. Logging, tracing, and collecting metrics are common observability techniques to allow monitoring and obtaining diagnostic information from the system; most of the explored code bases use these techniques. OpenTelemetry and Prometheus are popular open-source monitoring solutions, which are used in many of the explored code bases.

Setting up monitoring for a system, especially one involving GRPC communication, provides crucial visibility into its operations. In this guide, we walked through the steps to instrument both a GRPC server and client with Prometheus metrics, exposed those metrics via an HTTP endpoint, and visualized them using Grafana. The Docker-Compose setup simplified the deployment of both Prometheus and Grafana, ensuring a streamlined process.

Alerting and Notification: Select a tool with flexible alerting mechanisms to proactively detect anomalies or deviations from defined thresholds. Consider asking questions like "Does this tool offer customizable alerting options and support notification channels that suit our team's communication preferences?" A tool like Prometheus provides robust alerting capabilities.

Prometheus

Prometheus is an open-source monitoring and alerting toolkit. It is designed to monitor highly dynamic containerized systems, making it an excellent choice for monitoring Docker containers and Kubernetes clusters.

wget https://github.com/prometheus/prometheus/releases/download/v2.46.0/prometheus-2.46.0.linux-amd64.tar.gz

Prometheus: Open-source monitoring system. Often used together with Grafana.