velero VS prometheus

Openshift last I looked used Velero under the covers for the functionality, which works fine in standard kubernetes. Most if not all that Openshift does is Open source.

Valero

velero is also a popular solution to for k8s backup that is 3rd party you might check out.

Logical backups using pre and post hooks thanks to this suggestion https://github.com/vmware-tanzu/velero/issues/2763 working way better than kanister blueprints.

While not discounting OP or the work in this repo (seems like a fun k8s/go project), folks might check out Velero for this purpose if they're looking to rely on this kind of export in prod: https://github.com/vmware-tanzu/velero

Hyper-V itself does not directly support backing up container-based platforms like Kubernetes clusters. To back up a Kubernetes cluster, you would typically use tools that interact with the Kubernetes API to capture the necessary data and metadata for backup purposes. Some of those tools are Velero https://velero.io/ (formerly Heptio Ark), Kasten K10, and Stash.

For Kubernetes-land, https://velero.io/ is awesome - but I haven't used it for online-database backups yet. If you're exploring, I'd checkout Velero - if you just need something to work reliably, I'd checkout Percona.

If you're looking for a backup solution for managed kubernetes, check out Velero. It is great for non-managed kube as well (but you've got other options like etcd backups)

You can also leverage https://velero.io/ to backup both cluster state and pvc state to s3

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.