velero VS Grafana

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

Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.

To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.

Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.

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

Grafana

Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.

So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:

In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:

Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.