rancher VS prometheus

Did something happen to the Apache 2 rancher? https://github.com/rancher/rancher/blob/v2.7.5/LICENSE RKE2 is similarly Apache 2: https://github.com/rancher/rke2/blob/v1.26.7%2Brke2r1/LICENS...

I follow the 4 ABCD steps bellow, but the first pod deployment never ends. What's wrong in it? Logs and result screens are at the end. Detailed configuration can be found here.

CVE-2023-22651 is rated 9.9/10 : https://github.com/rancher/rancher/security/advisories/GHSA-6m9f-pj6w-w87g

Depends. When I came into my last company I immediately noticed the lack of reproducible environments. Brought this up a few times and was met with some resistance because "we didn't have the capacity"... Until prod went down and it took us 23 hours to bring it back up due to spaghetti terraform.

For the latest releases of rancher: https://github.com/rancher/rancher/releases When is Rancher 2.7.1 going to be released? The Rancher support matrix for 2.7.1 shows k8s v1.24.6 as the highest supported version and Azure will drop AKS v1.24 in a few months... Should this be a concern for us? What could happen if we create our cluster with Rancher for an unsupported K8s version? 1.25 for example. - Rancher 2.7.2 just got released including support for 1.25. I have however tested running unsupported versions before, unless there is major deprecations in the kubernetes API it is fine in my experience. If we move to AKS imported clusters, in case we add node pools, and upgrade the cluster, will those changes be reflected in the Rancher Platform? - Yep! If we face some issues by running an unsupported K8s version on Rancher Launched K8s clusters, is it possible to remove it from Rancher, do the stuff we need, and then import it into the platform? - Yes, however be careful and do testing before doing in prod. From top of mind: Remove cluster from rancher (if imported), if rancher created you might want to revoke ranchers SA key for the cluster first (so it can't remove it). Delete the cattle-system namespace, and any other cattle-* namespaces you don't want to keep. And do your thing. It looks like AKS is faster than Rancher regarding supported Kubernetes versions... We would like to know if Rancher will always be on track with AKS regarding the removal of K8s version support and new versions. - In my experience yes. (Been using rancher on all three clouds for a 4 years now). What are exactly the big differences between imported AKS and Rancher-launched AKS? What should we look at, and what issues can we face when using one or another? - The main difference is that rancher will not be able to upgrade the cluster for you. You will have to do that yourself.

variable "rancher" { type = object({ namespace = string version = string branch = string chart_set = list(object({ name = string value = string })) }) default = { namespace = "cattle-system" # There is a bug with destroying the cloud credentials in version 2.6.9 until 2.7.1 and will be fixed in next release 2.7.2. # See https://github.com/rancher/rancher/issues/39300 version = "2.7.0" branch = "stable" chart_set = [ { name = "replicas" value = 3 }, { name = "ingress.ingressClassName" value = "nginx-external" }, { name = "ingress.tls.source" value = "rancher" }, # There is a bug with the uninstallation of Rancher due to missing priorityClassName of rancher-webhook # The priorityClassName need to be set # See https://github.com/rancher/rancher/issues/40935 { name = "priorityClassName" value = "system-node-critical" } ] } description = "Rancher Helm chart properties." }

When I searched DuckDuckGo instead, the 12th link actually had the real answer. It's in this issue on Rancher's GitHub. Turns out the Rancher admin needs to be in all of the Keycloak groups they want to have show up in the auto-populated picklist in Rancher. Being a Keycloak admin and even creating the groups isn't good enough. Frustratingly, the "caveat" note the Rancher guy is pointing to that says this is only present in the guide to setting up Keycloak for SAML, but apparently this is also true for OIDC.

Explicitly set TLS 1.3 in Rancher, though it could be a bug in Rancher: https://github.com/rancher/rancher/issues/35654

Thanks. Yeah looks like this might work: https://github.com/rancher/rancher/releases/tag/v2.7.2-rc3

It's like Prometheus, but for logs. Okay it's not really to do with the Norse or Greek gods, instead Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by the open source project Prometheus. Built by Grafana Labs, Loki is designed for ease of use. Instead of indexing the contents of the logs, Loki provides a set of labels for each log stream. The latest update includes query acceleration with Bloom filters, native OTel support, Helm charts, and more. Check out the changelog for all the major changes and deprecations.

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.