rancher VS Grafana

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

Today, I’d like to touch on open-source intelligence, or OSINT. According to Wikipedia, open-source intelligence is the collection and analysis of data gathered from open sources (covert sources and publicly available information) to produce actionable intelligence. As you can infer from the definition, OSINT is a vast topic, and the best way to understand such broad topics is through concrete, narrow-scoped practical examples. In this blog post, I’d like to share one of the approaches on how OSINT techniques can be applied to bug bounty hunting for products with publicly hosted code on GitHub, using the awesome open-source project Grafana as an example. Read on!

Speaking of metrics and Grafana, this popular project gets a major update too. As shown in the image above, Grafana is a data visualisation and composable observability platform. With Grafana you can query, visualise, alert on, and understand your metrics wherever that data may sit. The latest update adds lots of new features and enhancements such as a slightly refreshed UI, reducing the set of fields that could trigger an alert state change, the removal of Loki's API restrictions on resource calls, and lots more. Check out all the changes in the changelog.

Implement health checks and monitoring to ensure the availability and performance of your microservices. Use tools like Prometheus, Grafana, or NestJS built-in health checks.

In this article, we’ll look at one of the ways to monitor the InterSystems IRIS data platform (IRIS) deployed in the Google Kubernetes Engine (GKE). The GKE integrates easily with Cloud Monitoring, simplifying our task. As a bonus, the article shows how to display metrics from Cloud Monitoring in Grafana.

Kubernetes Documentation: https://kubernetes.io/docs/home/ Kubernetes Tutorials: https://kubernetes.io/docs/tutorials/ Kubernetes Community: https://kubernetes.io/community/ Prometheus: https://prometheus.io/ Grafana: https://grafana.com/ Elasticsearch: https://www.elastic.co/elasticsearch/ Kibana: https://www.elastic.co/kibana Helm: https://helm.sh/ Prometheus Helm Chart: https://github.com/prometheus-community/helm-charts/tree/main/prometheus Grafana Helm Chart: https://github.com/grafana/helm-charts/tree/main/grafana Elasticsearch Helm Chart: https://github.com/elastic/helm-charts/tree/main/elasticsearch Kibana Helm Chart: https://github.com/elastic/helm-charts/tree/main/kibana RBAC: https://kubernetes.io/docs/reference/access-authn-authz/rbac/ Network Policies: https://kubernetes.io/docs/concepts/services-networking/network-policies/ StatefulSets: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/ DaemonSets: https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/ Taints and Tolerations: https://kubernetes.io/docs/concepts/scheduling-eviction/taint-and-toleration/ Custom Resource Definitions (CRDs): https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/ Operators: https://kubernetes.io/docs/concepts/extend-kubernetes/operator/

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.