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Updates and recent posts about Rancher..ย Activity
@smh started using tool Kubernetes , 3ย weeks, 1ย day ago.
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@smh started using tool Amazon Web Services , 3ย weeks, 1ย day ago.
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@viktoriiagolovtseva shared a post, 3ย weeks, 1ย day ago
How to Make Your Jira Sprint Planning Really Agile
You know the drill:build a product roadmap in Jira, create your product backlog, review it, update the user stories, come up with a sprint goal before the meeting, and finally, review every story to decide which ones need to be completed this sprint. Easier said than done, right? Well-planned sprint..
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@laura_garcia shared a post, 3ย weeks, 1ย day ago
Software Developer, RELIANOID
Not all ๐ฑ๐ถ๐ด๐ถ๐๐ฎ๐น ๐ฐ๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ฒ๐ are created equal
๐จ Not all ๐ฑ๐ถ๐ด๐ถ๐๐ฎ๐น ๐ฐ๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ฒ๐ are created equal. From ๐๐ฉ, ๐ข๐ฉ, ๐๐ฉ ๐๐ผ ๐บ๐ง๐๐ฆ ๐ฐ๐น๐ถ๐ฒ๐ป๐ ๐ฐ๐ฒ๐ฟ๐๐ and ๐ฐ๐ผ๐ฑ๐ฒ ๐๐ถ๐ด๐ป๐ถ๐ป๐ด, each plays a different role in your security posture. ๐ Encryption is just the beginning: โ Identity validation โ Trust chains (Root โ Intermediate โ Leaf) โ Secure software delivery โ Zero Trust..
At its core, Rancher provides a centralized control plane that allows teams to create, import, and manage multiple Kubernetes clusters from a single UI and API. It supports a wide range of Kubernetes distributions, including upstream Kubernetes, RKE / RKE2, K3s, and managed cloud services like EKS, GKE, and AKS.
Rancher focuses heavily on enterprise needs such as multi-cluster management, role-based access control (RBAC), authentication integration (LDAP, Active Directory, OIDC), policy enforcement, and cluster lifecycle management. It enables platform teams to enforce consistent configurations and security policies while allowing application teams to self-serve Kubernetes resources safely.
The platform also integrates tightly with the broader cloud-native ecosystem. Rancher provides built-in support for Helm, monitoring (Prometheus, Grafana), logging, and GitOps workflows, and works well alongside tools like Argo CD, Fleet, and Longhorn for storage.
Rancher is often used as the foundation for platform engineering initiatives, helping organizations standardize Kubernetes operations, reduce operational complexity, and safely scale containerized workloads across environments.
