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@kala added a new tool Magika , 4 months ago.
News FAUN.dev() Team
@kala shared an update, 4 months ago
FAUN.dev()

Google’s Cloud APIs Become Agent-Ready with Official MCP Support

Apigee Google Cloud Platform Google Kubernetes Engine (GKE) BigQuery

Google supports the Model Context Protocol to enhance AI interactions across its services, introducing managed servers and enterprise capabilities through Apigee.

 Activity
@devopslinks added a new tool BigQuery , 4 months ago.
News FAUN.dev() Team
@devopslinks shared an update, 4 months ago
FAUN.dev()

AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments

Datadog Amazon CloudWatch Dynatrace New Relic Amazon Web Services

AWS introduces an autonomous AI DevOps Agent to enhance incident response and system reliability, integrating with tools like Amazon CloudWatch and ServiceNow for proactive recommendations.

AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments
 Activity
@devopslinks added a new tool ServiceNow , 4 months ago.
Story
@laura_garcia shared a post, 4 months ago
Software Developer, RELIANOID

The UK raises the bar on digital security

With cyberattacks on the rise, the Product Security and Telecommunications Infrastructure (PSTI) Act marks a major step toward making connected technology secure by design. In our latest article, we explain: What the PSTI Act requires Why it matters beyond consumer IoT How it signals a global sh..

Story Palark Team
@shurup shared a post, 4 months ago
@palark

New CNCF Sandbox projects in 2025: From Podman to CloudNativePG

Kubernetes

Each year, 25-30 new Open Source projects related to the Cloud Native ecosystem are accepted to the CNCF Sandbox. In January 2025, there were 13 additions, with four of them donated by Red Hat. Here's the list of these newly added CNCF projects: - Podman Container Tools (security-focused Docker alte..

CNCF Sandbox projects in January 2025
Story
@sancharini shared a post, 4 months ago

CI Testing Best Practices for Reliable and Fast Builds

As software teams adopt continuous integration, build speed and reliability become critical success factors. CI testing plays a central role in ensuring that every code change is validated quickly and consistently before it moves further down the delivery pipeline. Without clear practices, however, ..

Story FAUN.dev() Team Trending
@eon01 shared a post, 4 months, 1 week ago
Founder, FAUN.dev

Announcing FAUN.sensei() — Self-paced guides to grow fast — even when tech moves faster.

Docker GitLab CI/CD Helm Kubernetes GitHub Copilot

After months of hard work, FAUN.sensei() is finally alive!

FAUN.sensei()
Rancher is a Kubernetes management platform originally created by Rancher Labs and now maintained by SUSE. It is designed to simplify the deployment, operation, and security of Kubernetes clusters at scale, whether they run on public cloud, private cloud, on-premises data centers, or at the edge.

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.