Agent Sandbox Brings Kernel-Level Guardrails to AI Agents on Kubernetes
Agent Sandbox, a new Kubernetes primitive, was introduced at KubeCon NA 2025 to enhance AI agent management on Kubernetes and Google Kubernetes Engine.
Updates and recent posts about Kubernetes..
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@pixel_og started using tool Kubernetes , 3 months, 1 week ago.
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Docker Desktop 4.50 Supercharges Daily Development With AI, Security, and Faster Workflows
Docker Desktop 4.50 enhances software development with improved debugging, AI integration, and enterprise security features, streamlining workflows and boosting productivity.
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@shurup shared a post, 3 months, 2 weeks ago
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Kubernetes 1.35 new alpha features
The next Kubernetes release, v1.35, is scheduled for December 17th. It should bring 15 new Alpha features, including the following ones: - Gang scheduling support - Mutable PersistentVolume node affinity - Restart all containers on container exits - Consider terminating Pods in Deployments - CSI vol..
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@kaptain shared an update, 3 months, 2 weeks ago
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Kubernetes v1.35: A Deep Dive Into the Biggest Changes Before the December 17 Release
Kubernetes v1.35 release removes cgroup v1 and containerd v1.X support, urging admins to migrate to newer versions and adopt enhancements like in-place Pod updates and OCI image volume support.
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@eon01 published a course, 3 months, 2 weeks ago
Founder, FAUN.dev
Course
@eon01 published a course, 3 months, 2 weeks ago
Founder, FAUN.dev
Observability with Prometheus and Grafana
A Complete Hands-On Guide to Operational Clarity in Cloud-Native Systems
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@eon01 published a course, 3 months, 2 weeks ago
Founder, FAUN.dev
Cloud-Native Microservices With Kubernetes - 2nd Edition
A Comprehensive Guide to Building, Scaling, Deploying, Observing, and Managing Highly-Available Microservices in Kubernetes
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@kaptain shared an update, 3 months, 3 weeks ago
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The Most Absurd (and Brilliant) Kubernetes Cluster at KubeCon 2025
Engineer Justin Garrison showcased a backpack-sized PETAFLOP Kubernetes cluster at KubeCon 2025, demonstrating localized AI capabilities without cloud reliance.
At its core, Kubernetes operates on a declarative model: you define the "desired state" of your application—such as how many replicas should be running or how much CPU they should use - and the system continuously works to maintain that state. If a container crashes or a node fails, Kubernetes automatically detects the discrepancy and restarts or reschedules the workload to ensure zero downtime, providing a self-healing environment that is critical for modern, high-availability systems.
Beyond simple container management, Kubernetes provides a robust ecosystem for networking, storage, and security. It handles service discovery and load balancing internally, allowing containers to communicate seamlessly without hardcoded IP addresses, and orchestrates storage mounting from various providers. By standardizing how applications are deployed and scaled, Kubernetes enables developers to move from local development to global production with consistent and predictable results.
