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ContentUpdates and recent posts about Google Kubernetes Engine (GKE)..
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@varbear shared a link, 1 day, 23 hours ago
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GitHub breach: The development ecosystem is in the hot seat

GitHub is reeling from an infrastructure breach by TeamPCP, highlighting the vulnerability of developer environments. Privileged access was achieved not through traditional perimeter exploitation, but by targeting trusted developer tools like IDE extensions. This incident serves as a stark reminder .. read more  

GitHub breach: The development ecosystem is in the hot seat
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@varbear shared a link, 1 day, 23 hours ago
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AI costs how much? GitHub Copilot users react to new usage-based pricing system.

GitHub began usage-based Copilot billing, and some developers say they used up the AI credits GitHub grants for a month in under 24 hours. Developers burn credits through "premium requests". GitHub counts prompts to advanced models, agent tasks, edits, and some Copilot features against the allowance.. read more  

AI costs how much? GitHub Copilot users react to new usage-based pricing system.
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@kaptain shared a link, 1 day, 23 hours ago
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The Case for VM and Container Consolidation in 2026

With KubeVirt, enterprise platform teams can run VMs and containers on Kubernetes, so separate VM and container platforms remain a choice teams keep through habit... read more  

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@kaptain shared a link, 1 day, 23 hours ago
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Buzzing Beyond Clouds: The Illustrated Children's Guide to Cilium

"Buzzing Beyond Clouds"continues the eBPF adventure with Obee as a Jedi bee, showcasing how Cilium powers networking, cluster mesh, observability, security, and service mesh in the Kubulous galaxy. Each chapter parallels Cilium's real-world functionalities, making complex concepts accessible to all .. read more  

Buzzing Beyond Clouds: The Illustrated Children's Guide to Cilium
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@kaptain shared a link, 1 day, 23 hours ago
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Runtime Observability and Enforcement for Opaque AI Agents with eBPF: Beyond Sandboxes and Approvals

Platform teams should verify side effects at the OS layer, separate from tool approvals and sandbox rules, because engineers cannot treat AI agent harnesses as security boundaries... read more  

Runtime Observability and Enforcement for Opaque AI Agents with eBPF: Beyond Sandboxes and Approvals
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@kaptain shared a link, 1 day, 23 hours ago
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Fixing Ghost Drops: How eBPF Rescued IPv6 Telemetry

In this walkthrough, you use eBPF to patch malformed flow-export packets before the host network stack drops them... read more  

Fixing Ghost Drops: How eBPF Rescued IPv6 Telemetry
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@kaptain shared a link, 1 day, 23 hours ago
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Containers on fire: from container escapes to supply chain attacks

Kaspersky researchers explain how attackers use a compromised container to take over aKubernetescluster or host, with misconfigured APIs and permissions driving most escapes... read more  

Containers on fire: from container escapes to supply chain attacks
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@kala shared a link, 1 day, 23 hours ago
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Qwen3.7-Plus: Multimodal Agent Intelligence

Qwen3.7-Plus is a powerful multimodal agent that seamlessly blends GUI and CLI interactions, excelling in coding, tool use, and productivity workflows. It generalizes across diverse agent frameworks, delivering competitive text performance and strong reasoning abilities across challenging STEM bench.. read more  

Qwen3.7-Plus: Multimodal Agent Intelligence
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@kala shared a link, 1 day, 23 hours ago
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Building a Continuous Conversational Insights Pipeline in BigQuery

This deep dive reveals a cutting-edge conversational analytics pipeline using Google Cloud and BigQuery to tackle multi-departmental data segmentation challenges with a hybrid semantic filtering approach. By pre-segmenting data and running targeted models, the pipeline uncovers granular insights oft.. read more  

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@kala shared a link, 1 day, 23 hours ago
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Top 7 Python Libraries for Large-Scale Data Processing

This article covers Python libraries that make large-scale data processing faster, more scalable, and easier to manage across modern data workflows... read more  

Top 7 Python Libraries for Large-Scale Data Processing
Google Kubernetes Engine (GKE) offers a Kubernetes experience on Autopilot that manages the underlying compute infrastructure without the need for manual configuration or monitoring. It provides container-native networking and security features, prebuilt Kubernetes applications and templates, pod and cluster autoscaling, and automated tools for workload migration. GKE clusters consist of a control plane and nodes that run the services supporting the containers. Autopilot mode manages the complexity of the cluster while allowing you to deploy and run your apps easily. The common uses of GKE include continuous integration and delivery, migrating workloads, and deploying and running applications. GKE pricing is based on the mode of operation, cluster management fees, and applicable multi-cluster ingress fees, with a free tier and a pricing calculator available to estimate costs. You can also connect with Google's sales team to get a custom quote for your organization or start your proof of concept.