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@varbear shared a link, 3 months, 1 week ago
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The Story of Wall Street Raider

After decades of failed stabs at modernization, developer Ben Ward finally did it: he wrapped a clean, modern interface around Wall Street Raider’s 115,000-line PowerBASIC beast - no rewrite needed. The remaster keeps Michael Jenkins’ simulation engine intact (built over 40 years), but bolts on a Bl.. read more  

The Story of Wall Street Raider
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@varbear shared a link, 3 months, 1 week ago
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Understanding the Go Compiler: The Linker

Go’s linker stitches together object files from each package, wires up symbols across imports, lays out memory, and patches relocations. It strips dead code, merges duplicate data by content hash, and spits out binaries that boot clean - with W^X memory segments and hooks into the runtime... read more  

Understanding the Go Compiler: The Linker
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@varbear shared a link, 3 months, 1 week ago
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Why I’m not worried about AI job loss

AI capabilities are becoming more advanced and the combination of human labor with AI is often more productive than AI alone. Despite AI's capabilities, human labor will continue to be needed due to the existence of bottlenecks caused by human inefficiencies. The demand for goods and services create.. read more  

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@kaptain shared a link, 3 months, 1 week ago
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LLMs on Kubernetes: Same Cluster, Different Threat Model

Running LLMs on Kubernetes opens up a new can of worms - stuff infra hardening won’t catch. You need a policy-smart gateway to vet inputs, lock down tool use, and whitelist models. No shortcuts. This post drops a reference gateway build usingmirrord(for fast, in-cluster tinkering) andCloudsmith(to t.. read more  

LLMs on Kubernetes: Same Cluster, Different Threat Model
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@kaptain shared a link, 3 months, 1 week ago
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The State of Java on Kubernetes 2026: Why Defaults are Killing Your Performance

Akamas just dropped fresh numbers: over60% of Java apps running on Kubernetesstick with default JVM settings. That means sluggish memory use, GC thrash, and CPUs getting choked out. Even with "container-friendly" Java builds out there, most teams still skip setting GC types or heap sizes. Kubernetes.. read more  

The State of Java on Kubernetes 2026: Why Defaults are Killing Your Performance
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@kaptain shared a link, 3 months, 1 week ago
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Migrating from Slurm to Kubernetes

SkyPilot drops a clean interface that blendsSlurmwithKubernetes. AI/ML teams get to keep their Slurm-style comforts - job scripts, gang scheduling, GPU guarantees, interactive workflows - but pick up Kubernetes perks like container isolation and rich ecosystem hooks. It handles the messy bits: pods,.. read more  

Migrating from Slurm to Kubernetes
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@kaptain shared a link, 3 months, 1 week ago
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Zero-Downtime Ingress Controller Migration in Kubernetes

Ingress-nginxis heading for the exits - end-of-life drops March 2026. That puts Kubernetes operators on the hook to swap in a new ingress controller. The migration path? Run both old and new in parallel. Use DNS cutover. Point explicitly with Ingress classes. Done right, the switchover hits zero dow.. read more  

Zero-Downtime Ingress Controller Migration in Kubernetes
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@kala shared a link, 3 months, 1 week ago
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YOLO Mode: Hidden Risks in Claude Code Permissions

A scrape of 18,470 Claude Code configs on GitHub shows a pattern: developers are handing their AI agents the keys to the castle. Unrestricted file, shell, and network accessis common. Among them: - 21.3% let Claude runcurl - 14.5% allowarbitrary Python execution - 19.7% give itgit pushprivileges Tha.. read more  

YOLO Mode: Hidden Risks in Claude Code Permissions
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@kala shared a link, 3 months, 1 week ago
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Adventures in Neural Rendering

A graphics dev took a swing at encoding rendering signals - radiance, irradiance, depth, AO, BRDFs - using tightMLPs in HLSL. They benchmarked size, storage, and runtime cost. Turns out, MLPs beatL2 spherical harmonicsfor packing radiance. But they stumble on irradiance and specular BRDFs. Bring inR.. read more  

Adventures in Neural Rendering
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@kala shared a link, 3 months, 1 week ago
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Why Trying to Secure OpenClaw is Ridiculous

OpenClaw, an open-source autonomous AI agent with full device access, racked up 179K GitHub stars - and walked straight into a security nightmare. It shipped wide open: default ports exposed to the internet, its plugin hub laced with malicious packages. Slapped-on fixes followed, warning labels, Vir.. read more  

Why Trying to Secure OpenClaw is Ridiculous
Botkube is a Kubernetes-centric chatbot that aids in Kubernetes troubleshooting and provides valuable insights for various aspects of Kubernetes operations. This open-source tool integrates with popular messaging platforms like Slack and helps streamline Kubernetes management and problem-solving processes.

Key functionalities of Botkube include:

Alert Notifications: Botkube can be configured to receive and relay alerts from various monitoring tools (e.g., Prometheus, Grafana) directly to your team's communication platform, ensuring prompt incident awareness.

Kubernetes Event Monitoring: It continuously monitors Kubernetes cluster events, offering real-time information on changes and issues within your cluster, such as pod crashes or node failures.

Troubleshooting Assistance: Botkube can provide context-sensitive guidance and suggestions for debugging and resolving common Kubernetes problems, making it a valuable resource for both beginners and experienced Kubernetes users.

Resource Management: It can assist in resource optimization by providing recommendations for scaling deployments, managing resource quotas, and handling updates to your applications.

Security Insights: Botkube can help maintain Kubernetes security by alerting you to security breaches, unauthorized access, and vulnerabilities, allowing you to take immediate action.

Customization: Botkube is highly customizable, allowing you to tailor it to your specific needs and integrate it with other tools and scripts in your Kubernetes ecosystem.

In summary, Botkube serves as a Kubernetes assistant that enhances communication and awareness within your team while providing automated support for troubleshooting, monitoring, and managing your Kubernetes clusters, ultimately contributing to a more efficient and reliable Kubernetes operation.