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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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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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@kaptain shared a link, 2 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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@kala shared a link, 2 months, 1 week ago
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Building a TUI is easy now

Hatchet usedClaude Code, a terminal-native coding agent, to build and ship a real TUI-based workflow manager - fast. Like, days-fast. Powered by theCharm stack(Bubble Tea, Lip Gloss, Huh), it leans hard into CLI-heavy development. Claude Code handled live testing intmux, whipped up frontend views fr.. read more  

Building a TUI is easy now
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@kala shared a link, 2 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, 2 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
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@kala shared a link, 2 months, 1 week ago
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GPT-5.2 derives a new result in theoretical physics

GPT-5.2 Pro spotted something wild: a nonzero gluon scattering amplitude in the half-collinear regime. That’s supposed to vanish, according to standard QFT gospel. Not anymore. OpenAI’s own model backed it up with a formal proof. Humans triple-checked it analytically. And yep - it holds. Now it’s bl.. read more  

GPT-5.2 derives a new result in theoretical physics
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@kala shared a link, 2 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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@devopslinks shared a link, 2 months, 1 week ago
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The future of software engineering is SRE

Agentic coding and no-code tools are everywhere now. Building features? Easier than ever. The harder part is keeping systems solid once they’re out in the wild. The real game:maintainability, reliability, and evolutionunder real pressure - not just building, but keeping it together over time... read more  

The future of software engineering is SRE
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@devopslinks shared a link, 2 months, 1 week ago
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Owning a $5M data center

Comma.ai just dropped the specs on its hand-rolled ML data center. Picture this: 600 homegrown GPU rigs (TinyBox Pros), 4PB of flash. The whole thing trains on a PyTorch stack they built themselves, wired up with a custom model tracker and job scheduler they namedMiniray. Inference runs through dyna.. read more  

Owning a $5M data center
Flask is an open-source web framework written in Python and created by Armin Ronacher in 2010. It is known as a microframework, not because it is weak or incomplete, but because it provides only the essential building blocks for developing web applications. Its core focuses on handling HTTP requests, defining routes, and rendering templates, while leaving decisions about databases, authentication, form handling, and other components to the developer. This minimalistic design makes Flask lightweight, flexible, and easy to learn, but also powerful enough to support complex systems when extended with the right tools.

At the heart of Flask are two libraries: Werkzeug, which is a WSGI utility library that handles the low-level details of communication between web servers and applications, and Jinja2, a templating engine that allows developers to write dynamic HTML pages with embedded Python logic. By combining these two, Flask provides a clean and pythonic way to create web applications without imposing strict architectural patterns.

One of the defining characteristics of Flask is its explicitness. Unlike larger frameworks such as Django, Flask does not try to hide complexity behind layers of abstraction or dictate how a project should be structured. Instead, it gives developers complete control over how they organize their code and which tools they integrate. This explicit nature makes applications easier to reason about and gives teams the freedom to design solutions that match their exact needs. At the same time, Flask benefits from a vast ecosystem of extensions contributed by the community. These extensions cover areas such as database integration through SQLAlchemy, user session and authentication management, form validation with CSRF protection, and database migration handling. This modular approach means a developer can start with a very simple application and gradually add only the pieces they require, avoiding the overhead of unused components.

Flask is also widely appreciated for its simplicity and approachability. Many developers write their first web application in Flask because the learning curve is gentle, the documentation is clear, and the framework itself avoids unnecessary complexity. It is particularly well suited for building prototypes, REST APIs, microservices, or small to medium-sized web applications. At the same time, production-grade deployments are supported by running Flask applications on WSGI servers such as Gunicorn or uWSGI, since the development server included with Flask is intended only for testing and debugging.

The strengths of Flask lie in its minimalism, flexibility, and extensibility. It gives developers the freedom to assemble their application architecture, choose their own libraries, and maintain tight control over how things work under the hood. This is attractive to experienced engineers who dislike being boxed in by heavy frameworks. However, the same freedom can become a limitation. Flask does not include features like an ORM, admin interface, or built-in authentication system, which means teams working on very large applications must take on more responsibility for enforcing patterns and maintaining consistency. In situations where a project requires an opinionated, all-in-one solution, Django or another full-stack framework may be a better fit.

In practice, Flask has grown far beyond its initial positioning as a lightweight tool. It has been used by startups for rapid prototypes and by large companies for production systems. Its design philosophy—keep the core simple, make extensions easy, and let developers decide—continues to attract both beginners and professionals. This balance between simplicity and power has made Flask one of the most enduring and widely used Python web frameworks.