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@kaptain shared a link, 7 months, 1 week ago
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How Airbnb Runs Distributed Databases on Kubernetes at Scale

Airbnb runs distributed databases across multiple Kubernetes clusters - each tied to its own AWS Availability Zone. That setup isolates failures down to individual pods and keeps the whole system highly available. They built a custom Kubernetes operator and leaned on EBS volumes with PVCs to smooth .. read more  

How Airbnb Runs Distributed Databases on Kubernetes at Scale
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@kaptain shared a link, 7 months, 1 week ago
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Azure Developer CLI: Azure Container Apps Dev-to-Prod Deployment with Layered Infrastructure

Azure Developer CLI v1.20.0 leveled up Container Apps. Build and push are now split from deploy, so you can finally "build once, deploy everywhere" and mean it. It adds layered infrastructure support, lets you share anAzure Container Registryacross environments, and handles resource dependency seque.. read more  

Azure Developer CLI: Azure Container Apps Dev-to-Prod Deployment with Layered Infrastructure
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@kaptain shared a link, 7 months, 1 week ago
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Zero-Trust Kubernetes: Enforcing Security & Multi-Tenancy with Custom Admission Webhooks

Tools likeOPA Gatekeeper,Kyverno, and custom webhooks slam the brakes on sketchy workloadsbeforethey ever spin up. These controllers aren’t just gatekeepers - they’re enforcers. They check pod configs, block unverified images, and apply live, scoped policies like tenant-awarenetwork isolationandreso.. read more  

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@kala shared a link, 7 months, 1 week ago
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You Should Write An Agent

Building LLM agents - essentially looping stateless models through tools - looks simple. Until it isn't. Peel back the layers, and you hit real architectural puzzles:context engineering, agent loops, sub-agent choreography, execution constraints... read more  

You Should Write An Agent
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@kala shared a link, 7 months, 1 week ago
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AI's Dial-Up Era

AI's reshaping jobs - but not evenly. Some industries will feel the squeeze faster than others. It all comes down to a race: productivity vs. demand. History's playbook? Think textiles, steel, autos. Automation boosted output. Jobs stuck around - as long as demand kept growing. Once markets topped o.. read more  

AI's Dial-Up Era
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@kala shared a link, 7 months, 1 week ago
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How I Use Every Claude Code Feature

Claude Code isn't just generating responses anymore - it's gearing up to run projects. The new direction turns it into a programmable, auditable agent runtime. Think custom hooks, restart logic, planning workflows, GitHub Actions, and subagent delegation tricks like the “Master-Clone” pattern. At th.. read more  

How I Use Every Claude Code Feature
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@kala shared a link, 7 months, 1 week ago
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AI Broke Interviews

AI has revolutionized technical interviews, blurring the line between genuine skill and cheating with perfect solutions and polished answers. In response, companies are shifting back to in-person interviews for real-time cognitive transparency, authenticity constraints, realistic collaboration signa.. read more  

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@devopslinks shared a link, 7 months, 1 week ago
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Why I Like Using Docker Compose in Production

A decade in, and this dev still rides with Docker Compose for production. Why? It just works. Clean deployments, solid uptime, same setup everywhere. No yak-shaving. It shines when you pair it with Git hooks for hands-off, zero-downtime deploys. No need to drag in Kubernetes unless you’re actually w.. read more  

Why I Like Using Docker Compose in Production
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@devopslinks shared a link, 7 months, 1 week ago
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Perfetto: Swiss Army Knife for Linux Client Tracing

Perfetto now pulls in mixed trace data -perfsamples, scheduler events, app-level instrumentation - and lines it all up on a single timeline. One view, no silos. It readstrace-cmd’s text format now, with smoother flame graphs, sharper bottom-up views, and SQL-powered filtering baked right into the UI.. read more  

Perfetto: Swiss Army Knife for Linux Client Tracing
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@devopslinks shared a link, 7 months, 1 week ago
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VMware Cloud Foundation – what’s actually going on?

Broadcom underwent significant changes post-VMware acquisition, with emphasis on subscription-based pricing and portfolio simplification. Prashant Shenoy claims VCF lowered prices by 50%, challenging industry norms about AI workloads on bare metal versus virtualized environments. Integration pointed.. read more  

OpenClaw is an open-source autonomous AI assistant platform that runs locally on user hardware and integrates with popular messaging applications. Originally released in late 2025 under the name Clawdbot, the project was briefly rebranded as Moltbot before settling on the name OpenClaw in early 2026. It enables users to interact with AI models through interfaces like WhatsApp, Telegram, Discord, Slack, and more, allowing the assistant to carry out tasks ranging from calendar management and email handling to automated scripting and workflow execution based on user instructions.

Unlike typical cloud-hosted AI services, OpenClaw emphasizes privacy and control by running on the user’s own machine, giving users choice over infrastructure and data. Its extensible design supports a wide range of integrations and skills, which automates interactions with external tools and services. This flexibility has contributed to its rapid adoption and widespread discussion within the AI community, with media coverage highlighting both its capabilities and associated security considerations.