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@kala shared a link, 7 months, 3 weeks ago
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Structured Vibe Coding: A Smarter Way to Build AI Agents with GitHub Copilot

A fresh approach calledstructured vibe codingblends human-style team habits with AI workflows. Specs, GitHub Issues, and Copilot now pull agents into the loop like actual teammates. Powered byGitHub Copilot Coding AgentsandAzure AI Foundry, devs can run full AI-driven sprints—spec to PR—right inside.. read more  

Structured Vibe Coding: A Smarter Way to Build AI Agents with GitHub Copilot
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@kala shared a link, 7 months, 3 weeks ago
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OpenAI Needs $400 Billion In The Next 12 Months

OpenAI, Broadcom, NVIDIA, and AMD say they’ll deploy10GWof AI compute by end of 2026. That includes custom chips and slews of 1GW data centers. What they didn’t say: where, when, or how. No sites named. No shovels in dirt. OpenAI alone aims for250GW by 2033—a moonshot that needs$400Bin the next 12 m.. read more  

OpenAI Needs $400 Billion In The Next 12 Months
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@kala shared a link, 7 months, 3 weeks ago
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Claude Skills are awesome, maybe a bigger deal than MCP

Anthropic releasedClaude Skills—a lean way to snap specialized instructions and scripts into Claude without bloating the prompt. Each “skill” lives in a folder with Markdown and optional code. Frontmatter tags tell Claude when to load what. No need to cram everything into the context window—Claude g.. read more  

Claude Skills are awesome, maybe a bigger deal than MCP
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@devopslinks shared a link, 7 months, 3 weeks ago
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How AI can help your DevSecOps pipeline

AI is sliding into DevSecOps and turning security into less of a slog. Tools likeDarktrace PREVENT,CrowdStrike Falcon, andMicrosoft Security Copilotaren't just watching—they're flagging weird behavior, proposing fixes, and unclogging patch pipelines inside CI/CD. The shift:DevSecOps is on its way to.. read more  

How AI can help your DevSecOps pipeline
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@devopslinks shared a link, 7 months, 3 weeks ago
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How Shopify Handles 30TB of Data Every Minute with a Monolithic Architecture

Shopify handles billions of Black Friday requests on amodular monolith, built with Ruby on Rails and kept in check byPackwerk. Domain boundaries are enforced. Chaos averted. Inside, it blendsHexagonal Architecture, isolatedPods, and real-time Kafka pipes. The system scales without fracturing into mi.. read more  

How Shopify Handles 30TB of Data Every Minute with a Monolithic Architecture
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@devopslinks shared a link, 7 months, 3 weeks ago
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How I Block All 26 Million Of Your Curl Requests

A developer built a razor-sharp TLS fingerprinting and blocking tool—all in kernel space—witheBPFandXDP. It hooks into incoming packets, scrapes TLS Client Hello messages, and cranks out simplified JA4-style hashes from their cipher suite lists. The fun part? It's running under tight stack limits, s.. read more  

How I Block All 26 Million Of Your Curl Requests
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@devopslinks shared a link, 7 months, 3 weeks ago
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Migrating to Hetzner - We saved 76% on our cloud bills

DigitalSociety ditched AWS and DigitalOcean. Swapped the comfort of cloud for full control onHetzner, built onTalos Linux. PostgreSQL? Now running onCloudNativePG. Traffic flows throughIngress NGINXwithExternalDNShandling the names. The payoff: monthly costs dropped from $449.50 to under $100. ARM v.. read more  

Migrating to Hetzner - We saved 76% on our cloud bills
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@devopslinks shared a link, 7 months, 3 weeks ago
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Hosting Remote MCP Server on Azure Container Apps (ACA) using Streamable HTTP transport mechanism

A fresh setup shows how to runModel Context Protocol (MCP) servers over HTTPinsideAzure Container Apps—stateless, serverless, and ready for real-time jobs like live forex conversion. It pipes in a live API fallback, adds caching, and speaksJSON-RPC 2.0overPOST. You can spin it up withBicep templates.. read more  

Hosting Remote MCP Server on Azure Container Apps (ACA) using Streamable HTTP transport mechanism
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@devopslinks shared a link, 7 months, 3 weeks ago
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CVE-2025-49844 - The Redis CVSS 10.0 vulnerability and how we responded

Report URI closed the door on Redis CVE-2025-49844 fast. They rolled out ACL-based command blocks and jumped to Redis8.2.2, now running on a freshRedis Sentinel-based HA setup. To prove the fix stuck, they ran command counter checks and layered in enforced blocking rules—then pushed it all out fleet.. read more  

CVE-2025-49844 - The Redis CVSS 10.0 vulnerability and how we responded
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@kaptain shared a link, 7 months, 3 weeks ago
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A fully functional Kubernetes cluster with 1 million active nodes.

Pushing Kubernetes to 1M nodes isn’t just hardware—it's architectural judo. Networking flips to exclusive IPv6.Less chatter, more breathing room. etcd hits a wall.Write throughput stalls at scale, so they swap it out. Entermem_etcd, a Rust-built replacement pushing over 1M buffered writes per second.. read more  

A fully functional Kubernetes cluster with 1 million active nodes.
Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.