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@kala shared a link, 2 months 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, 2 months 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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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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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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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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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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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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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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@kaptain shared a link, 2 months 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.
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Debug Builds with Visual Studio Code

Docker droppedBuildx debuggingfor VS Code. Set breakpoints in your Dockerfiles. Peek into image layers. Even jump into an interactive shell mid-build. It runs on theDebug Adapter Protocol, so editors likeNeovimandJetBrains IDEscan join the party too... read more  

Debug Builds with Visual Studio Code
Grafana Tempo is a distributed tracing backend built for massive scale and low operational overhead. Unlike traditional tracing systems that depend on complex databases, Tempo uses object storage—such as S3, GCS, or Azure Blob Storage—to store trace data, making it highly cost-effective and resilient. Tempo is part of the Grafana observability stack and integrates natively with Grafana, Prometheus, and Loki, enabling unified visualization and correlation across metrics, logs, and traces.

Technically, Tempo supports ingestion from major tracing protocols including Jaeger, Zipkin, OpenCensus, and OpenTelemetry, ensuring easy interoperability. It features TraceQL, a domain-specific query language for traces inspired by PromQL and LogQL, allowing developers to perform targeted searches and complex trace-based analytics. The newer TraceQL Metrics capability even lets users derive metrics directly from trace data, bridging the gap between tracing and performance analysis.

Tempo’s Traces Drilldown UI further enhances usability by providing intuitive, queryless analysis of latency, errors, and performance bottlenecks. Combined with the tempo-cli and tempo-vulture tools, it delivers a full suite for trace collection, verification, and debugging.

Built in Go and following OpenTelemetry standards, Grafana Tempo is ideal for organizations seeking scalable, vendor-neutral distributed tracing to power observability at cloud scale.