Tag
15 articles tagged #Infrastructure.
P.01Explore the shift towards serverless edge computing in the post-cloud era, focusing on performance improvements, cost savings, and real-world case studies of enterprises leveraging this technology.
P.02RAM prices surged 90% in Q1 2026 as AI data centers consume 70% of global memory. Here's how the shortage impacts developers, hardware costs, and what you can do about it.
P.03Analyzing the February 2026 Cloudflare edge network outage: cascading failures, bypassed canary deployments, R2 and Workers impact. Real architecture lessons for building resilient distributed systems.
P.04How running AI models at the edge enables real-time intelligence for IoT, autonomous vehicles, and smart manufacturing. A developer guide to edge AI platforms, frameworks, and opportunities in 2026.
P.05The EV charging software market is exploding. Learn how developers can build with OCPP, fleet management APIs, payment integration, and smart grid optimization in this booming $100B+ infrastructure sector.
P.06WASI 0.3 introduces native async I/O, stream types, and full socket support to WebAssembly. We analyze the Component Model changes, language support, and why this release finally makes Wasm viable for production server workloads.
P.07EditorPickA deep dive into the India AI Impact Summit 2026 at Bharat Mandapam — $200B in pledged investments, sovereign AI models, the MANAV framework, and what it all means for builders and founders.
P.08AWS and Google Cloud announced cross-cloud interconnect integration with encrypted-by-default networking. After years of vendor lock-in wars, competitors are collaborating. We break down what it means and what it does not.
P.09EditorPickMicrosoft ($17.5B), Amazon ($35B) & Google ($15B) are investing $67.5B in India's data centres. Here's what this AI infrastructure race means for India's tech future.
P.10GitOps adoption hit 64% in 2025, and the next evolution is integrating real-time cost visibility into every infrastructure pull request. We break down why GitOps plus FinOps is the operational model serious teams are adopting in 2026.
P.11Microsoft, Google, Amazon, and Meta are collectively spending $650 billion on AI infrastructure in 2026. We break down what each company is building, why the numbers keep climbing, and what it means for developers.
P.12Alphabet announced $175-185 billion in 2026 capital expenditure, nearly double 2025 spending. Stock dropped 5% as investors question Big Tech's AI spending sustainability, despite Google Cloud revenue spiking 48%.
P.13Amazon reported quarterly revenue beating estimates but stock dropped 10% after-hours as investors digest the company's $200 billion capital expenditure plan for 2026, driven by aggressive AI infrastructure investment.
P.14Meta Compute, OpenAI's 750MW deal, and a projected $3 trillion investment in AI infrastructure. The biggest story in tech isn't about models—it's about who controls the compute.
P.15Astro for the website, Vercel for deployment, Airtable as CRM, Satori for OG images, a separate content repo with GitHub Actions CI — here's every tool in our stack and the reasoning behind each choice.