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49 articles tagged #Infrastructure.
P.01Three tools, three different bets on where complexity belongs. Here's how to choose between BullMQ, Inngest, and Temporal based on what your system actually needs — not what sounds most impressive.
P.02OpenFeature is now a CNCF incubating project with broad SDK support. Here's how to use vendor-neutral feature flags in production — and why the standard matters more than the specific tool you back it with.
P.03Durable Objects solve the coordination problem that makes edge computing hard: how do you maintain consistent state across distributed nodes? Here's how they work and when to use them.
P.04Kafka is the default answer for message queuing at scale. But for teams running fewer than a million messages per day, NATS JetStream offers persistence, delivery guarantees, and a dramatically simpler operational footprint.
P.05A practical guide to setting up metrics collection with Prometheus and visualization with Grafana for backend services — what to instrument, what to skip, and what the dashboards should actually show.
P.06Dev Containers let you define your entire development environment in a JSON file. New team members are productive in minutes, not days. Here's how to set them up properly.
P.07Vulnerability scanning catches known CVEs in your base images and dependencies before they reach production. Here's how to set up Trivy and Snyk, understand their output, and act on what they find.
P.08A bloated Docker image costs you in pull times, storage fees, and attack surface. Here's how to build images that are small, fast to rebuild, and genuinely production-ready.
P.09R2's zero-egress pricing looks compelling on paper. Here's when it actually saves money, when S3's ecosystem still wins, and how to migrate if you decide to switch.
P.10Logs tell you what happened. Error tracking tells you what broke, in what context, for which users. Here's how to set up Sentry properly and avoid the alert fatigue that makes it useless.
P.11The fear of vendor lock-in leads to over-engineering. Here's a practical framework for deciding when to abstract cloud dependencies and when accepting lock-in is the right call.
P.12ClickHouse is a columnar database designed for analytical workloads. It answers queries over billions of rows in seconds that would take minutes in Postgres. Here's what application developers need to know.
P.13HTTP/3 replaces TCP with QUIC, a UDP-based protocol that eliminates head-of-line blocking and handles packet loss better. Here's when that matters, when it doesn't, and how to enable and verify it.
P.14Blue-green and canary deployments give you a way to release software without taking down your service or discovering a bug when it's already affecting everyone. Here's how they work and when to use each.
P.15eBPF lets you attach programs to any kernel hook — network packets, system calls, function calls — without patching the kernel or rebooting. Here's what application developers actually need to know.
P.16Tailscale creates a private mesh network across any combination of cloud servers, developer laptops, and office machines — without port forwarding, firewall rules, or dedicated VPN hardware.
P.17Multi-cloud gets pitched as the default choice for serious companies. The reality is more nuanced — and for most teams, the complexity cost is higher than the lock-in risk it's supposed to prevent.
P.18A practical guide to transactional email for web apps in 2026 — comparing Resend, Amazon SES, and SendGrid, with a focus on SPF/DKIM/DMARC setup and the common deliverability mistakes teams make.
P.19OpenTelemetry is the observability standard now. Most tutorials show you how to install the SDK and emit traces. Fewer explain which signals actually matter for web applications and which add noise without helping you debug anything.
P.20Password resets, invoices, and notification emails are infrastructure. Most developers treat them as an afterthought until a client asks why their welcome emails are disappearing. Here is the full picture.
P.21When your AI agent needs to run the code it writes, you can't let it touch your production servers. Here's how the main isolation options work and when to use each.
P.22HPA scales on CPU and memory. But most production workloads don't scale well on those signals. KEDA, VPA, and Goldilocks fill the gaps that HPA leaves open.
P.23The queries that destroy production Postgres databases share a small set of root causes. Here is how to find them, understand what EXPLAIN ANALYZE is telling you, and fix them without guessing.
P.24Single-provider AI dependencies are a reliability risk. Routing layers like LiteLLM and OpenRouter let you fall back across providers, cap costs, and try smaller models first. Here is the architecture and when it actually matters.
P.25gRPC has been available for years but many teams default to REST without thinking through the tradeoffs. Here's how gRPC works, where it fits, and where it doesn't.
P.26Connection exhaustion is one of the most common production failures for apps that scale. Here's how pooling works, which tool fits which setup, and the configuration decisions that matter.
P.27Site reliability engineering was designed for teams of hundreds. Most of its principles translate directly to teams of 5. Here is what a practical incident response process looks like when nobody has 'SRE' in their title.
P.28Leaked credentials are the most preventable category of security breach. Here is an honest look at when you need a dedicated secrets manager, which tool to pick, and what to do if you're still on .env files.
P.29Service meshes promise secure, observable microservice communication. But most teams that adopt one do so before they need it. Here is how to decide, and what each option actually costs you.
P.30Message queues and event streams solve different problems. Kafka is not always the right answer. Here's how to think through event-driven patterns and choose the right tool for your production workload.
P.31Running containers in production without scanning them is the equivalent of shipping code without running tests. Here's how teams scan images, generate SBOMs, and add runtime protection, from the CI step to the cluster.
P.32Background jobs that crash mid-execution lose all their state. Temporal solves this by making workflows durable state machines that survive process restarts, deploys, and outages. Here's what it looks like in TypeScript and Python.
P.33HashiCorp moved Terraform to a Business Source License in August 2023. OpenTofu forked it under the MPL. Pulumi took a different path entirely. Two and a half years on, the dust has settled enough to make a clear-headed choice.
P.34In March 2024, Redis Ltd. relicensed Redis under a source-available license. Within weeks, the Linux Foundation forked it as Valkey. Two years on, here's how the split played out and what it means for teams choosing an in-memory data store today.
P.35Explore 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.36RAM 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.37Analyzing 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.38How 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.39The 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.40WASI 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.41EditorPickA 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.42AWS 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.43EditorPickMicrosoft ($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.44GitOps 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.45Microsoft, 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.46Alphabet 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.47Amazon 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.48Meta 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.49Astro 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.