Dev Systems
Blue‑Green Strategy for Always‑On TCP Workloads on Azure Container Apps
Scenario: Always‑on workloads in Azure Container Apps continuously pull from a TCP source, process the stream, and push into Azure Managed Redis, which is then consumed by another always‑on Container Apps workload that writes to a database. Challenge: Standard revision traffic splitting isn’t a fit because there’s no HTTP ingress-based routing for this workload pattern as defined here; instead, the approach uses a flag‑controlled activation plus a temporary/mock Redis path to validate a new
AKS cluster with AGIC hits the Azure Application Gateway backend pool limit (100)
I’m writing this article to document a real-world scaling issue we hit while exposing many applications from an Azure Kubernetes Service (AKS) cluster using Application Gateway Ingress Controller (AGIC). The problem is easy to miss because Kubernetes resources keep applying successfully, but the underlying Azure Application Gateway has a hard platform limit of 100 backend pools—so once your deployment pattern requires the 101st pool, AGIC can’t reconcile the gateway configuration and traffic sto
Show HN: I couldn't compare storage topologies without 3 forks, so I built this
I was reading Designing Data-Intensive Applications and kept wanting to run the examples, not just read them. I understand systems through code. So I started building one.Sandstore is a hyperconverged distributed file system in Go. Every node runs control plane, data plane, and Raft consensus together. BoltDB metadata, full POSIX semantics, 2PC chunk lifecycle, gRPC, Kubernetes. The problem I kept hitting was simpler than any of that: I wanted to compare this design against a disaggregated one u
Learn distributed systems by building real infrastructure on your laptop
DistSim is an open-source distributed systems simulator. Each machine is a real Docker container with Ubuntu, a terminal, and full
networking. You install services (Nginx, PostgreSQL, Redis, Kafka, etc.), configure them, connect them, and then break them with
chaos engineering.The motivation: I wanted to learn distributed systems hands-on but didn't want to pay for multiple VPS instances. Blog posts explain
concepts well but you never actually configure a load balancer, set up replication,
Show HN: Vulnerabilities in a Multi-Million ARR Corp as 17(my 5-month journey)
HI I am Dhanush, I have an Hard tech infra to be future protocol ,that's all basically I am poor 17M self taught(by piracy) solo guy I made multiplayer 3d games and now I used Burp Suite on random to understand Communications to services when using a service from a company named "B"(an AI using company for neural phase locking) (they are multi-million ARR company premium only model with trials)I saw some problems here they areTechnical Findings:(All actions are for educational
Show HN: Open-source distributed quantum compute network
Hey HN. I'm Colton (YC S21, ex-Acorns), one of the founders of Postquant Labs. My cofounder Richard is a cryptographer out of Draper Labs and DARPA. We're building Quip.Network, the first distributed quantum compute network. We just opened our testnet and wanted to share it here.The basic problem: quantum hardware is here and already competitive on certain optimization problems, but for most people, there's no way to access it. The machines cost millions and the hardware and resea
Ask HN: Distributed data centers in our basements
This is likely a bit unrealistic, but why can't we make a half rack server to go in someones basement that can also heat up their hot water and use the basement floor as a heat sink as well?<p>It seems like a lot of the blight of data centers is the energy to remove the heat. By distributing them into cool basements and even connecting them into the home heating system we could reduce that making them more efficient.
Show HN: C4 – Separate file description from file content
C4 is a standardized identification system that separates file description from file content so they can be stored or transmitted independently. You can send a small text-based filesystem description by email while the file content is fulfilled by content ID from any source.Running c4 on any path produces a c4m file and stores the content: $ c4 ./projects/HERO/
drwxr-xr-x 2026-03-20T14:30:00Z 12058624 renders/
-rw-r--r-- 2026-03-20T14:30:00Z 4718 scripts/ren
KernelEvolve: How Meta’s Ranking Engineer Agent Optimizes AI Infrastructure
This is the second post in the Ranking Engineer Agent blog series exploring the autonomous AI capabilities accelerating Meta’s Ads Ranking innovation. The previous post introduced Ranking Engineer Agent’s ML exploration capability, which autonomously designs, executes, and analyzes ranking model experiments. This post covers how to optimize the low-level infrastructure that makes those models run efficiently at scale. We introduce KernelEvolve, an agentic kernel authoring system used
Create, edit and share videos at no cost in Google Vids
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Createeditandshare_Google_Vids_.max-600x600.format-webp.webp">New AI capabilities are coming to Google Vids, powered by Lyria 3 and Veo 3.1, like high-quality video generation at no cost and more.
Why we're betting on Durable Sessions
Over the past year, I've spoken to more than 40 engineering teams building production AI agents. Different companies, different frameworks, different use cases. The same conversation kept happening."Our streams break when users switch tabs." "We can't tell if the agent crashed or is still thinking." "We built a custom reconnection layer and it took three months." "Our users can't switch from laptop to phone mid-conversation." Every team described it differently, but they were all describing the
Automate safety monitoring with computer vision and generative AI
Workplace safety has improved dramatically over the past several decades. According to the Bureau of Labor Statistics, occupational injury rates in the United States have declined by more than 60% since the early 1970s. This is driven by stronger regulations, better training programs, and a growing culture of safety-first operations. Despite this progress, the International Labour Organization reports that 395 million workers worldwide still sustain non-fatal occupational injuries each year, and
Kiro powers and Agent Skills in your development workflows
Leveling up your workflows with enhanced context using MCP, steering and hooks? Join us live as we show you how to use these ...
Show HN: I built an OS that is pure AI
I've been building Pneuma, a desktop computing environment where software doesn't need to exist before you need it. There are no pre-installed applications. You boot to a blank screen with a prompt. You describe what you want: a CPU monitor, a game, a notes app, a data visualizer and a working program materializes in seconds.
Once generated, agents persist. You can reuse them, they can communicate with each other through IPC, and you can share them through a community agent store. The
The vanishing "Proof of Work" in software engineering
In 2023, I spent six months building a recommendation engine from scratch using vector search and manual indexing. Today, an entry-level dev can prompt a "weekend project" that looks 90% as good.While I admit that productivity is up, the "signal" for talent is disappearing. Just by looking at resume its incredibly hard to identify difference between a Vibe Coder and a Real Software Engineer. Resumes these days looks more or less similar, same type of skill set, same AI langua
Show HN: A new model architecture because transformers are not enough
Most AI products are built around the same idea.Take a giant model. Add a prompt and hope it does the whole job. The AI equivalent of spray-n-pray.That works great for chatbots for creative outputs like code generation, website design and email writing. BUT, It breaks down fast for developer work that requires highly deterministic output. Think of OCR for KYC at banks or Audio recognition for patient-doctor notes.We have been training SLMs for specific tasks for a while now. During which we kept
Show HN: CMPSBL Software Factory — Free Daily Drop $2.9M
I’m a solo founder. I built a Cognitive Infrastructure Substrate — pure algorithmic code, zero AI API calls inside, no OpenAI dependency, fully patentable. A discovery engine collides software primitives against each other and crystallizes viable configurations into production-ready code.It has autonomously discovered over $4.3B in software capabilities. I didn’t write what I’m sharing. The substrate found it.Neural Arbiter — CJPI 100 | Governance | $3M substrate valuationOne sentence: an AI dec
Ask HN: I burnt out from software development. What now?
When I start to program as a teenager, and it became my job in my early twenties, I was happy over the moon. I never made it my career because of money or prestige, teenagers rarely care about how much things pay in real life.Over the years, I've learned that coding is not the ultimate goal. People who get rewarded the most are not doing coding at all but doing aRcHiTecTure and DeSigN dOcuMents. Or better, manage the ones who write code. Purely writing code is seen as an intermediary step i
Show HN: I built a Bitcoin signing device where the private key is physical
The core problem I kept running into with hardware wallets: the private key exists as a persistent digital object inside a chip. It’s protected — but it exists. That’s the vulnerability. Protection fails; existence is structural.
I built a different model. The private key is encoded as a geometric hole pattern in a titanium plate. A signing terminal reads the plate optically, derives the key transiently in volatile memory, signs the transaction, and discards everything. The plate doesn’t change.
Proactive Reliability Series — Article 1: Fault Types in Azure
Welcome to the Proactive Reliability Series — a collection of articles dedicated to raising awareness about the importance of designing, implementing, and operating reliable solutions in Azure. Each article will focus on a specific area of reliability engineering: from identifying critical flows and setting reliability targets, to designing for redundancy, testing strategies, and disaster recovery.This series draws its foundation from the Reliability pillar of the Azure