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I've been running automated provisioning benchmarks across AWS, Azure, and GCP for over a year. Every few hours, a script provisions a fresh managed PostgreSQL instance on each cloud, waits until it's actually accepting connections, records the time, then tears it down. No marketing numbers. No theo

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![Cover Image: A monolithic block breaking into Go microservices] Answer-first: How we escaped Magento's licensing and scaling walls by migrating to a Composable Commerce Platform built on 21 Go microservices, Dapr PubSub, and a 3-phase Strangler Fig strategy without dropping a single order. At exac

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As AI architectures transition from static data processing to real-time agentic monitoring, the data engineering pipelines feeding them must adapt. If you are building an AI-driven anomaly detection model, a security agent, or an automated network observability tool, you can't rely on historical bat

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Transitioning from 6.5 years in IT Infra to DevOps. I built an end-to-end GitOps pipeline on Azure & some Python automation. Looking for architectural roasts.

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The gap between ai evidence observability and proof is where every AI compliance failure lives — and most infrastructure teams don't discover it until someone outside the system asks to verify what happened. Your observability stack told you exactly what your AI system did. Your auditor asked you to

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One of the fastest ways to break a Linux system is this: ❌ Running out of disk space When disk fills up: apps crash logs stop writing deployments fail servers become unstable 👉 That’s why disk usage monitoring is critical in Linux and DevOps. Let’s simplify it. Disk Usage Basics (You Must K

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If your mobile test setup requires opening a properties file and hand-editing the platform, UDID, or app path before every run, that workflow falls apart the moment you move to CI. You can't edit a file inside a pipeline, and a wall of -D flags is its own maintenance burden. The fix is to stop treat

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CapRover is an open-source, self-hosted Platform-as-a-Service that automates application deployment with Docker Swarm, Nginx, and automatic Let's Encrypt certificates. This guide deploys CapRover on Ubuntu 24.04 using Docker Compose, opens the required firewall ports, enables HTTPS for the dashboard

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The questions about Kubernetes are relevant to the IT market.

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IT market relevance

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The worst place to look for your first app idea is nowhere.

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US battery manufacturing output continues to break records

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The 7 Best Free AI Agents in 2026

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Article from my Jervi-writes Installation Prerequisites: brew install python@3.12 uv if macOS/Linux: curl -fsSL "https://github.com/Alishahryar1/free-claude-code/blob/main/scripts/install.sh?raw=1" | sh if ehummm Windows!!: irm "https://github.com/Alishahryar1/free-claude-code/bl

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2-3 sentences on IT market relevance

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Key Takeaways Yes, DevOps is worth learning in 2026 but only if you approach it with the right stack, not just theory. Freshers can realistically start at ₹4–8 LPA in India, with ₹12–20 LPA achievable within 2–3 years. 250,000+ active DevOps job openings exist across India right now. AI is changing

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We've all been there. You're migrating a Node.js project to Go (or Rust, or Python — pick your poison), and you hit the first import: import express from 'express'; import axios from 'axios'; import jsonwebtoken from 'jsonwebtoken'; import bcrypt from 'bcrypt'; import sequelize from 'sequelize';

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I turned 18% skill hit rate into 95% without calling an embedding API once

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If you're a DevOps, SRE, or Cloud engineer in India — or hiring one — the market in 2026 looks very different from a few years ago. Instead of guessing, we analyzed 800+ live DevOps/SRE/Cloud/Platform Engineering roles currently on PuneOps to see what's actually being hired for right now. Here's wha

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Manual code reviews are a bottleneck in fast-moving development teams. Automating initial feedback loops ensures consistency and allows human reviewers to focus on architectural decisions rather than trivial syntax issues. What is an AI-Assisted Code Review? An AI-assisted code review work

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I've spent 25 years building, breaking, and scaling production infrastructure — long enough to watch "DevOps" go from a conference buzzword to a thing companies now rent by the month. That shift is real, and for a lot of teams it's the right call. But the gap between a great DevOps as a Service prov

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Reflecting on two major technical challenges from my backend engineering internship, focusing on fault tolerance, infrastructure, and distributed architectures. Introduction As I wrap up my HNG internship, I’ve been reflecting on the gap between code that "works on my machine" and code tha

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At 2am on a Tuesday, an IP address change in Microsoft infrastructure silently broke our entire integration pipeline at Blue Yonder. Messages stopped flowing between Salesforce and ServiceNow. No errors surfaced in the application logs. The systems reported themselves as healthy. But nothing was mov

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Real-time collaborative coding platform

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Book: Observability for LLM Applications Also by me: Thinking in Go (2-book series) — Complete Guide to Go Programming + Hexagonal Architecture in Go My project: Hermes IDE | GitHub — an IDE for developers who ship with Claude Code and other AI coding tools Me: xgabriel.com | GitHub You shi

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Book: Ship It — The Pragmatic Startup Tech Stack Also by me: Thinking in Go (2-book series) — Complete Guide to Go Programming + Hexagonal Architecture in Go My project: Hermes IDE | GitHub — an IDE for developers who ship with Claude Code and other AI coding tools Me: xgabriel.com | GitHub

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AWS recently announced CDK Mixins, a new AWS CDK feature that lets developers add reusable capabilities like security, monitoring, and configuration to AWS resources. Mixins work across different construct types, making infrastructure code more flexible and reusable. By Renato Losio

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AI Governance: Why Responsible AI Practices Matter in DevOps As a Full Stack Engineer specializing in DevOps, AI Infrastructure, and Cloud, I've seen firsthand the impact of AI on businesses and society. In my experience, AI governance and responsible AI practices are crucial to ensuring t

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Linux Command Line: The 50 Commands Every Developer Needs (2026) You don't need to memorize thousands of commands. These 50 cover 95% of what you'll do daily as a developer. File & Directory Operations # Navigation pwd # Where am I? cd ~/projects

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Getting Flowork running is a single command — no Docker, no accounts, no cloud dependencies. git clone https://github.com/flowork-os/Flowork_Agent.git cd Flowork_Agent ./start.sh start.sh builds the binary on first run (requires Go 1.25+) and serves the control panel at http://127.0.0.1:1987. On

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The problem with most Python roadmaps is that they are either too shallow ("just learn the basics!") or overwhelming lists of 50 tools with no idea of what order to learn them in or how long each stage should take. This post is different. It is written for someone in India in 2026 who wants to go fr

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Over the years, I've worked on multiple small-to-medium applications running on modest infrastructure. A typical setup looks something like: A small EC2 instance A few Docker containers Limited operational budget No dedicated SRE team When something went wrong, my first instinct was usually: doc

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Flowork Agent is a self-hosted operating system for AI agents distributed as a single Go binary—no Docker, no Python, no separate database. It's a practical alternative to cloud-dependent agent frameworks, with intentional trade-offs worth understanding. What You Get Each agent runs as a s

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The agent demo isn't in production because it's not related to the model.

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When I started building my Kubernetes Operator, I wasn't a Go developer. I had deep Kubernetes expertise. Deep database expertise. Seven years of enterprise platform work. But Go? I was learning it as I went, reading documentation, studying patterns, understanding idiomatic practices for the first t

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Most teams don't fail at writing code. They fail at getting it to production reliably, quickly, and without someone staying late to babysit a deployment script. A well-constructed DevOps pipeline is the answer to that specific problem — and once you've set one up properly, you'll wonder how you surv

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PSA for anyone running OIDC between GitHub Actions and AWS/GCP: go check how your sub claim is scoped right now

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The first 90 days of managed CSPM service are typically smooth and straightforward, with no surprises or history of politics or history.

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SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool

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Introduction Modern cloud-native systems generate an enormous amount of telemetry data every second. Applications, containers, Kubernetes clusters, APIs, databases, and infrastructure components continuously emit metrics, logs, and traces to help engineering teams understand system behavio

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Terraform can provision an AWS EC2 instance and set up a Python virtual environment in a single, reproducible run — the whole workflow is declarative and version‑controlled. 📑 Table of Contents 💻 Terraform — How to Provision an EC2 Instance 🔧 AWS Provider — Configuring Credentials 🐍 Python Environ

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As an Engineering Manager in a Platform team, I manage 10 engineers. I'm hiring more. I run weekly 1:1s, facilitate technical decision meetings, screen candidates, moderate retrospectives, and still need to keep up with the delivery of a platform spanning dozens of AWS accounts. Besides the lack of

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DevOps feels endless — what should I focus on after Git, Docker, and Linux?

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One question has been occupying my mind recently: If someone wants to learn DevOps, where should they actually begin? The internet offers thousands of answers. Some recommend starting with Docker. Others suggest Kubernetes. Many point directly to AWS, Azure, or GCP. As someone currently learning D

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Fluency was never the prize. It was the entry fee.

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Your e-commerce platform just crossed 2M daily active users. 70% are in the US, 30% in Europe. Latency complaints are piling up from European users — 380ms average round-trip to your US-East region. Support tickets are up 40%. Black Friday is in 6 weeks. Your infrastructure: single AWS us-east-1 reg

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A 45-minute CI pipeline is a tax on every engineer every day. If your team runs 50 builds per day and each build takes 45 minutes instead of 12 minutes, that is 27.5 hours of wall-clock time lost daily, plus the context-switching cost of engineers waiting for CI before they can merge and move to the

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### Introduction If Infrastructure as Code (IaC) is the concept of managing infrastructure using code, then Terraform is one of the most powerful tools that brings it to life in the real world. Instead of clicking through cloud dashboards, Terraform lets you write what you want once and it builds ev

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Published on: 2026-06-06 Reading time: 8 min Tags: #security #python #audit #devops Overview Over 3 months, I developed and audited 6 Python projects (3 bots + 3 libraries): a FastAPI + Telegram Bot + LLM integration system. I discovered 25 security/code issues and fixed 23 immediately.

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Has relying on AI tools like Claude Code made your Docker, CI/CD, and infrastructure skills weaker?

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Pipeline & Prompts | Byte size guides on DevOps, Cloud and AI From Supply Chain to Container Orchestration When IBM acquired Red Hat, I was working as a technical seller trying to position IBM’s data science platform to clients. Our internal team was containerising CPLEX — a powerful optim

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Static Application Security Testing (SAST) is a critical practice in modern DevSecOps. While tools like SonarQube, Snyk, and Veracode are popular, this article focuses on GitHub CodeQL – a semantic code analysis engine that treats code as a database. We will apply it to a vulnerable Java Spring Boot

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Bandit is a static analysis tool for finding common security issues in Python code. It is easy to use and does not require any changes to your source code. Simply run it from the terminal. Here we have a tutorial on basic functions of bandit PYPI library: First we add the package to our p

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The IT market is highly relevant to the debate on how to revolutionize schooling.

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The Queen bees emerge from special wax chambers in the IT market

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IPv6 zones in URLs are a mistake

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To provide SRE as a service, a team built a center of excellence, introducing Federated SREs and roles like production manager and technical tribe lead. They created a culture of data-driven conversations where SLOs and SLAs were democratised. Surviving growing cognitive load meant continuously simp

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Continuous Profiling Platform. Debug performance issues down to a single line of code

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I'm a full-stack developer pivoting toward Site Reliability Engineering and Platform Engineering. I'm based in Yaoundé, planning to move to Canada later this year, and I've decided the next 5 months are about turning my full-stack background into infrastructure skills that hold up against AI automat

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The 7 hardening techniques that would have prevented the TJ-Actions supply chain attack

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Deploy a standard FastAPI app to AWS Lambda serverlessly in two commands. No Docker. No handler code. No code changes. How do I deploy FastAPI to AWS Lambda without code changes? You add Lambda Web Adapter as a Lambda Layer, and your FastAPI app deploys to AWS Lambda with sam build && sa

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Signed promotion first. Admission control second. Evidence emission everywhere. The boundary was solid. The pipeline shipping into it was not. This is a redacted write-up of a real engagement: a HIPAA CI/CD pipeline overhaul for an AI SaaS vendor, the third engagement after a FedRAMP boundary build

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I built ShopSwift, a Node.js/Express e-commerce API, and wrapped it in a production-grade blue-green deployment pipeline: Docker, Kubernetes, Minikube local validation, NGINX Ingress, GitHub Actions CI, AWS EKS, Amazon ECR, and Prometheus + Grafana monitoring. Zero failed requests across every switc

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After migrating Spark pipelines to Azure Kubernetes Service, two infrastructure settings interacted destructively: spark.kubernetes.local.dirs.tmpfs=true backed shuffle spill with RAM instead of disk, and a hard podAffinity rule forced all executors onto one node. Together, they caused repeated OOM

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confused about CI/CD stages in real companies + when Terraform becomes necessary

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Most developers focus on getting code shipped. I used to be the same way. Write the code. Pass the review. Merge to main. Done. Then I started working with CI/CD pipelines that had security built in, and my perspective changed. A CI/CD pipeline is not just an automation tool. It is the last line of

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In Present Time software development produces far more than just source code. Every build generates artifacts such as: JAR files WAR files NPM packages Python packages Docker images Helm charts NuGet packages Maven dependencies Without proper management, these artifacts become difficult to track,

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You've built something valuable in Python. Maybe it's a proprietary algorithm, a business logic engine, or an AI application with carefully crafted prompts. Now you need to distribute it — but here's the problem: Python source code is essentially an open book. Unlike compiled languages where you shi

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Google Cloud's automated systems suspended Railway's production account without notice, triggering an eight-hour platform-wide outage affecting 3 million users. The cascade took down workloads across all providers including AWS and bare metal because Railway's control plane was hosted on GCP. Railwa

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GitGuardian helps developers and security teams detect secrets (API keys, tokens, credentials) that have been accidentally committed to source code. At the core of our platform sits our secret detection engine: a component that takes raw bytes as input and outputs detected secrets, running against h

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This article discusses how switching from cloud-based AI subscriptions to running models locally with Aspen saved me $500 in annual subscription fees.

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The advent of Large Language Models (LLMs) is reshaping the IT market, with new DSLs (Domain Specific Languages) becoming increasingly popular.

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I come from a mechanical engineering background and started building with Python to solve real problems. Last month I launched PingMon — an API monitoring SaaS (pingmon.ai). Here's what I learned about choosing the right stack for a solo project. Why FastAPI over Django or Flask I needed async from

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AI-assisted notes from my liked-tweets feed, organized around agent loops, cloud agent infrastructure, skill security, memory, and runtime context. Treat this as a source of information, not as a finished essay. Practical takeaways Put validation inside the agent loop. Backpressure forces

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LinkedIn’s Karthik Ramgopal and Prince Valluri discuss leveraging AI as a new execution model for large-scale engineering. They explain how to move beyond fragmented implementations by building platform abstractions for orchestration, structured context, and safe tooling like MCP. They share archite

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The WSL 2 (Windows Subsystem for Linux 2) is gaining faster Windows file system access, which is relevant to the IT career research assistant for a Senior DevOps/Platform Engineer in Germany.

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React is often introduced as a UI library for building components. But in real-world applications, especially at scale, React becomes something much more powerful: a system for managing complexity across state, data flow, performance, and architecture. In this article, I’ll break down advanced React

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The date calculator site with Next.js 14 showcases the capabilities of a platform engineer in Germany.

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For years, observability helped engineering teams understand whether their systems were healthy. If an API failed, logs showed it. If latency increased, dashboards reflected it. If CPU, memory, or disk usage crossed a limit, alerts helped teams respond quickly. Traditional systems usually failed lou

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AI Won't Replace Your DevOps Pipeline — But It Will Expose How Fragile It Is Here's a take I'll defend: the most valuable thing AI tooling has done for DevOps isn't automation. It's diagnosis. And most teams aren't ready for what it reveals. When you start feeding your CI/CD configs, runbo

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The article discusses how to secure Terraform infrastructure using Checkov and GitHub Actions, highlighting the importance of static application security testing (SAST) in preventing security breaches.

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This research item discusses the challenges faced by a large React development team working on a single codebase and proposes using Micro-Frontends via Module Federation to address these issues, such as improved CI/CD build times and independent deployment capabilities.

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This research item discusses implementing GitOps for managing DNS in a homelab environment using Dnsmasq, GitHub, and Bash scripts. It highlights the benefits of automated syncs, version control, security, modularity, and maintainability over manual host entry management.

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This research item discusses the creation of a scalable AWS application architecture, focusing on using Amazon EC2, Load Balancer, and Auto Scaling Groups to handle increased traffic and ensure high availability. It also covers the setup of an Amazon VPC for network isolation and security.

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This research item explains how to set up cloud budget alerts on AWS, GCP, and Azure with three tiers of alerts (50% warn, 80% alert, 100% panic) for each cloud service. It emphasizes the importance of consistent alerting across multiple clouds and provides a structured approach to manage cost overruns.

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Hey HN, we&#x27;re Faisal and Ahmad from Intuned (<a href="https:&#x2F;&#x2F;intunedhq.com">https:&#x2F;&#x2F;intunedhq.com</a>). We’re building a platform for building, deploying, and maintaining browser automations.<p>Customers primarily use the Intuned AI agent to automate websites that don&#x27;

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This is a submission for the GitHub Finish-Up-A-Thon Challenge What I Built PayFusion AI is a full-stack intelligent payment aggregation system that supports multi-channel payment with one QR code using platforms like Alipay, WeChat, USDT, and PayPal. It integrates automatic transfers, fund distrib

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Pipeline & Prompts | Byte size guides on DevOps, Cloud and AI The Day I Realised Linux Was Everywhere When I first started working in Cloud and Infrastructure, I assumed most servers ran Windows — because that's what I grew up using on my laptop. Then I got access to my first cloud environ

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5 Architecture Mistakes I Made as a Full-Stack Developer (And What They Taught Me) After more than 9 years building web and mobile applications with React, Node.js, TypeScript, PostgreSQL, MongoDB, AWS, and GCP, I've made my fair share of mistakes. Some were small. Others required late nights, emerg

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Meta Description: Learn how to build production-grade local computer use agents using Holo3.1's quantized model family (FP8/NVFP4/GGUF). Deep dive into quantization tradeoffs, the perceive-decide-act loop, Python code examples, and multi-agent orchestration patterns — with zero data leaving your ma

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The research item discusses the development of a coordination platform (ACP) for autonomous coding agents to address the challenges of collaboration among multiple AI-driven tools in software projects. The focus is on creating a shared operational state layer that allows these agents to work together without conflicts.

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Slack has outlined how its AI serving infrastructure evolved through four distinct phases, moving from a self-managed Amazon SageMaker deployment to a multi-cloud architecture spanning AWS Bedrock and Google Cloud Vertex AI. By Matt Foster

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TL;DR: A Claude Code marketplace is a GitHub repo with a specific folder structure. You create plugins inside it, push to GitHub, and anyone (including yourself) can install your plugins with two commands. This article shows you how to scaffold one from zero and add your first plugin. A one-command

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affaan-m/ECC — better known as Everything Claude Code — has over 213,000 GitHub stars, making it one of the most-starred repositories on the platform. When something goes that viral, two security events follow automatically: people install it without reading it, and re-uploads start appearing. We lo

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If you use Claude Code daily, you know the problem: after a few weeks you have dozens of sessions scattered across every project you've touched. They live as JSONL files under ~/.claude/projects/, named by UUID. Which one was the JWT refactor? Which one is still mid-task? claude --resume shows you a

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TL;DR Mermaid won the README and the markdown ecosystem; PlantUML won the engineering whiteboard and the IDE. In 2026 they're still the two serious "diagram as code" formats, and which one you should pick depends on where the diagram lives more than what it shows. This post compares them on syntax,

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You push a critical hotfix, switch branches—and your CI is still running 30 minutes later. In my current project, our backend pipeline ran across a massive monorepo (~7,000 unit, ~600 integration, ~150 API E2E tests, ~200MB vendor) — and it bloated to a painful 35+ minutes. It was killing productivi

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I tracked every AI prompt I used for 30 days straight. Most were throwaway. But seven of them came back over and over — and together they save me at least 10 hours a week. These aren't "act as a senior developer" fluff. They're specific, structured prompts with slots you fill in. Copy them, paste th

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The runtime layer nobody talks about: how we built a task-agnostic kernel to operate long-horizon LLM agents (and what's open-source)

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The 30-second pitch for ccglass, a local reverse proxy that captures LLM API traffic.