Senior DevOps & Cloud Engineer with 10+ years of hands-on experience designing, automating, and operating resilient cloud infrastructure on AWS, GCP, and hybrid environments. Passionate about turning complex systems into elegant, self-healing pipelines.
Continuous feed of trending high-traffic interview scenarios, interactive games & tools, and recently published technical articles.
I'm Naveed Ahmed — a DevOps Engineer, Entrepreneur, and lifelong learner based in Pakistan. I completed my BSc in Computer Science from the University of Sindh and have spent the past decade building, migrating, and operating cloud-native infrastructure at scale.
My work spans the full infrastructure lifecycle: from architecting multi-region AWS environments and implementing zero-downtime CI/CD pipelines, to hardening security postures and mentoring junior engineers.
Beyond the terminal, I'm a teacher and social activist — I believe in sharing knowledge and using technology to create opportunities for communities around me.
Architected and engineered a living genealogical archive documenting 1,083 connected records across 45 generations. Delivered zero-downtime AWS EC2 deployment, MariaDB relational data tier, interactive pan/zoom lineage canvas, 3,253-URL XML sitemap, and Schema.org structured data.
Designed and implemented a fault-tolerant, multi-AZ AWS architecture with Auto Scaling groups, Application Load Balancers, and RDS Multi-AZ for zero-downtime operations.
Led end-to-end migration of a complex web application and its production database from Rackspace to AWS using AWS DMS, Route 53 weighted routing, and blue-green deployments.
Built a comprehensive Ansible playbook library for provisioning and configuring web servers, databases, and monitoring agents across hundreds of nodes with idempotent, version-controlled automation.
Moved a high-traffic SEO tools platform from dedicated servers to a fully elastic AWS architecture with Auto Scaling and ELB, cutting infrastructure costs while improving availability.
Architected the complete AWS cloud infrastructure for eQuiz from scratch, including VPC design, IAM policies, secure data storage, and a scalable compute layer.
Developed an automated trading bot in MQL5 for MT5 platform, implementing 15-minute timeframe strategy execution and risk management logic.
Transforming complex multi-cloud and Kubernetes workloads into resilient, automated platforms. Available for technical advisory, open-source collaboration, and architecture discussions.
Whether you have a role to discuss, a complex infrastructure challenge, or just want to say hello — my inbox is always open. I'll get back to you within 24 hours.
Combining my DevOps background with the latest AI tooling to build autonomous agents that can plan, execute, and self-correct infrastructure tasks. Exploring how LLMs + tool use can replace entire runbooks — from incident response to deployment pipelines.
Building agents that autonomously handle on-call alerts, run root-cause analysis, apply fixes, and verify resolution — all without human intervention.
Implementing MCP servers to give AI agents real-time access to AWS, Kubernetes, GitHub, and internal tools — turning LLMs into true infrastructure operators.
Replacing manual runbooks with fully automated, event-driven workflows. If a human is doing it more than twice, it gets automated.
Pipelines where an AI agent decides the deployment strategy, monitors rollout health, and auto-rolls back — no static pipeline YAML required.
Using AI to correlate metrics, logs, and traces — auto-generating incident summaries and suggesting remediation steps directly in Slack.
Natural language → production-ready Terraform. Describe an architecture in plain English, get reviewed and applied IaC with full audit trail.
Over the past year I've been deep-diving into technical analysis — learning to read candlestick patterns, support & resistance, timeframe alignment, and market structure. The 15-minute chart has become my main battleground. But being a DevOps engineer, I couldn't just stop at manual analysis — I had to automate it.
All HTML, CSS, JS and assets stored as static files in a single S3 bucket. Zero servers, zero patching, infinite scale.
Single distribution serving 6 domains from 400+ edge locations worldwide. Sub-10ms latency for most visitors. HTTPS enforced everywhere.
Authoritative DNS for naveedkumbhar.com. Alias records point all 6 domains directly to CloudFront with zero TTL overhead.
Lightweight JavaScript function running at the edge. Routes each subdomain to its correct S3 path based on the Host header — zero latency overhead.
Deep-dive architectural blueprints, production incident runbooks, and scenario-based interview guides drawn directly from 10+ years operating high-scale cloud infrastructure.
Zero-trust, client-side engineering utilities designed for DevOps, SREs, and Platform Engineers. Features an interactive Kubernetes YAML Manifest Generator (Deployments, Services, Ingress, HPAs), YAML Validator, JSON Formatter, JWT Decoder, Base64, Cron Parser, and comprehensive RFC terminal guides with zero server uploads.
Say goodbye to dictionary definitions. Master 970 real production scenarios across Kubernetes, AWS, Terraform, Docker, and Linux with battle-tested CLI runbooks, 60-second elevator pitches, and active recall practice.
Why AI coding is barely 20% of the software lifecycle, how multi-agent factory floors collaborate (Architect, Coder, Tester, SRE), and how autonomous feedback loops transform development.
Why "You build it, you run it" hit a wall, how 4-layer Internal Developer Platforms (IDPs) eliminate cognitive burnout, and how senior engineers upskill for platform engineering roles.
Decode container termination exit codes (Exit 137 OOMKilled, 143 SIGTERM, 1), inspect node kernel dmesg, and resolve startup probe race conditions with step-by-step CLI commands.
Real failure drills: CoreDNS latency spikes under traffic surges, zero-downtime rolling node upgrades, AWS VPC CNI IP exhaustion, and candidate storytelling models.
Hand-curated global technical intelligence on Kubernetes releases, SRE post-mortems, cloud silicon breakthroughs, and autonomous AI engineering. Verified daily at 16:00 UTC.
November 14, 2026 Edition • 13 Stories Live →Microsoft declared full recovery of Microsoft 365 platforms—including Outlook, Teams, and Copilot—following a severe 24-hour global outage that paralyzed corporate communications, government judicial networks, UK NHS healthcare facilities, and airline hubs across more than 70 countries. Microsoft confirmed the outage was triggered by an internal network capacity upgrade and subsequent configuration change that cascaded across core transit routers and SDN control planes, explicitly ruling out cyberattacks or AI-related infrastructure failures.
Researchers at Aikido Security, GitGuardian, and StepSecurity uncovered a massive GitHub supply-chain attack (wfx-loot) in which 4,837 hijacked accounts (including tokens leaked via .git/config files from the Fly.io GitHub App) opened probe PRs titled docs: dependency audit notes across 61,764 repositories and executed a 1,500-line shell script in at least 1,806 repos before reverting commits and deleting workflow run logs within 60 seconds. Bypassing GitHub's action_required workflow holds by injecting a postinstall hook into package.json triggered by existing CI npm install steps, the payload dumps runner process memory for unreferenced secrets, harvests OpenAI/Anthropic/Copilot/Cursor keys, exchanges OIDC tokens for AWS/GCP/Azure sessions, mints persistent AWS IAM keys, and exfiltrates archives over Telegram.
The Federal Aviation Administration (FAA) issued a more than four-hour nationwide ground stop across U.S. airports on Friday after a software update to the private communications network linking Air Route Traffic Control Centers caused the system to reboot and crash—three days after the FAA expanded Airspace Intelligence's SMART AI congestion tool nationwide, though both ASI and federal officials confirmed the crash was unrelated to SMART or cyberattacks. Simultaneously, Microsoft apologized as its global Microsoft 365 outage (MO1550821) stretched into a second day disrupting hospitals, governments, and enterprises, attributing the failure to a "network capacity upgrade" rather than cyberattacks or AI agents, while GitHub Copilot separately suffered a 2-hour-22-minute degradation (19:05–21:27 UTC) across GPT-6.1 Terra, GPT-5.6 Sol, and GPT-6 Luna.
Chainguard and GitLab partnered to release minimal, zero-known-CVE GitLab-certified Hardened Images for self-managed GitLab Enterprise Edition (EE), built and signed continuously through the SLSA Level 3-compliant Chainguard Factory with full SBOMs, provenance attestations, and end-to-end GitLab QA certification on every release. Separately, Google's This Week in Open Source roundup highlighted the debut of SandScope for auditing Model Context Protocol (MCP) servers at OpenSSF Community Day Europe 2026 alongside a Linux Foundation study finding that while AI cuts developer task time by up to 52%, maintainers estimate 25% of incoming open-source PRs are low-quality "AI slop" causing 64% slower reviews.
Curated architecture breakdowns, high-scale outage post-mortems, and hands-on Kubernetes runbooks from 10+ years in production. No marketing spam, no fluff.
Step-by-step visual roadmaps for every major DevOps technology — free to view and download. Whether you're just starting out or mapping your next skill, pick a path and go.
Full interactive resume — experience, skills, certifications and education in one clean page.
Practical guides on Kubernetes, AWS, Terraform, Ansible, CI/CD and cloud-native engineering.
10 free browser-based utilities — K8s YAML Generator, YAML linter, JSON formatter, JWT decoder, cron parser, Base64, and RFC syntax guides. 100% private in-browser.
Hands-on tutorials, production incident runbooks (EKS, Karpenter, SSL), architecture blueprints, and autonomous AI operators.
Interactive 24-module Kubernetes learning tracker with checklists — free for everyone.
24-hour curated engineering news covering Kubernetes releases, SRE incidents, cloud silicon, and autonomous AI agents. Plus the weekly Platform & Cloud Dispatch.
Master 1,463+ scenario-based interview questions across Kubernetes, AWS, Terraform, Docker, CI/CD & SRE with candidate storytelling and diagnostic runbooks.
One-stop page for all social, professional, and content links — LinkedIn, GitHub, certifications and more.
8 curated learning roadmaps — Kubernetes, Docker, Linux, Terraform, AWS, MLOps and more. View or download free.
Courses and learning materials from my own journey — starting with the Linux course I completed as an intern at HIST Jamshoro.
Naveed Ahmed is a Senior DevOps & Cloud Engineer with over 10 years of production experience specializing in Amazon Web Services (AWS), Kubernetes container orchestration, Infrastructure as Code using Terraform and Ansible, automated CI/CD pipelines, Linux systems engineering, Site Reliability Engineering (SRE), and autonomous AI agent automation.
Naveed holds the AWS Certified Solutions Architect – Associate certification and has extensive enterprise experience architecting multi-AZ, fault-tolerant cloud environments and high-availability Kubernetes clusters.
Key projects include Mobivists high-availability AWS architecture, Shajjra.com digital genealogy archive across 45 generations, Smallseotools.com auto-scaling migration, zero-downtime database migrations, and autonomous AI DevOps agent workflows.
You can get in touch via email at devops@naveedkumbhar.com (or directly at naveed_kumbhar@hotmail.com), or through LinkedIn at linkedin.com/in/naveedkumbhar.