DevOpsLinks

Whether you're building a Backstage catalog or escaping serverless cost traps, this mix hits devs where it matters: code clarity, system resilience, and AI realism. Bonus: Git just turned 20 and still slaps.

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  📊 How to Calculate Productivity in Jira
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  🛠️ Platform Engineering in Action with Backstage
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  ⚡ Serverless Horrors: The hidden cost of "free"
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  🧠 The Best Programmers I Know
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  🧵 How Netflix Uses eBPF to decode flow logs
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  🚦 Argo CD Auto-Sync vs Manual: What works in prod
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  🕵️ Beyond “5 Whys”: Smarter incident learning
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  🧙 Git turns 20: Torvalds reflects on the journey
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  🔐 Handling AWS EC2 Throttling like Pinterest
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  🌀 Post-quantum crypto: Lattices, not fear

📦 That’s signal. No fluff, no filler.

kubectl
Because chaos needs a commander.
Wear the command. Control the storm. ☁️💀

Agile sets the rhythm. Scrum brings the steps. Jira keeps the beat with boards and charts. Teams sync in sprints, guided by roles and checklists. Work flows smooth, smart tools lead the way.

Smart Productivity Dashboard for Jira trumps native tools, weaving together Jira, Confluence, and GitHub data. The result? Juicy team insights and striking comparisons.

Backstage turns your team's tangled web of apps and services into a sleek, searchable playbook. Ownership and dependencies? Tracked like clockwork. No knuckle-busting manual labor needed. Just let YAML take the wheel. Hook up those files to your repos and unleash scripts to keep your catalog fresh. Chaos shrinks; clarity strides in as your company grows.

TLS isn’t safe from quantum—lattices step in. ML-KEM secures encryption, ML-DSA signs it tight. Key exchange gets bigger, not slower. Vectors, matrices, and modular math drive post-quantum security. Cloudflare’s already using it. Now it’s your turn to understand how.

Pinterest battled EC2 network throttling from sneaky microbursts. Unearthed some killer bandwidth insights using ENA metrics to amp up performance. A leap to AWS Nitro instances revealed the real kicker—you need to stay on top of bandwidth constraints and wield fine-grained rate limiting like a pro.

Optimistic locking laughs in the face of traditional locking's sluggishness. It just checks that data remains unchanged before a write—dodging deadlocks and ditching lock overhead like yesterday’s news. Meanwhile, sequential version numbers deliver the knockout punch to timestamps when it comes to maintaining order. They sidestep race conditions and spot missing updates in distributed systems without breaking a sweat.

Netflix tackled the pesky IP address mix-up problem. They turned to FlowExporter and eBPF for snappy in-memory lookups. This approach nails down accurate workload identities. With 5 million flows cruising by every second, this setup practically nukes IP misfires, opening up a treasure trove of service topology insights.

The most important purpose of a post-incident review is to learn from incidents and improve the system. The "5 Whys" technique, while intuitive and easy to explain, may have limitations in facilitating meaningful learning from incidents. Open-ended questions in post-incident reviews can lead to richer learning, systemic improvements, and actionable insights.

AWS Serverless app developers can chop network footprint by 80% using gzip compression, defying Lambda's 6 MB payload ceiling. Sleek tricks like tapping into Amazon S3 for hefty payloads and fine-tuning API Gateway with binaryMediaTypes help devs sidestep payload constraints, shedding network latency and cost.

OpenTelemetry (OTel) delivers observability without handcuffing you to a single vendor. But brace yourself; it's ever-evolving, with a learning curve that rivals your favorite rollercoaster. There’s no coasting—constant updates are your new normal. With its modular design and a thriving community, OTel is the tool for those ready to plunge into the depths of observability.

AI's not just another wrench in the toolbox—it's your new coworker, reshaping Industrial DevOps and revolutionizing complex cyber-physical systems. AI revs up CI/CD pipelines and collaborates with humans like a hyper-disciplined lab partner. It demands careful handling, though. Responsible use is critical to sync its circuits with human ethics.

ServerlessHorrors spins spine-tingling yarns of five- or six-figure bills lurking behind so-called "free tiers." Those sneaky fees laugh in the face of your budget. Watch out for bandwidth traps, sneaky egress costs, and AI code that can't stop itself..

Git 2.49 rolls out the red carpet with upgrades like slicker sparse-checkout patterns and beefed-up partial clone support—just what the code wizards ordered.

Top devs prefer official docs over Stack Overflow. They savor tools thoroughly, not dabbling. Fearless with code, they untangle complexity, and always chase knowledge. Generosity? That's their natural habitat.

GitHub Actions gives you the keys to the car. Use any executable as your shell, not just the usual suspects. Go wild, but hey, keep an eye on those security gremlins lurking in the shadows.

MCP (Model Context Protocol) is shimmying its way into the center stage as the go-to AI communication layer. It’s ditching local servers for cloud-hosted, multi-tenant ones. But the transition isn’t all smooth sailing. It’s wrestling with ever-shifting specs. Right now, remote servers only handle SSE transport and API key authentication. No surprises there. Meanwhile, VS Code is hustling to catch up.

A collection of learning resources for curious software engineers

Generate JSON Schema files based on a Terraform configuration

An opinionated GoLang framework for accelerated microservice development. Built in support for databases and observability.

A Language Server for Postgres

OxiCloud server, efficient and secure way to save all your data

A Virtual Machine Monitor for modern Cloud workloads. Features include CPU, memory and device hotplug, support for running Windows and Linux guests, device offload with vhost-user and a minimal compact footprint. Written in Rust with a strong focus on security.

Display and customize cat images in your terminal

Did you know that Google Docs allows multiple people to edit a document in real time thanks to an algorithm called Operational Transformation (OT)? OT ensures that even if two users type or edit the same paragraph at the same time, the changes merge smoothly without conflicts or data loss. Originally developed for collaborative systems like Google Wave, this algorithm is the magic behind the seamless, live collaboration we now take for granted in tools like Google Docs, Sheets, and Slides.

“You Can't Write Perfect Software. Did that hurt? It shouldn't. Accept it as an axiom of life. Embrace it. Celebrate it. Because perfect software doesn't exist. No one in the brief history of computing has ever written a piece of perfect software. It's unlikely that you'll be the first. And unless you accept this as a fact, you'll end up wasting time and energy chasing an impossible dream.” ― Andrew Hunt, The Pragmatic Programmer: From Journeyman to Master