News & Innovation
Stay up to date with the latest in technology and innovation
The Missing Layer in the SaaS Stack: Capability Platforms
If you look across many SaaS products, you’ll notice something interesting. Different products often end up building the same infrastructure features: scheduling email logging calendar sync contact sync activity timelines These features appear in many types of software: CRMs ATS platforms customer success tools vertical SaaS products But in most cases they are not the core value of the product. They are infrastructure. And yet many SaaS teams still rebuild them from scratch. The Repeated Work in
Understanding Grafana: A Comprehensive Guide for Beginners
title: Understanding Grafana: A Comprehensive Guide for Beginners published: false tags: [Grafana, Monitoring, Data Visualization, Beginners, DevOps] Understanding Grafana: A Comprehensive Guide for Beginners Introduction graph TD A[Grafana] --> B[Open Source] A --> C[Data Visualization] A --> D[Monitoring] A --> E[Alerting] A --> F[Dashboard Creation] A --> G[Supports Multiple Data Sources] G --> H[Prometheus] G --> I[Graphite] G --> J[Elasticsearch] G --> K[MySQL] G --> L[PostgreSQL] Grafana h
Trackless Links: Building a Safari Extension for Automatic URL Cleaning
Every link you click carries invisible baggage. Those cryptic strings at the end of URLs -- utm_source, fbclid, gclid, twclid -- are tracking parameters. They tell advertisers where you came from, what you clicked, and how to follow you across the web. Most people never notice them. But once you do, they are everywhere. The Problem A typical tracked URL looks like this: https://example.com/article?utm_source=twitter&utm_medium=social&utm_campaign=spring2026&fbclid=IwAR3x... Strip the
Designing Detection‑as‑Code Without a SIEM
Most people learn detection engineering inside a SIEM. I wanted to learn it without one. Not because SIEMs aren’t useful, but because they often hide the real thinking behind dashboards, connectors, and pre‑built rules. So I built BluePhoenix, a detection‑as‑code lab designed to answer a simple question: What does detection engineering look like when you remove the platform and focus purely on behaviour, logic, and engineering discipline? Why I Built This I wanted to understand detection enginee
Portainer vs Yacht: Docker Management UIs
Quick Verdict Portainer is the better choice for most self-hosters. It covers the full Docker surface — containers, images, volumes, networks, stacks, and multi-host management — with active development and a large community. Yacht is simpler and its app template system is nice for beginners, but development has slowed significantly and it lacks too many features that you will eventually need. Overview Portainer CE (v2.33.7) is the most widely deployed Docker management UI. It has been actively
Running LLMs Locally on macOS: The Complete 2026 Comparison
If you're a developer building AI-powered applications, you've probably wondered: Can I just run these models on my Mac? The answer is a resounding yes — and you have more options than ever. But choosing between them can be confusing. Ollama? LM Studio? llama.cpp? MLX? They all promise local LLM deployment, but they solve fundamentally different problems. After running all of these tools on Apple Silicon Macs for development work, here's the no-nonsense breakdown. Why Run LLMs Locally? Before di