Machine Learning (ML) algorithms are designed to automatically build mathematical models using sample data to make decisions. Rather than use specific instructions, they rely on patterns and inference instead. And the business applications abound. In recent years, companies such Google and Facebook have found ways to use ML to utilize the massive amounts of data they have for more profit.

Ok, not completely true. I also use Stripe, Github, AWS, Heroku, Ghost, AppOptics, Intercom and Mailchimp. And some bookkeeping and tax tools. Don't forget the code editors! But! When I plan my day, I spend most of my time in Trello and Apple's stock Reminders app. I also use Numbers once a week or so. This post is turning out to be click bait. Read on, it's really not. In former jobs I went through probably every project management and productivity tool out there.

Recently I pushed a long overdue feature for Checkly: SSL for customers' public dashboards. This was kinda, sort of, totally missing when I launched and many customers asked for it. Setting up free SSL turned out to be fairly smooth because of Most principles explained here are totally transferable to whatever stack you are using. There are some pretty important gotcha's though, so let's dive in. Customers of Checkly can create public dashboards and host them on a custom domain.

Pulling in data exposed via API is not one of the most common use cases for ELK Stack users but it is definitely one I’ve come across in the past. Developers wrapping their database services with REST API, for example, might be interested in analyzing this data for business intelligence purposes. Whatever the reason, the ELK Stack offers some easy ways to integrate with this API. One of these methods is the Logstash HTTP poller input plugin.

AMMP Technologies runs monitoring for energy systems, usually off mini-grids in Africa. The company uses Grafana to monitor interface with physical objects that are not servers or containers. “It’s interesting how a toolkit for visualizing essentially internet/computer/server metrics is so well-suited to working with real-life streaming data,” AMMP Cofounder Svet Bajlekov said during his talk at GrafanaCon L.A.