The Twelve-Factor App

In the modern era, software is commonly delivered as a service: called web apps, or software-as-a-service. The twelve-factor app is a methodology for building software-as-a-service apps that: Use declarative formats for setup automation, to minimize time and cost for new developers joining the project; Have a clean contract with the underlying operating system, offering maximum portability between execution environments; Are suitable for deployment on modern cloud platforms, obviating the need for servers and systems administration; Minimize divergence between development and production, enabling continuous deployment for maximum agility; And can scale up without significant changes to tooling, architecture, or development practices. The twelve-factor methodology can be applied to apps written in any programming language, and which use any combination of backing services (database, queue, memory cache, etc).

(Full Story: http://12factor.net/ )

Watchy by redbrain

Watchy is a distributed system for Application and Server Monitoring, I’ve always found most solutions be very complicated and hard to manage. Making applications watch process id’s then they stop and the pid has updated and you start the whole thing over again. Watchy has a distributed architecture and communication between the daemon on each server to the dashboard is over udp, meaning if something goes down and comes back up again it just simply doesn’t matter about handling connection issues. It seems to be working very well in my tests at work and i am sure you will love it.

(Full Story: http://ift.tt/1nKqguk )

REST Commander: Scalable Web Server Management and Monitoring — eBay Tech Blog

REST Commander, a parallel asynchronous HTTP client as a service to monitor and manage web servers. REST Commander on a single server can send requests to thousands of servers with response aggregation in a matter of seconds. And yes, it is open-sourced at http://ift.tt/1f7J4zG.

(Full Story: http://ift.tt/1ntiiSm )

ToolsOfTheTrade · GitHub

Few years ago, Joshua Schachter started this thread on HN for discussing hosted useful services: http://ift.tt/1sc1bMw The contribution in thread introduced many interesting SaaS services which can immensely help in deploying services as well as development. It’s been three years since then. What do we have today?

(Full Story: http://ift.tt/1sXe22G )

SkyNet – Machine-to-machine instant messaging (M2M IM) open communications platform & API for the internet of things.

SkyNet allows you to query devices such as drones, hue light bulbs, weemos, arduinos, and server nodes that meet your criteria and send IM messages to 1 or all devices. You can also subscribe to messages being sent to/from devices and their sensor activities.

(Full Story: SkyNet – Machine-to-machine instant messaging (M2M IM) open communications platform & API for the internet of things.)

SkyNet – Machine-to-machine instant messaging (M2M IM) open communications platform & API for the internet of things.

SkyNet allows you to query devices such as drones, hue light bulbs, weemos, arduinos, and server nodes that meet your criteria and send IM messages to 1 or all devices. You can also subscribe to messages being sent to/from devices and their sensor activities.

(Full Story: http://skynet.im/ )

What if Ansible used XML for configuration management?

Here is my point: if you find yourself creating a new programming language, why use data exchange format as the substrate? I have a few guesses. Guess #1: Perhaps you don’t realize that you are creating a programming language. You just went for it. Guess #2: You thought about using an existing language, such as Ruby or Python, but were concerned about users abusing the power. Guess #3: You didn’t want to have to write a parser for a custom language. You chose a data language (e.g. XML or YAML) because it is syntactically easy to parse.

(Full Story: http://ift.tt/1n4qwDs )

How Shippable Has Scaled Docker In A Way It Never Could With AWS VMs | The New Stack

A Docker container is easier to use for developers. It sits on top of the OS. It’s just the code that is updating. Now with Docker, the company gives the first few containers away for free and charges after that. It can now use the Docker technology foundation to start offering more customized services such as parallel processing.

(Full Story: http://ift.tt/1wKEWhi )

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