SpringerPE

If trees could scream, would we be so cavalier about cutting them down? We might, if they screamed all the time, for no good reason. - Deep Thoughts, by Jack Handey A big part of scaling up an engineering team is getting serious about monitoring and alerts.

In this previous post, I chronicled my evolving understanding of PaaS and how it has taught me the virtues of treating your Platform as an Application (PaaA). Here I documented what I believe a self-respecting platform application should do. In this post I'm going to describe how I've seen PaaA help solve the Dev and Ops "problem"...

Browse the OpenStack training resource library from Mirantis - Find valuable online resources, books, videos and other OpenStack training material.

Lennart Poettering's (the guy behind systemd) opinion on how nowadays distribution and packaging systems should be completely remodelled... You might consider this post heretical, absurd or ingenious - so please read at your own risk ;-)

Systemd documentation, it is getting more and more popular...

Panamax is a containerized app creator with an open-source app marketplace hosted in GitHub.

Even Thoughtworks Chief Scientist spends much more time on automatiing quite simple things with Chef. Not really new stuff for us, but still an interesting read.

TOSCA is intended to be the first standard to describe IT services that go beyond infrastructure as a service, i.e., describing service templates across *aaS layers and connecting them to the resource abstraction layer. Service templates can describe the topology of complex services and applications.

"Define your app's environment with Docker so it can be reproduced anywhere"

"Metal as a Service - MAAS - lets you treat physical servers like virtual machines in the cloud. Rather than having to manage each server individually, MAAS turns your bare metal into an elastic cloud-like resource. What does that mean in practice? Tell MAAS about the machines you want it to manage and it will boot them, check the hardware's okay, and have them waiting for when you need them. You can then pull nodes up, tear them down and redeploy them at will; just as you can with virtual machines in the cloud. When you're ready to deploy a service, MAAS gives Juju the nodes it needs to power that service. It's as simple as that: no need to manually provision, check and, afterwards, clean-up. As your needs change, you can easily scale services up or down. Need more power for your Hadoop cluster for a few hours? Simply tear down one of your Nova compute nodes and redeploy it to Hadoop. When you're done, it's just as easy to give the node back to Nova. MAAS is ideal where you want the flexibility of the cloud, and the hassle-free power of Juju charms, but you need to deploy to bare metal."

"Razor is an advanced provisioning application which can deploy both bare-metal and virtual systems. It's aimed at solving the problem of how to bring new metal into a state where your existing DevOps/configuration management workflows can take it over. Newly added machines in a Razor deployment will PXE-boot from a special microkernel image, then check in, provide Razor with inventory information, and wait for further instructions. Razor will consult user-created policy rules to choose which preconfigured model to apply to a new node, which will begin to follow the model's directions, giving feedback to Razor as it completes various steps. Models can include a handoff to a configuration management system or to another system capable of controlling the node (such as a vCenter server taking possession of ESX systems)."

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Great reading list for course Berkeley CS286: Implementation of Database Systems, Fall 2014.

"Collins exists to drive infrastructure automation. Someone recently asked me to describe collins in a sentence. At Tumblr, it's the infrastructure source of truth and knowledge. Everything about Tumblr production environments is stored and encoded in Collins, and that data is used to drive all of our automation. Sometimes people refer to systems like this as a CMDB, or Configuration Management DataBase. Collins started as a system to manage all of the physical servers, switches, racks, etc in Tumblr production environments. As we started to inventory hardware, IP addresses, software, and so on, we found the API and data gave us an excellent way to drive automation processes. Today Collins can do push button cluster (HBase, Hadoop, web, etc) deployment, drive configuration generation when hardware cluster topologies change, drive infrastructure updates when software configuration changes, and help manage software deploys. Because of the loosely coupled design of Collins, consistently applied conventions are a system requirement. This document serves as a guide to those conventions as well as the basic core concepts of the collins system. If you're just interested in the basic howto or screenshots, click here."