Just finished a quick conversion from octopress to hugo, the hugo learning curve was a little high, as it doesn’t have a ton of opinions about your site; unlike octopress. But with the help of these two blogs, and the hugo site documentation I have almost everything working. Nathan Leclaire Parsia Hakimian Hugo Documentation
Openstack provides fantastic capabilities Enterprise companies can leverage to manage their infrastructure in addition provide supportive capabilities that applications can directly take advantage of like Swift and Keystone. As a whole open stack has a rich suite of tools that make it very compelling for enterprise companies to run their infrastructure on. The one area where open stack falls short is an application orchestration. That being said, it does have a project called Heat which attempt to fill this gap, but the adoption of heat as an application deployment platform and orchestration system has been lacking.
The 1.2 release of Kubernetes added a new feature called ConfigMap which provides mechanisms to inject containers with application configuration data. Injecting configuration files works great for most applications but the new ConfigMap feature comes with the ability to not only provide an initial configuration when the container starts, but also to update the configuration in the container while it’s running. In this post I’ll show you how to write a microservice to take advantage of the updated configuration and reconfigure your service on the fly.
If you are running the CoreOS beta channel, you should already have kubelet installed, but if you are running stable channel like me and wish to play with the latest and greatest kubernetes and deploy a non trivial sized cluster, read on.
I’ve been working on building and installing Kubernetes from scratch and during this process I followed a guide on the CoreOS website called CoreOS + Kubernetes Step By Step. In this guide they demonstrate using cloud-config to install SSL Certs on the core OS operating system. Altho this makes the guide simpler; by doing this I have found it encourages bad behavior. This is because when you trying to scale the solution one immediately starts reaching for a configuration management systems to handle installing a SSL Certs and binaries onto CoreOS workers/masters. This is not what you want!
I picked up pdf copy of Sam Newman’s book, Building Microservices. Since I’ve had some experience with SOA and microservices I thought I’d take a look. I’m really glad that I did, it’s a great book! The following are some quotes from the book and my thoughts on the subject.
“With micro-services, we can make a change to a single service and deploy it independently of the rest of the system.” — If multiple services rely upon a single service, you can’t just change it inside a vacuum, deploy it and expect dependent systems to never have problems.
Due to the collaborative nature of git; over time I begin to accumulate quite a few branches and working closely in a team compounds this problem. Remembering what branch needs to be merged, and what branches need a pull can tax the little grey cells.
The following instructions are for setting up devstack in a VirtualBox VM.
First we install the python cinderclient module
These instructions have only been tested on Precise Pangolin
Since the US observes Daylight Savings; every year we take 1 hour from the spring and give it to the fall. As the old adage goes we spring forward in the summer, and fall back in the winter. When we fall back, which is at 2:00 AM on the first Sunday in November we introduce the ambiguous hour. This year the ambiguous hour lands on November 6th. The hour is ambiguous because at 1 minute after 2:59 it’s 2:00 AM again. Even tho it was 2:00 AM 1 hour ago….
To understand why this is might cause problems,
Standardization is a tool used by companies to make their resource pool more flexible. For Example, if project X needs more bodies to ensure it meets a deadline, management has a larger pool to pull from and divert to the suffering project. The other promise is of reliability and consistent metrics; the idea goes – the more things run and look the same, the better your metrics and repeatability will be.