I found this visual primer to the Application Load Balancing on the Amazon AWS quite interesting. Application Load Balancing is not something I am using just yet, but it’s getting there. With more and more services and pricing schemas available from Amazon, explaining things simply is not as easy as it may seem.
“How we designed our Kubernetes infrastructure on AWS” is a case study of how Atlassian (the kind people behind BitBucket, HipChat, Jira, and a few other popular tools) setup their infrastructure on Amazon AWS.
With all the popularity of the cloud in general and AWS in particular, there is still not enough articles like this one.
AWS Blog lets us know that Amazon has finally implemented one of the most useful features ever – descriptions on Security Groups rules. Previously, one could provide a description to the Security Group only, for example: “Proxy Server Access”. Which wasn’t very useful, as it was almost obvious. But now one can add a description to every rule inside the Security Group. So when you have a Security Group with a bunch of IP address ranges, you can now describe each one of them. For example: “HQ Office”, “UK Office”, “Boss At Home”, etc.
As someone who went through a whole pile of trying and error with Amazon AWS, I strongly recommend reading anything you can on the subject before you start moving your business to the cloud (not even necessarily Amazon, but any vendor), and while you have it running there. “The AWS spend of a SaaS side-business” is a good one in that category.
5 Fancy Reasons and 7 Funky Uses for the AWS CLI has a few good examples of AWS CLI usage:
- AWS CLI Multiple Profiles
- AWS CLI Autocomplete
- Formatting AWS CLI Output
- Filtering AWS CLI Output
- Using Waiters in the AWS CLI
- Using Input Files to Commands
- Using Roles to Access Resources
There also a few useful links in the article, so make sure you at least scroll through it.
I think I’m giving up on even knowing the list and purpose of all the Amazon AWS services, let alone how to use them. Here’s one I haven’t heard about until this very morning: AWS X-Ray.
AWS X-Ray helps developers analyze and debug production, distributed applications, such as those built using a microservices architecture. With X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. X-Ray provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components. You can use X-Ray to analyze both applications in development and in production, from simple three-tier applications to complex microservices applications consisting of thousands of services.
What is an AWS IAM Policy?
A set of rules that, under the correct
conditions, define what
principalor holder can take to specified AWS
That still sounds a bit stiff. How about:
Who can do what to which resources. When do we care?
There we go. Let’s break down the simple statement even more…
Compared to all the AWS documentation one has to dive through, this one is a giant time saver!
In “Why Configuration Management and Provisioning are Different” Carlos Nuñez advocates for the use of specialized infrastructure provisioning tools, like Terraform, Heat, and CloudFormation, instead of relying on the configuration management tools, like Ansible or Puppet.
I agree with his argument for the rollbacks, but not so much for the maintaining state and complexity. However I’m not yet comfortable to word my disagreement – my head is all over the place with clouds, and I’m still weak on the terminology.
The article is nice regardless, and made me look at the provisioning tools once again.
- run frequent actions by using simple commands
- easily explore your infrastructure and cloud resources inter relations via CLI
- ensure smart defaults & security best practices
- manage resources through robust runnable & scriptable templates (see
- explore, analyse and query your infrastructure offline
- explore, analyse and query your infrastructure through time