Table of Contents
Read an article “How Amazon uses formal methods”
Emerging API Ecosystems
blog entry argues that managing on-line openness has become more important for businesses with the emergence of API ecosystems, and, in the future, it will be even more important as blockchain technologies mature. To help in managing on-line openness this post suggests modeling API ecosystem.
A Tool To Generate Runnable Specification Models in TLA+ language
Announcing Support for Ethereum
Sbuilder Roadmap v1
Using Sbuilder to Model a Salesforce Application
Tla-sbuilder Salesforce API plugin User’s Guide
Using Sbuilder to Model Business IT Systems
post examines TLA+tools model checker performance, as a number of states processed per second, when model checking formal models generated by Sbuilder. It finds the performance to be CPU bound, but scalable to match real world applications.
The blog entry demonstrates, how Setups in Sbuilder can be used to manage state space explosion, and associates setups with Use Case Slices to make the idea of managing state space size more comprehensible for developers. Ideally, a Use Case Slice, identified in development, is configured as an Sbuidler Setup and added into a repository for Regression Verification. The objective is to increase confidence in application correctness, and to make QA more efficient with faster feed back because a formal model
- can be executed without the need to have it installed on real production environment, and
- the model checker can effectively check all possible executions in the formal model.
A Case For RPSPEC Custom Matcher
post first demonstrates, how RSPEC built-in include matcher works in validating one rule, and presents an extension for validating a set of rules.
Amazon Web Services
How I Learned to Stop Worrying and Love AWS
- part1: entry summarizes tools and services Amazon offers for infrastructure management, and presents a personal opinion, and rationale, how to start using them
- part2 : discusses, how to deal with the complexity of CloudFormation templates, and proposes a solution separating configuration data from AWS templates
- part3: introduces aws-must tool, and shows how, an existing CloudFormation JSON can be transformed, in a step-by-step fashion, to Mustache templates with YAML configuration data
- part1: explains how a YAML configuration can be processed by aws-must tool using aws-must-templates to produce a CloudFormation JSON template.
- part2 : goes trough a scenario starting with installation of aws-must-templates, generating a CloudFormation stack configuration, extending generation process, provisioning CloudFormation stack on Amazon Platform, configuring Test Runner, and using the Test Runner to validate infrastructure correctness
Using OpenSSH on AWS Platform
- post presents an idea to solve challenges in Amazon EC2 Instance IP Addressing. In short, we synchronize Amazon EC2 instance metadata automatically in OpenSSH Client Configuration file allowing SSH connections to be established using names stored in EC2 Tags. We give an example, and use it to introduce a tool, called aws-ssh-resolver, implementing the idea.
blog post demonstrates, how an OpenSSH key can be imported to Amazon platform, how to verify fingerprints, and how to use the keys on a CloudFormation EC2 instance.
Nat Instance on AWS
blog post uses aws-must-templates to create “a VPC with a public subnet and private subnet, and a network address translation (NAT) instance in the public subnet” similar to scenario 2 in Amazon VPC documentation. Focus is in describing steps needed to setup the environment, to create the stack, and to test the provisioned result on Amazon platform.