This post is a repost of an article I had on a previous incarnation of this blog. I hadn't intended to transfer it over, as the technology is old now (ANTLR is on version 4), but I recently came acros a slide deck online, where the post was referenced, so I am reposting in case anyone was looking for it. There are 3 components to a really useful software development technology: innovative features, clear and comprehensive documentation, and solid tools. The recent release of ANTLR v3.0 is a perfect example of this. This parser generator tool has all 3 components and each component is done superbly. ANTLR is a parser generator tool that is capable of targeting multiple output languages. Out of the box it will generate Java, Python, C, C#, or Ruby code for parsers. Other target languages are possible if the code generators are written. Amongst its cool features are: LL(*) parsing: This is an extension to the normal, top down with looka
Just thought I would share a blog post on how Amazon does continuous deployment. The title of the article highlights a key goal: faster deployment of completed features. This is a key metric that identifies high performing teams, i.e., deployment latency. In her book, Accelerate: The Science of Lean Software and DevOps, Nicole Fosgren identified this as one of four highly predictive metrics for high performing software teams. The section on risk management is especially worthwhile. The risk reduction strategies mentioned in the article can be implemented with AWS Code Pipeline and/or Kubernetes Deployments. https://aws.amazon.com/builders-library/going-faster-with-continuous-delivery/