The Guts of Git

The Guts of Git

Nov 20, 2012

Git is a version control system. We can look at it from that high level. Git is a content tracking system. Some teachers advise us to look at it from that lowered elevation. But I will take you to the very bottom. The floor. The code. The algorithms. The directed acyclic graph of hashed bit sequences made efficient through LZW compression and deferred garbage collection determined by node reachability via hash relationships.

“But why?”, you may ask. “Why go this deep?” Git is a tool that works so well for so many. It mystically corrects anticipated merge conflicts. It’s “where did code come from” results from blame are impressive. The ability to re-write history through rebase is awesome. The globally unique identifier nature of a hash-produced ref is revolutionary.

Uber-geeks are magic-slayers. We want and need to know precisely how things work. Like a hard 50 push-up workout, this study will make working with Git at the daily developer level a fraction of the effort — like a mere ten push-ups. Let’s dig into the guts of Git.

About the Speaker

Matthew McCullough

Matthew is an energetic 15 year veteran of enterprise software development and world-traveling open source educator. Matthew guides the Training efforts at GitHub.com and is author of the Git Master Class series for O’Reilly, co-author of the O’Reilly’s Version Control with Git book, co-author of the Presentation Patterns book, a speaker on the No Fluff Just Stuff tour, an author of three of the top 10 DZone RefCards, including the Git RefCard, and President of the Denver Open Source Users Group.

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AJUG Meetup

Data Microservices with Spring Cloud Stream, Task, and Data Flow

Tuesday, July 19, 2016

Microservice based architectures are not just for distributed web applications! They are also a powerful approach for creating distributed stream and batch processing.

Spring Cloud Data Flow enables you to create and orchestrate standalone executable applications that communicate over messaging middleware such as Kafka and RabbitMQ that when run together, form a distributed stream processing application. It also allows users to create and orchestrate short lived microservices like batch jobs or boot applications that perform a task and then terminate when complete.

This allows you to scale, version and operationalize stream processing and task applications following microservice based patterns and practices on a variety of runtime platforms such as Cloud Foundry, Apache YARN and others.

Location:


Holiday Inn Atlanta-Perimeter/Dunwoody

4386 Chamblee Dunwoody Road,
Atlanta, GA (map)

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