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License: MIT License
An adhoc collection of ideas
License: MIT License
As a architect, I want to easily deploy knative onto a k8s cluster, so that building knative services is much quicker later.
No response
As an demo attendee, I want to be able to reference a diagram, so that understanding how the system works at a high level is easier.
No response
As a developer, I want to build a service which is triggered by a scheduled event and publishes the current timestamp, so that down stream services can be triggered by an "unscheduled" event.
No response
As a developer, I want to build a service for processing the timestamp events so that I can mimic calling real services.
No response
As an end user, I want to be able to start new Tic-Tac-Toe games.
No response
As a player, I want to start a new game, so that I can play against either an AI or another human player.
No response
As a dev, I want to implement a reusable package for working with mazes, so that an API service can be created later to expose these capabilities in a language agnostic way.
No response
As a developer, I want to record all events flowing through my services in a redis stream, so that I can have great auditability which can be leveraged to build some automated recovery processes.
No response
As a curious individual, I'd love to be able to see an architecture diagram, so that I can have a better understanding of how the code works based on knowing what it's supposed to achieve.
No response
As a user of RDF, I have a large data set which I want to topologically sort, so that I can more efficiently, and concurrently ingest it into a graph database.
No response
As my future self, I want to review diagrams, so that I can easily recall how everything is supposed to function.
No response
I want to create gRPC based game service for running Tic Tac Toe games.
No response
Example "real-world" scenario:
Let's say you want to recommend sneakers to customers based on the sneakers "similar" customers own. "similar" in this case could be determined by determining how similar customers' "sneaker closets" are. This definition lends itself naturally then to clustering techniques.
Simplification of "real-world" scenario:
Cluster the keys of a multi-valued map based on their difference of keys. Those clusters should end up being collections of keys who have the most similar sets of values.
I want to design a distributed, shortest path finding system using an event sourcing based architecture pattern
No response
As a developer, I want to build a service for abstracting the recording and querying of the event source log, so that other services don't have to duplicate efforts.
No response
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