An interesting senario, I recently encountered - have tried to tear down the context to get to the solution early, and avoid nitty gritty (boring) details. Also, example showns only 2 threads.
I have been getting into this debate quite often; which approach is preferred - Choreography vs Orchestrator. As always, it depends - Here is my take on it…
Modules: App: Like an UI module, where user trigger’s an action like:Create an account Action #N: Specific modules, which has one specific action to be performed like: sending email, mail atm cards - once an account is created.
We were working on a custom algorithm to optimally grab images given a list of area. Every image grabbed is written into an object store with a generated hashkey. The haskkey can be used to query the recorded data - when we would like to play them back.
Idea Add additional functionality into an existing application, with minimal or zero code changes to the exiting application. Also, the package can be consume by any software - irrespective of the language or framework (heterogeneous) it is written in.
I recently ran into a situation where in we have a session and each Session produces a lot of messages (sync) and each message has an associated timestamp and order. This is similar to a blog post (session) and its comments (messages).
While I am getting started with MongoDB for my new project. Here are the few quick notes - based on my readings so far:
One Key Takeaway:
Data accessed together should be stored together
Source Code: docker-try-net48
Goal: Develop a .Net48 application - coding would happen in the host while its run inside the docker - live
Prerequisite: Docker Desktop for windows is up and running and you are using Windows Containers
While working in a development team; being part of the code review is not an optional thing. Depending on the size of the org/team and the # of features in parallel - I am sure, we will get multiple code review requests in a week.
Introduction: Airflow is a platform to programmatically author, schedule and monitor workflows or data pipelines. It was originally developed and open sourced by Airbnb, later joined Apache Software foundation’s incubation program in 2016.
Source Code: PyPlugins
Any infrastructure should always have the capability to extend itself. It would be better if the functionality is added by a contributor - who is not part of the core team.