Swarmlab docs

Application development in a distributed system

Development of Distributed Systems from Design to Application


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= project structure and technologies used
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== Dynamic Structure
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.From -> To
* [*] monolithic -> networking architecture
* [*] static -> Dynamic
* [*] host based -> Service based
* [*] linear -> agile
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TIP: You will learn to code, coordinate and orchestrate a swarm of self-acting nodes.
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== Dynamic Instaces
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image::ROOT:docker-images.png[210,260,float=right]
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Server instances are *platform agnostic container-based applications.*
To build a large - scale distributed application we take advantage of standardized code deployments using Docker containers.
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Docker-based applications can be seamlessly moved from local development machines to production deployments
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== Dynamic networks - Swarm
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image::ROOT:gynamic-swarm.png[320,540,float=right]
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*From Code to full-blown systems*
* from a single container on your local machine
* to a running cloud native - container-based environment
* in the simplest and most logical format as possible.
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Services in a dynamic and Scalable Distributed Architecture
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== Datacollector structure
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image::ROOT:swarm-poc1.png[230,280,float=right]
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* (red) Redisserver
** redis sync for readmongo_service and dummy_service
* (blue) readmongo_service
** reads data from mongodb (Rest api)
*** 1. Webclient -> readmongo_service
*** 2. readmongo_service <- mongo
*** 3. webclient <- readmongo_service
** reads data from mongodb (socket)
*** Webclient <--> readmongo_service <--> redis <--> readmongo_service <--> mongo
* (green) dummy_service
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** IoT devive or App -> mongo
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TIP: *(red), (blue) and (green) are scalable microservices*
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