Merge pull request #325 from Green-Software-Foundation/dev

Publish 2 new Cloud Patterns

docs/catalog/cloud/reduce-network-traversal-between-VMs.md

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+---
+version: 1.0
+submitted_by: yelghali
+published_date: 2024-07-30
+category: cloud
+tags: 
+- cloud
+- network
+- compute
+- kubernetes
+- role:cloud-engineer
+- size:medium
+---
+
+# Reduce network traversal between VMs
+
+## Description
+Placing VMs in a single region or a single availability zone reduces the physical distance between the instances. 
+
+## Solution
+Choose the VM placement that is best for your workload. 
+
+Most cloud providers provide various options, like
+- https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/placement-groups.html
+- https://cloud.google.com/compute/docs/instances/define-instance-placement
+- https://learn.microsoft.com/en-us/azure-stack/hci/manage/vm-affinity
+
+## SCI Impact
+`SCI = (E * I) + M per R`
+[Software Carbon Intensity Spec](https://grnsft.org/sci)
+
+Regarding the SCI equation, reducing network traversal between VMs will impact:
+
+- `E`: By reducing network travel distance, we reduce the amount of energy consumed.
+
+## Assumptions
+- VM placement options provided by cloud providers are adequate for this workload,
+
+## Considerations
+- For business critical workloads, you need to ensure your workload is spread across multiple availability-zones, which may result in more network traversal and increase in your carbon footprint.

docs/catalog/cloud/use-compiled-languages.md

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+---
+version: 1.0
+submitted_by: markus-ntt-seidl
+published_date: 2024-07-30
+category: cloud
+tags: 
+ - cloud
+ - role:cloud-engineer
+ - size:small
+ - programming-language
+
+---
+
+# Use compiled languages
+
+## Description
+
+Interpreted languages need to be parsed, compiled and executed when the application starts or a workload arrives. This tends to be more energy heavy then when a compiled language is used. The compilation is then only done once, saving on resources.
+
+## Solution
+
+Use compiled languages (like Go, Rust, Java or others) whenever possible or compile interpreted languages.
+
+
+## SCI Impact
+
+`SCI = (E * I) + M per R`  
+[Software Carbon Intensity Spec](https://grnsft.org/sci)
+
+Concerning the SCI equation, use compiled languages will impact as follows:
+
+- `E`: Running compiled binaries is more energy efficient and uses less energy which outweighs the energy consumed in compiling it to binary upfront
+- `M`: The embodied carbon emissions will be reduced, as compiled binaries tend to be smaller then the sources they are compiled from
+
+## Assumptions
+
+- There is the assumption that the execution environment allows usage of compiled languages, this is not always the case (for example web browsers)
+- Use benchmarks to determine if the application use case benefits from using a compiled language.
+
+## Considerations
+
+- Some interpreted languages provide ways to be compiled into binary (for example GraalVM for Java, Python and more)
+- Consider factoring in compile time when doing benchmarks 
+
+## References
+
+- [One Carbon intensity benchmark](https://greenlab.di.uminho.pt/wp-content/uploads/2017/10/sleFinal.pdf)
+