Merge pull request #14 from NIGMS/AWS&GCP

Architecture Diagram Updates
NIGMS · Oct 29, 2024 · 063beb5 · 063beb5
2 parents f457384 + 3e98592
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diff --git a/AWS/README.md b/AWS/README.md
@@ -40,7 +40,7 @@ Make sure that after you are done with the module, close the tab that appeared w
 
 You will use a database search to locate raw files, which are then stored in Amazon S3. These files are then processed within the AWS Cloud's SageMaker ecosystem using an Amazon SageMaker Notebook. Two Jupyter notebooks execute proteomic analysis submodules: one for primary analysis and another for secondary analysis.  The results of these analyses are then outputted as result files.
 
-![](images/aws-architecture-diagram.png)
+![](images/aws-architecture-diagram.svg)
 
 ## Data 
 

diff --git a/AWS/images/aws-architecture-diagram.png b/AWS/images/aws-architecture-diagram.png
diff --git a/AWS/images/aws-architecture-diagram.svg b/AWS/images/aws-architecture-diagram.svg
diff --git a/GoogleCloud/README.md b/GoogleCloud/README.md
@@ -35,7 +35,7 @@ To clone this repository, [open a Terminal window](https://github.com/NIGMS/NIGM
 
 You will use a database search to retrieve raw files, which are stored in Google Cloud Storage (1). These files are then processed using Jupyter Notebooks with a Python kernel on Vertex AI Workbench (2). The workbench runs two proteomic analysis submodules. The processing results are then stored back into Cloud Storage (3).
 
-![](images/gcp-architecture-diagram.png)
+![](images/gcp-architecture-diagram.svg)
 
 ## Data 
 

diff --git a/GoogleCloud/images/gcp-architecture-diagram.png b/GoogleCloud/images/gcp-architecture-diagram.png
diff --git a/GoogleCloud/images/gcp-architecture-diagram.svg b/GoogleCloud/images/gcp-architecture-diagram.svg