Merge pull request #97 from HoussemDellai/backend-pool-load-balancing…

…-terraform

added new lab backend-pool-load-balancing-terraform

.gitignore

@@ -144,3 +144,42 @@ dmypy.json
 #policy-updated.xml
 !.vscode/README.md
 !.vscode/settings.json
+
+# Local .terraform directories
+**/.terraform/*
+
+# .tfstate files
+*.tfstate
+*.tfstate.*
+
+# tfplan files
+*tfplan
+*tfplan.json
+
+# ignore .terraform.lock.hcl
+*.terraform.lock.hcl
+
+# Exclude all .tfvars files, which are likely to contain sentitive data, such as
+# password, private keys, and other secrets. These should not be part of version 
+# control as they are data points which are potentially sensitive and subject 
+# to change depending on the environment.
+#
+# *.tfvars
+
+# Ignore override files as they are usually used to override resources locally and so
+# are not checked in
+override.tf
+override.tf.json
+*_override.tf
+*_override.tf.json
+
+# Include override files you do wish to add to version control using negated pattern
+#
+# !example_override.tf
+
+# Include tfplan files to ignore the plan output of command: terraform plan -out=tfplan
+# example: *tfplan*
+
+# Ignore CLI configuration files
+.terraformrc
+terraform.rc

labs/backend-pool-load-balancing-terraform/README.MD

@@ -0,0 +1,30 @@
+# APIM ❤️ OpenAI
+
+## [Backend pool Load Balancing lab](backend-circuit-breaking.ipynb)
+
+[![flow](../../images/backend-pool-load-balancing.gif)](backend-pool-load-balancing.ipynb)
+
+Playground to try the built-in load balancing [backend pool functionality of APIM](https://learn.microsoft.com/azure/api-management/backends?tabs=bicep) to a list of Azure OpenAI endpoints.
+**This is a typical prioritized PTU with fallback consumption scenario**. The lab specifically showcases how a priority 1 (highest) backend is exhausted before gracefully falling back to two equally-weighted priority 2 backends.
+
+### Result
+
+![result](result.png)
+
+### Prerequisites
+
+- [Python 3.12 or later version](https://www.python.org/) installed
+- [VS Code](https://code.visualstudio.com/) installed with the [Jupyter notebook extension](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter) enabled
+- [Azure CLI](https://learn.microsoft.com/cli/azure/install-azure-cli) installed
+- [An Azure Subscription](https://azure.microsoft.com/free/) with Contributor permissions
+- [Access granted to Azure OpenAI](https://aka.ms/oai/access) or just enable the mock service
+- [Sign in to Azure with Azure CLI](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively)
+
+### 🚀 Get started
+
+Proceed by opening the [Jupyter notebook](backend-pool-load-balancing.ipynb), and follow the steps provided.
+
+### 🗑️ Clean up resources
+
+When you're finished with the lab, you should remove all your deployed resources from Azure to avoid extra charges and keep your Azure subscription uncluttered.
+Use the [clean-up-resources notebook](clean-up-resources.ipynb) for that.