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Inaki Fernandez
2024-01-26 11:10:50 +01:00
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docs/azure.md
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- [allazureblog.wordpress.com: Azure Bastion vs UDR](https://allazureblog.wordpress.com/2024/01/18/azure-bastion-and-udrs/)
- [medium.com/@mikakrief: Using Azure Service Operator v2](https://medium.com/@mikakrief/using-azure-service-operator-v2-4a1fa1f5e3b8) Azure Service Operator v2 is a Kubernetes operator that enables you to manage Azure resources directly through Kubernetes tooling. It’s designed to simplify the deployment and management of Azure services, allowing developers to use familiar Kubernetes commands (like kubectl apply) to handle Azure resources.
- [blog.cloudtrooper.net: Azure network monitoring with synthetic traffic](https://blog.cloudtrooper.net/2024/01/23/azure-network-monitoring-with-synthetic-traffic/)
- [techcommunity.microsoft.com: Leveraging Azure Event Hub, Microsoft Fabric, and Power BI for Real-Time Data Analytics](https://techcommunity.microsoft.com/t5/educator-developer-blog/leveraging-azure-event-hub-microsoft-fabric-and-power-bi-for/ba-p/4028701)
## Azure Mindmap
docs/index.md
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docs/introduction.md
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</center>
## Tweets
docs/kubernetes.md
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- [dzone: Multi-Container Pod Design Patterns in Kubernetes](https://dzone.com/articles/multi-container-pod-design-patterns-in-kubernetes) In Kubernetes, Pods are the single deployable units. If an application is to be deployed, it must be so in a Pod as a container. Learn how to use multi-container pods.
- [linkedin.com/pulse: Avoid These Kubernetes Anti-Patterns | Pavan Belagatti](https://www.linkedin.com/pulse/avoid-kubernetes-anti-patterns-pavan-belagatti/)
- [medium.com/@ehsan-khodadadi: Patterns and anti-patterns for a reliable Kubernetes infra deployment](https://medium.com/@ehsan-khodadadi/patterns-and-anti-patterns-for-a-reliable-kubernetes-infra-deployment-5724f6749b7a)
- [medium.com/@seifeddinerajhi: Most common mistakes to avoid when using Kubernetes: Anti-Patterns](https://medium.com/@seifeddinerajhi/most-common-mistakes-to-avoid-when-using-kubernetes-anti-patterns-%EF%B8%8F-f4d37586528d)
[![Top 10 Kubernetes patterns](images/top_10_kubernetes_patterns.png)](https://developers.redhat.com/blog/2020/05/11/top-10-must-know-kubernetes-design-patterns/)
docs/mlops.md
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- [==seattledataguy.substack.com: Data Engineering Vs Machine Learning Pipelines==](https://seattledataguy.substack.com/p/data-engineering-vs-machine-learning)
- [semaphoreci.com: Why Do We Need DevOps for ML Data?](https://semaphoreci.com/blog/devops-ml-data)
- [nannyml.com: Automating post-deployment Data Collection for ML Monitoring](https://www.nannyml.com/blog/sdk-nannyml-data-collection-ml-monitoring)
- [aiml.com: Large Language Models Quiz (Medium)](https://aiml.com/quizzes/deep-learning-large-language-models-quiz-medium/)
## MLOps Roadmap
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## AWS ML
- [aws.amazon.com: MLOps foundation roadmap for enterprises with Amazon SageMaker](https://aws.amazon.com/blogs/machine-learning/mlops-foundation-roadmap-for-enterprises-with-amazon-sagemaker/)
- [aws.amazon.com: Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD](https://aws.amazon.com/blogs/machine-learning/promote-pipelines-in-a-multi-environment-setup-using-amazon-sagemaker-model-registry-hashicorp-terraform-github-and-jenkins-ci-cd/)
## Azure ML
docs/terraform.md
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### Terraform and GCP
- [==cloud.google.com: Terraform blueprints and modules for Google Cloud== 🌟](https://cloud.google.com/docs/terraform/blueprints/terraform-blueprints)
- [medium.com/@nanditasahu031: Terraform with GCP Cloud](https://medium.com/@nanditasahu031/terraform-with-gcp-cloud-d25d60a6e740)
- [medium.com/google-cloud: Setting up Config Connector with Terraform & Helm](https://medium.com/google-cloud/setting-up-config-connector-with-terraform-helm-8ce2f45f48a4) What if you could create the necessary service account, assign permissions and annotate it for seamless work with GCP Workload Identity, and deploy it as one Helm release? Well — say hello to Config Connector for GKE
@@ -860,6 +861,7 @@
### Terraform AzureRM
- [hashicorp.com: Terraform AzureRM 3.0 Brings Enhanced Azure Function Support](https://www.hashicorp.com/blog/terraform-azurerm-3-0-brings-enhanced-azure-function-support)
- [registry.terraform.io: Data Source: azurerm_ip_groups (new)](https://registry.terraform.io/providers/hashicorp/Azurerm/latest/docs/data-sources/ip_groups)
## Terraform Code Quality. Terraform Quality Checks