From 9ca802691871bf9650f71afedcaf22967f134a8d Mon Sep 17 00:00:00 2001 From: Inaki Fernandez Date: Fri, 26 Jan 2024 11:10:50 +0100 Subject: [PATCH] update --- docs/azure.md | 1 + docs/index.md | 2 +- docs/introduction.md | 2 +- docs/kubernetes.md | 1 + docs/mlops.md | 2 ++ docs/terraform.md | 2 ++ 6 files changed, 8 insertions(+), 2 deletions(-) diff --git a/docs/azure.md b/docs/azure.md index 0d9480bf..1f72b1a6 100644 --- a/docs/azure.md +++ b/docs/azure.md @@ -124,6 +124,7 @@ - [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 diff --git a/docs/index.md b/docs/index.md index d9d94a76..64ef89b2 100644 --- a/docs/index.md +++ b/docs/index.md @@ -332,7 +332,7 @@ A curated list of awesome references collected since 2018. Microservices archite - + diff --git a/docs/introduction.md b/docs/introduction.md index 0fba24b7..9dbf35ad 100644 --- a/docs/introduction.md +++ b/docs/introduction.md @@ -646,7 +646,7 @@ - + ## Tweets diff --git a/docs/kubernetes.md b/docs/kubernetes.md index b61bea0b..2a9704e3 100644 --- a/docs/kubernetes.md +++ b/docs/kubernetes.md @@ -1583,6 +1583,7 @@ will dive into the details of how they work - [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/) diff --git a/docs/mlops.md b/docs/mlops.md index d05aee90..abc12cdc 100644 --- a/docs/mlops.md +++ b/docs/mlops.md @@ -73,6 +73,7 @@ - [==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 @@ -138,6 +139,7 @@ ## 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 diff --git a/docs/terraform.md b/docs/terraform.md index be2a4dc3..187fe41e 100644 --- a/docs/terraform.md +++ b/docs/terraform.md @@ -528,6 +528,7 @@ ### 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 β€” 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