# Azure Batch Optimization | Cloud Efficiency Hub Canonical: https://www.pointfive.co/efficiency-hub/cloud-services/azure-batch 1 documented Azure Batch cost inefficiency, with how to detect it and how to fix it. [Cloud Efficiency Hub](https://www.pointfive.co/efficiency-hub) 1 documented Azure Batch cost inefficiency, with how to detect it and how to fix it. ## 1 inefficiency [All services](https://www.pointfive.co/efficiency-hub#browse-by-service) - Azure Batch CER-0410 ### [Idle Dedicated Nodes in Azure Batch Pools Without Autoscaling](https://www.pointfive.co/efficiency-hub/inefficiencies/idle-dedicated-nodes-in-azure-batch-pools-without-autoscaling) Azure Batch pools are often created with a fixed targetDedicatedNodes value so that jobs can start immediately. Between jobs, and overnight or on weekends, those nodes sit idle but remain allocated VMs with managed OS disks, so they keep... Compute ## More Azure services - [Azure Virtual Machines 12](https://www.pointfive.co/efficiency-hub/cloud-services/azure-virtual-machines) - [Azure Cognitive Services 10](https://www.pointfive.co/efficiency-hub/cloud-services/azure-cognitive-services) - [Azure SQL 10](https://www.pointfive.co/efficiency-hub/cloud-services/azure-sql) - [Azure Managed Disks 9](https://www.pointfive.co/efficiency-hub/cloud-services/azure-managed-disks) - [Azure Blob Storage 7](https://www.pointfive.co/efficiency-hub/cloud-services/azure-blob-storage) - [Azure AKS 6](https://www.pointfive.co/efficiency-hub/cloud-services/azure-aks) - [Azure Cosmos DB 6](https://www.pointfive.co/efficiency-hub/cloud-services/azure-cosmos-db) - [Azure Database for PostgreSQL - Flexible Server 4](https://www.pointfive.co/efficiency-hub/cloud-services/azure-database-for-postgresql---flexible-server) - [Azure Log Analytics 4](https://www.pointfive.co/efficiency-hub/cloud-services/azure-log-analytics) - [Azure App Service 3](https://www.pointfive.co/efficiency-hub/cloud-services/azure-app-service) --- Source: the public page above. Product screenshots and illustrative interfaces are examples, not live customer data.