# Azure Pipelines optimization | Cloud Efficiency Hub

Canonical: https://www.pointfive.co/efficiency-hub/cloud-services/azure-pipelines

1 documented Azure Pipelines cost inefficiency, with how to detect it and how to fix it.

[Cloud Efficiency Hub](https://www.pointfive.co/efficiency-hub) 

1 documented Azure Pipelines 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 Pipelines  CER-0113

### [Inefficient Use of Azure Pipelines](https://www.pointfive.co/efficiency-hub/inefficiencies/inefficient-use-of-azure-pipelines)

Teams often overuse Microsoft-hosted agents by running redundant or low-value jobs, failing to configure pipelines efficiently, or neglecting to use self-hosted agents for steady workloads. These inefficiencies result in unnecessary cost...

Other

## 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.

