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APIOps Best Practices for Azure API Management

Derek Marley


APIOps integrates DevOps principles into Azure API management, ensuring reliable and consistent deployment of API configurations across all environments. By applying GitOps and DevOps methodologies, APIOps enables self-service and automated tools for everyone involved in the API lifecycle, ensuring the quality of specifications and APIs.


Here's a guide to APIOps in Azure API Management best practices, addressing key challenges in API management:


Centralized API Policy Governance and Enforcement


Organizations often struggle with enforcing consistent API policies across different teams and environments, leading to security vulnerabilities and compliance issues. APIOps provides a centralized approach to API policy governance by placing API configurations under version control. This ensures policy changes are reviewed, audited, and consistently applied across environments. Automated pipelines can enforce policies, provide feedback for proposed policy changes, and identify deviations from standards early in the development cycle, reducing risks and costs.


Time to Market for New APIs and Updates


Organizations often experience delays in releasing new APIs or updating existing ones due to lengthy manual processes and a lack of automation. APIOps streamlines the API deployment lifecycle, enabling faster time to market. By automating the processes of API design, testing, and deployment, APIOps reduces manual bottlenecks and accelerates the release cycle. The use of GitOps principles allows for efficient version control and automated deployments, ensuring that new APIs and updates can be rolled out quickly and reliably.

Version Control and Auditing


A lack of version control and auditing for API changes can lead to significant challenges. Without a robust system for tracking and managing changes to APIs, it becomes difficult to understand who made specific modifications, when they were made, and why. This absence of transparency and accountability can result in errors, and security concerns.


APIOps addresses these challenges by placing the Azure API Management infrastructure under version control. This approach ensures that most operations happen through code changes that can be reviewed and audited. APIOps leverages Git to track all changes to API configurations, policies, and related artifacts. Every modification is recorded with a timestamp, author, and commit message, providing a complete history of the API's evolution. Before any changes are merged, they must undergo a code review process using pull requests. This ensures all modifications are thoroughly scrutinized, reducing the risk of errors and ensuring adherence to coding standards.


Inconsistent API configurations across different environments


Inconsistent API configurations across different environments can create substantial obstacles for organizations. APIOps methodology addresses these challenges through automation, version control, and standardized processes. APIOps integrates DevOps principles into API management, ensuring reliable and consistent deployment of API configurations across all environments. The process begins with developers making and testing changes to the APIs directly in Azure API Management via the portal (or through code skipping the next step "extract"). Once finalized, these configurations are extracted as specification files. These files are then pushed to a Git repository, which serves as the source of truth. These artifacts are then deployed to the next environment (like staging and production), ensuring a smooth and consistent transition through the deployment pipeline.


Updates that are no longer time-consuming and prone to errors


Many find it quicker to make updates directly in the Azure portal, which provides a user-friendly interface for configuring APIs, testing changes, and fine-tuning policies. However, converting these portal-based changes into infrastructure-as-code is often complex and time-consuming. Organizations struggle with capturing all the configurations, policies, and dependencies accurately. By applying GitOps and DevOps methodologies, APIOps enables self-service and automated tools for everyone involved in the API lifecycle, ensuring the quality of specifications and APIs. This approach places the Azure API Management infrastructure under version control, where most operations happen through code changes that can be reviewed and audited, supporting the security principle of least-privilege access. Early feedback for proposed policy changes is provided, making it more convenient for developers and reducing risks and costs.


Conclusion of using APIOps in Azure API Management

By adopting APIOps best practices, organizations can achieve greater consistency, enhanced security, and faster time to market for their APIs

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