Скачать или смотреть Best Practices for Managing Log Analytics Workspaces with Multiple Application Insights Instances

Discover the optimal approach for managing multiple `Application Insights` instances using `Log Analytics workspaces` in Azure. Learn whether to centralize or separate your workspaces based on your needs.
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Managing Log Analytics Workspaces for Multiple Application Insights Instances

When working with multiple applications, especially in diverse environments like development, testing, and production, the management of Application Insights can become quite complex. Each application monitored through Azure's Application Insights might call for its own workspace for Log Analytics, leading to questions about the best strategy for organization and governance. This post breaks down the recommended approaches for configuring Log Analytics workspaces when monitoring multiple Application Insights instances.

The Problem

Imagine you have deployed multiple web applications across various environments. For instance, if you have two applications each in development, testing, and production environments, you would end up with six separate Application Insights instances. With Microsoft transitioning Application Insights to a workspace-based model, the decision arises: how should we set up our Log Analytics workspaces? Should we:

Create a single workspace for all Application Insights instances?

Set up separate workspaces for each instance?

Or adopt another strategy, like one workspace per application or environment?

Recommended Approach

From insights gathered by professionals in the Application Insights team, the recommendation is clear: minimize the number of workspaces unless distinct separations are needed. Here are the considerations that help inform this decision:

1. Separation of Concerns

You might consider separate workspaces if any of the following factors are critical for your operations:

Different Authentication: If you have varying access controls for different workspaces, you might necessitate multiple instances.

Billing Quotas: Individual workspaces can help manage separate billing processes based on usage.

Retention Periods: If applications require different data retention policies, separate workspaces become essential.

Geographical Regions: Think of separate workspaces if applications are hosted in various regions.

Distinct Environments: Different environments (production vs. development) might justify isolated workspaces.

2. Management Efficiency

Centralizing your Application Insights into fewer workspaces entails significantly lesser management overhead. By doing so, you have the opportunity to easily monitor and analyze your applications' metrics from a single pane.

Suggested Configuration in General Use Cases

For most scenarios, especially those not relying heavily on advanced features, a minimalist approach is encouraged:

Three Workspaces total for distinct environments:

Dev Workspace

Test Workspace

Prod Workspace

This setup allows for streamlined management while still respecting the distinct needs of different environments.

Conclusion

The logistics behind managing Azure's Application Insights using Log Analytics workspaces hinge on your unique operational needs. Most commonly, consolidating into a few workspaces reduces complexity while still providing adequate oversight into resource management. By evaluating your environments and requirements, you can ascertain the optimal workspace structure that meets both your present and future needs.

In summary, consider adopting three workspaces categorized by development, testing, and production unless specific factors demand a divergence from this simplified structure. This way, you make resource management both effective and efficient.

Finally, remember that as your applications grow and evolve, regular assessment and possible restructuring of your Log Analytics workspaces may become necessary to ensure sustained performa