Azure SQL Managed Instance Optimization

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Azure SQL Managed Instance

Availability-driven waste

11

Behavioral Inefficiency

11

Commitment Misalignment

11

Commitment eligibility misclassification

11

Commitment risk due to timing constraints

11

Commitment underutilization due to scope configuration

11

Contract Lifecycle Mismanagement

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Cross-Region Data Movement

11

Excessive Data Retention

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Excessive Ingestion of Low-Value Logs

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Excessive Log Verbosity

11

Excessive Logging Configuration

11

Excessive Recording Frequency

11

Excessive Retention Configuration

11

Excessive Retention of Non-Critical Data

11

Excessive Retry-Induced Token Consumption

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Excessive backup retention

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Excessive data processed

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Extended support surcharge

11

Idle Resource

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Idle Resource with Baseline Cost

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Inactive Resource

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Inactive Resource Consuming Baseline Costs

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Inactive Storage Resource

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Inactive and Detached Volume

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Incorrect Compute Tier Selection

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Inefficient Architecture

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Inefficient Configuration

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Inefficient Configuration

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Inefficient Data Ingestion

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Inefficient Network Configuration

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Inefficient Query Pattern

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Inefficient Query Patterns

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Inefficient Resource Usage

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Inefficient Scheduling

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Inefficient Storage Tiering

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Inefficient Storage Usage

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Inefficient environment isolation

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Licensing Configuration Gap

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Misaligned Pricing Model

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Misaligned Storage Destination

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Misaligned Storage Tiering

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Misapplied Embedding Architecture

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Misconfiguration

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Misconfiguration Leading to Future Orphaned Resource

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Misconfigured Architecture

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Misconfigured Logging

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Misconfigured Performance Optimization

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Misconfigured Redundancy

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Misconfigured Reservation

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Misconfigured Storage Tier

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Missing Caching Layer

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Missing Cost Control Configuration

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Missing Lifecycle Policy

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Missing Safeguard

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Modernization

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Operational Overhead from Custom Image Maintenance

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Orphaned Resource

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Orphaned Storage Resource

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Orphaned backup data

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Orphaned backup data and inefficient storage tiering

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Orphaned backup storage

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Outdated Engine Version

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Outdated Model Selection

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Outdated Resource

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Outdated Resource Selection

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Outdated Runtime Version

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Outdated or Overpowered Model Configuration

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Over-Recording of Ephemeral Resources

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Over-Retention of Data

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Overcommitted Reservation

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Overpowered Model Selection

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Overprovisioned Capacity Allocation

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Overprovisioned Deployment Model

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Overprovisioned Minimum Capacity

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Overprovisioned Networking Resource

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Overprovisioned Resource

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Overprovisioned Resource

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Overprovisioned Resource Allocation

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Overprovisioned compute capacity

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Overprovisioned network capacity

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Pricing Model Misalignment

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Recursive Invocation Misconfiguration

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Redundant Configuration

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Redundant Log Routing Configuration

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Retained Unused Resource

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Retention

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Retry Misconfiguration

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Suboptimal Architecture Selection

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Suboptimal Cluster Configuration

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Suboptimal Configuration

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Suboptimal Configuration and Usage

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Suboptimal Data Layout

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Suboptimal Data Layout or Format

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Suboptimal Deployment Model

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Suboptimal Execution Model

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Suboptimal Instance Family Selection

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Suboptimal Instance Family Selection

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Suboptimal Instance Selection

11

Suboptimal Lifecycle Configuration

11

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Suboptimal Service Tier Selection in Azure SQL Managed Instance

Databases

Cloud Provider

Azure

Service Name

Azure SQL Managed Instance

Inefficiency Type

Suboptimal service tier selection

This inefficiency occurs when Azure SQL Managed Instances continue running on legacy General Purpose or Business Critical tiers despite the availability of the next-gen General Purpose tier. The newer tier enables more granular scaling of vCPU, memory, and storage, allowing workloads to better match actual resource needs. In many cases, workloads running on Business Critical—or overprovisioned legacy General Purpose—do not require the premium performance or architecture of those tiers and could achieve equivalent outcomes at lower cost by moving to next-gen General Purpose.

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