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Coverage

Azure cost optimisation across 15 service families

Cerberus Cloud runs 275+ automated finders across 15 Azure service families. Each finder ties a technical signal to real billing data, so findings arrive with an estimated recoverable value and are ranked by impact, effort and risk across every client tenant.

  • Azure Kubernetes Service (AKS)

    42 finders

    Node pools, autoscaling, requests and limits, spot and off-hours capacity.

    • Modernise
    • Rightsizing
    • Scaling
    • Off-hours schedules
    AKS cost optimisation
  • Integration and messaging

    26 finders

    Logic Apps, API Management, Event Grid, Data Factory, Service Bus and Event Hubs.

    • Modernise
    • Remove unused
    • Rightsizing
    • Scaling
    Azure integration and messaging cost optimisation
  • Data and analytics

    23 finders

    Microsoft Fabric, Databricks, Synapse, AI Search, Redis, PostgreSQL and MySQL.

    • Commitments
    • Modernise
    • Remove unused
    • Rightsizing
    • Scaling
    • Off-hours schedules
    Azure data and analytics cost optimisation
  • Networking

    19 finders

    Public IPs, gateways, firewalls, Front Door, ExpressRoute and load balancers.

    • Modernise
    • Remove unused
    • Rightsizing
    Azure networking cost optimisation
  • Virtual machines and commitments

    18 finders

    Idle and oversized VMs, scale sets, schedules, reservations and savings plans.

    • Commitments
    • Remove unused
    • Rightsizing
    • Scaling
    • Off-hours schedules
    Azure VM cost optimisation
  • Storage

    18 finders

    Storage accounts, blob tiers, file shares, managed disks and snapshots.

    • Modernise
    • Remove unused
    • Rightsizing
    • Off-hours schedules
    Azure Storage cost optimisation
  • Azure Machine Learning

    18 finders

    Compute instances, clusters, and online and batch endpoints.

    • Modernise
    • Remove unused
    • Rightsizing
    • Scaling
    • Off-hours schedules
    Azure Machine Learning cost optimisation
  • Azure OpenAI and AI services

    18 finders

    Model deployments, provisioned throughput, AI services and Foundry projects.

    • Modernise
    • Remove unused
    • Rightsizing
    • Scaling
    Azure OpenAI and AI services cost optimisation
  • Azure SQL

    17 finders

    Databases, elastic pools, managed instances, serverless and backup retention.

    • Deallocate
    • Remove unused
    • Rightsizing
    • Off-hours schedules
    Azure SQL cost optimisation
  • Governance

    17 finders

    Key Vault, backup vaults, tagging, Azure Hybrid Benefit, regions, and exposed or orphaned resources.

    • Commitments
    • Modernise
    • Remove unused
    • Rightsizing
    Azure governance cost optimisation
  • Azure Cosmos DB

    16 finders

    Throughput, indexing, partitioning, consistency and regions.

    • Remove unused
    • Rightsizing
    • Off-hours schedules
    Cosmos DB cost optimisation
  • App Service

    13 finders

    App Service plans, tiers, scaling and app consolidation.

    • Modernise
    • Remove unused
    • Rightsizing
    • Scaling
    • Off-hours schedules
    App Service cost optimisation
  • Monitoring

    13 finders

    Log Analytics ingestion and retention, Application Insights sampling and verbosity.

    • Remove unused
    • Rightsizing
    Azure Monitor and Log Analytics cost optimisation
  • Azure Functions

    10 finders

    Hosting plans, always-ready capacity and deployment slots.

    • Modernise
    • Remove unused
    • Scaling
    Azure Functions cost optimisation
  • Azure Container Apps

    9 finders

    Replicas, workload profiles, revisions and jobs.

    • Modernise
    • Remove unused
    • Rightsizing
    • Scaling
    Azure Container Apps cost optimisation

Finder counts as of . Coverage grows as new finders ship.

Types of fix

Every finder falls into one of these categories, so your team knows what kind of change a finding asks for before opening it.

Remove unused
Delete resources that no longer serve a workload but are still billed.
Deallocate
Release compute that is paid for while it sits stopped.
Off-hours schedules
Stop or scale down non-production resources outside working hours.
Rightsizing
Move to a smaller or cheaper size that still fits the measured load.
Modernise
Move to a newer generation, tier or hosting model that costs less for the same job.
Commitments
Cover steady usage with reservations or savings plans.
Scaling
Fix autoscale settings so capacity follows demand.

See the findings on a sample Azure portfolio

A 15-minute walkthrough: tenant connection, prioritised findings across these families, remediation scripts and savings history.