Microsoft Azure Cost Optimization
LevelFour finds and fixes waste across 42 Azure services. It connects with read-only access, analyzes real usage, then opens Terraform pull requests that rightsize Virtual Machines and Azure SQL, tune AKS, move Blob storage to the right tier, and surface Reserved VM Instance and Azure Hybrid Benefit gaps. Your team reviews and merges; savings land the next billing cycle. SOC 2 Type II, setup in under 15 minutes.
How does LevelFour reduce Azure costs?
LevelFour connects to your Azure subscriptions with read-only access and analyzes utilization across Virtual Machines, Azure SQL, AKS, Blob Storage, managed disks, and 37 other services. For each opportunity, an oversized VM, an under-tiered storage account, an uncovered Reserved VM Instance, or a workload eligible for Azure Hybrid Benefit, it drafts the Terraform change and opens a pull request with the estimated savings. You review and merge; the savings appear on your next bill. Optimizations average up to 30%.
- ✓Virtual Machine and Azure SQL rightsizing from real usage
- ✓Reserved VM Instance coverage analysis
- ✓Azure Hybrid Benefit eligibility detection
- ✓AKS node pool and autoscaler tuning
- ✓Blob storage tiering and lifecycle rules
- ✓Unattached managed disk and idle resource cleanup
Where Microsoft Azure costs add up
Most Azure overspend traces to a handful of patterns. Virtual Machines and Azure SQL databases get sized for peak or guesswork, then run at a fraction of their cores and DTUs. Reserved VM Instance coverage stays low, so steady-state compute pays full pay-as-you-go rates. Azure Hybrid Benefit goes unclaimed even where existing Windows Server and SQL Server licenses with Software Assurance qualify. Blob storage sits in Hot when Cool or Archive would fit the access pattern, AKS node pools run more nodes than utilization needs, and unattached managed disks keep billing after their VMs are gone. LevelFour reads real CPU, memory, DTU, and storage telemetry to separate genuine demand from provisioned slack.
Azure cost optimization best practices
A few habits compound. Rightsize Virtual Machines and Azure SQL on observed CPU, memory, and DTU usage rather than provisioned size. Cover predictable, steady-state compute with one- or three-year Reserved VM Instances, and layer Azure Hybrid Benefit on top where your Windows Server or SQL Server licensing qualifies. Match each storage account to its real access pattern using Blob tiers and lifecycle rules. Tune AKS node pools and the cluster autoscaler to demand, and routinely delete unattached managed disks and idle resources. Crucially, make every change in version-controlled infrastructure-as-code so it is reviewable and reversible. LevelFour ships each fix as a Terraform pull request by default.
Manual vs automated Azure cost optimization
Azure Advisor and Cost Management surface recommendations, but acting on them is manual: someone reads the advice, hand-edits a template or clicks through the portal, and validates the result. That work competes with the roadmap, so findings pile up and savings erode as usage drifts. LevelFour closes the loop continuously. It analyzes utilization and turns each opportunity into a merge-ready infrastructure-as-code pull request (Terraform, CloudFormation, Pulumi, or CDK). For Azure you choose how to execute: an IaC pull request by default, opt-in supervised automated apply, or manual when you prefer to make the change yourself. The diff is the recommendation, already written.
How Azure savings are measured and de-risked
Aggressive rightsizing that ignores spikes causes incidents, so headroom matters. LevelFour sizes recommendations against P95 utilization rather than averages or peaks, leaving room for normal bursts while still cutting waste. The platform connects with read-only access by default and is SOC 2 Type II, so analysis never touches your resources without consent. Every proposed change arrives as a reviewable diff with the estimated savings attached, which means your team validates the blast radius before anything merges. Across Azure environments, optimizations reach up to 30%, measured at that P95 line. Nothing applies until you merge the pull request or explicitly opt into supervised automated apply.
Microsoft Azure services LevelFour optimizes
42 services, each with the optimization LevelFour applies and the typical savings.
Virtual Machines
B-series burstable VMs for intermittent workloads.
AKS
Kubernetes cost allocation and optimization.
Azure SQL
Switch DTU→vCore when beneficial. Idle databases flagged.
Managed Disks
Premium disks on low-IOPS workloads are common over-spend.
Blob Storage
40–60% savings on eligible blobs.
Reservations
Coverage gaps filled. Unused reservations exchanged.
Savings Plans
Flexible discount coverage across Azure compute.
App Service
Consolidate under-utilized plans. Idle apps detected.
Cosmos DB
Right-size throughput. Reserved capacity for predictable workloads.
Azure Functions
Switch Premium → Consumption for low-traffic functions.
Azure Cache for Redis
Right-size cache instances. Detect idle caches.
Azure CDN
Improve cache hit ratio. Reduce origin traffic.
HDInsight
Spot workers and transient clusters for batch analytics.
Azure Databricks
Spot pools and job clusters reduce DBU costs significantly.
Container Instances
Eliminate idle container groups. Spot for batch jobs.
Azure Firewall
Right-size firewall SKU. Basic tier for low-traffic environments.
Container Registry
Image lifecycle policies reduce storage. Basic tier for dev registries.
Key Vault
Purge soft-deleted vaults. Remove unused secrets.
Log Analytics
Basic tier for high-volume, low-query tables. Significant ingestion savings.
VM Scale Sets
Spot VMs in scale sets and autoscaling optimization.
Azure Batch
Low-priority VMs for batch workloads save up to 60%.
Azure Database for PostgreSQL
Flexible Server tier optimization. Idle instance detection.
Azure Database for MySQL
Flexible Server tier optimization. Idle instance detection.
SQL Managed Instance
Hybrid Benefit licensing and vCore rightsizing.
Synapse Analytics
DWU rightsizing and pause scheduling for data warehouses.
Azure Data Explorer
Autostop for dev clusters. Autoscale for production.
Azure Files
Tier optimization based on access patterns.
Azure Backup
LRS is sufficient for non-critical backups. Retention optimization.
Azure NetApp Files
Capacity pool tier and volume rightsizing.
Application Gateway
v2 SKU is more cost-effective. Idle gateway detection.
Azure Front Door
Standard tier sufficient for most workloads.
VPN Gateway
SKU rightsizing and idle tunnel detection.
ExpressRoute
Circuit bandwidth rightsizing for dedicated connections.
Azure Load Balancer
Idle load balancer detection. SKU optimization.
Azure NAT Gateway
Idle NAT gateway detection and port optimization.
Azure DNS
Orphaned zone cleanup. Consolidate zones.
Azure Machine Learning
Idle compute shutdown and Spot training for ML workloads.
Data Factory
Integration Runtime rightsizing reduces execution costs.
Event Hubs
TU/PU rightsizing and tier selection.
Stream Analytics
Streaming unit rightsizing and idle job detection.
Service Bus
Tier and MU rightsizing. Idle queue cleanup.
Event Grid
Orphaned event resource cleanup.
Microsoft Azure cost optimization FAQ
Which Azure services does LevelFour optimize?
42 Azure services, including Virtual Machines, Azure SQL, AKS, Blob Storage, Cosmos DB, App Service, managed disks, and more. The full list with the optimization applied to each is below.
How much can I save on Azure?
Azure optimizations average up to 30%. Actual savings depend on your current rightsizing, reservation and Hybrid Benefit coverage, and idle resource levels.
Does LevelFour apply Azure changes automatically?
No. LevelFour is read-only by default and proposes every change as a Terraform pull request. Nothing is applied until you review and merge, or opt into supervised automation.
How long does Azure setup take?
Under 15 minutes. You connect your subscriptions with read-only access; there are no agents to install and no code changes required.
Cost optimization by platform