Your Azure Spend Is Scaling With Waste
Azure Synapse, Log Analytics, and Blob Storage costs grow with data volume. Most of that volume is noise. Expanso filters at the source - Azure only processes data that delivers value.
Why Azure Costs Keep Growing
Azure pricing is volume-driven. More data ingested, stored, and queried means higher bills - even when most of that data is noise.
Log Analytics charges per GB
$2.76/GB Ingestion Cost
Azure Log Analytics charges $2.76/GB for ingestion. Verbose application logs, health checks, and debug traces drive daily volumes up. Your monitoring budget grows faster than your infrastructure.
Synapse compute scales with data
DWUs Burn on Noise
Azure Synapse Analytics scales compute (DWUs) based on query volume and complexity. When tables are bloated with unfiltered data, every query costs more and runs slower.
Bandwidth charges compound
Cross-Region and Egress Fees
Azure charges for data leaving a region, crossing VNets, and egressing to the internet. High-volume data pipelines between regions generate significant monthly bandwidth costs.
Filter Before Azure Meters Start
Expanso processes data on your Azure VMs or AKS clusters before it reaches Log Analytics, Synapse, Event Hub, or Blob Storage. Costs drop because volume drops.
How Expanso Cuts Azure Costs
Reduce spend across Azure analytics, monitoring, and storage services
Log Analytics volume reduction
Ingest Less, Pay Less
Classify and filter application logs before they reach Log Analytics. Forward errors and security events, aggregate routine logs, drop debug noise. Cut ingestion costs 40-70%.
Synapse compute optimization
Smaller Tables, Faster Queries
When data is filtered before landing in Synapse, tables are smaller, queries scan less data, and DWU consumption drops. Same analytics, lower compute costs.
Blob Storage cost control
Store Only What Matters
Filter and compress data before it lands in Azure Blob Storage. Reduce storage volume 40-60% and accelerate downstream processing with cleaner data.
Event Hub pre-filtering
Fewer Events, Lower Throughput
Filter event streams before they reach Azure Event Hubs. Reduce throughput units needed, lower capture costs, and decrease downstream processing overhead.
Cross-region transfer reduction
Move Less Between Regions
Filter data at the source region before transferring to central analytics. Reduce inter-region bandwidth charges by processing locally first.
Azure Monitor optimization
Metrics That Matter
Reduce the volume of custom metrics and diagnostic logs sent to Azure Monitor. Lower per-metric costs and improve alert signal-to-noise ratio.
Proven Azure Cost Reductions
Results from upstream data optimization applied to Azure workloads
Log volume reduction achievable for Azure Log Analytics ingestion
Annual savings demonstrated for observability pipeline optimization
Typical Azure Synapse compute reduction with cleaner data
Data transfer reduction for distributed data warehouse workloads
Real-World Impact
See how organizations cut Azure costs with upstream data control
Bank: 63% Log Volume Reduction
A regional bank was ingesting 14.3 TB/day of logs into their observability platform. 73% was noise - debug logs, health checks, and verbose traces. Expanso classified every log at the source and filtered before ingestion. The same approach directly applies to Azure Log Analytics.
Major US City: Data-Driven Services
A major US city deployed distributed data processing across city infrastructure. By processing data at the source instead of centralizing everything to the cloud, they reduced data movement costs and improved service delivery speed.
Why Expanso for Azure
Runs on Azure infrastructure
Deploy on Azure VMs, AKS, or Azure Arc. Expanso runs where your data originates within the Azure ecosystem.
Works with Azure services
Integrates upstream of Log Analytics, Synapse, Event Hubs, Blob Storage, and Azure Monitor. No service changes required.
Multi-cloud ready
If you run hybrid or multi-cloud, Expanso applies consistent filtering across Azure, AWS, and GCP. No vendor lock-in.
Free tier to prove value
Process up to 1TB/day free on Azure. Measure actual cost reduction before committing to a full deployment.
Optimize Costs Across Your Stack
See how Expanso reduces costs for other platforms
Frequently Asked Questions
How does Expanso deploy on Azure?
Expanso runs on Azure VMs, AKS clusters, or Azure Arc-enabled infrastructure. It processes data at the source before it reaches Log Analytics, Synapse, Event Hubs, or Blob Storage. Deployment uses standard Azure infrastructure - no marketplace dependencies or special networking.
Will this affect Azure Monitor alerts and dashboards?
No. Your Azure Monitor alerts, dashboards, and workbooks continue working. The data that reaches Azure services is the same format - just cleaner and without noise. Alert signal-to-noise ratio actually improves because you're filtering out the noise that generates false positives.
How does this compare to Azure Cost Management tools?
Azure Cost Management tools help you track and optimize infrastructure spend - reserved instances, right-sizing VMs, storage tiers. Expanso reduces the data volume that drives service costs. These approaches are complementary: use Azure tools for infrastructure, Expanso for data volume.
Can we start with just Log Analytics?
Yes. Most Azure customers start with Log Analytics because it has the most visible per-GB pricing. Deploy Expanso on your highest-volume log sources, measure ingestion reduction, then expand to Synapse, Event Hubs, and other services.
Does this work with Azure Sentinel?
Yes. Expanso filters noise while preserving security-critical events. Security logs flow with full fidelity to Azure Sentinel. Filtering noise actually improves Sentinel effectiveness by reducing false positives and improving analyst focus.
Azure costs growing every month?
Every noisy log line and duplicate record costs money in Log Analytics, Synapse, and storage. Filter at the source and pay for what matters.