# Optimize before you observe with Active Telemetry

Cut Datadog costs by up to 70% while accelerating incident resolution. Mezmo's intelligent pre-processing layer filters, transforms, and routes your telemetry data before it hits Datadog—giving you lower costs, faster insights, and fewer surprises.

[Schedule a demo](https://www.mezmo.com/use-cases/datadog#demo-request)

## The Datadog challenge: great insights, growing costs

While Datadog excels at analysis and visualization, its cost structure and limited preprocessing capabilities create significant challenges for modern engineering teams.

### The Reality: Teams Are Forced to Choose

**Between Visibility and Budget**

📊 Up to 80% of ingested data provides little to no business value  
📊 MTTR increases by 30-60% due to data noise and delays

### Runaway Datadog costs

Log ingestion, indexing, and retention costs are exploding. You're paying to store low-value or unused data with limited cost control.

### Slow incident resolution

Datadog's ingestion delays and UI lag slow down triage. Teams struggle to isolate root causes in massive volumes of noisy data.

### Unpredictable growth impact

Small development changes, such as adding tags or log statements, can create huge, unforeseen financial impacts and force teams to choose between visibility and budget.

### Noisy, redundant telemetry

Datadog doesn't provide enough control over verbose logs and high-cardinality metrics that inflate storage costs and create analysis paralysis.

## Mezmo + Datadog better together

Mezmo sits as an intelligent pre-processing layer in front of Datadog, giving you the power to filter, transform, and route telemetry data before it incurs costs and complexity.

### Volume control without sacrificing fidelity

Keep 100% visibility through Live Tail and buffer replay while only sending high-value data to Datadog for storage and indexing.

### Accelerate resolution

Mezmo makes the right data available in real time—before it hits Datadog—enabling faster root cause analysis and improved responsiveness.

### Cost-effective preprocessing

Use Mezmo for intelligent data processing and routing, then leverage Datadog for what it does best—analysis and visualization.

### Cut costs, keep visibility

Reduce cost without losing insight by preprocessing telemetry with Mezmo—filter, sample, and aggregate data before it reaches Datadog.

## Before vs. after Mezmo: real impact on your operations

See the measurable transformation teams experience when they implement Mezmo as their intelligent pre-processing layer for Datadog.

| Operational Aspect                     | Before Mezmo                     | After Mezmo                       | Improvement       |
|----------------------------------------|----------------------------------|----------------------------------|-------------------|
| Monthly observability costs             | Unpredictable & rising           | Controlled & predictable         | 30-50%            |
| Time to troubleshoot                    | Slow & frustrating                | Fast & efficient                 | 40-50%            |
| Data quality                            | Noisy & overwhelming             | Clean & actionable               | 3.5x              |
| Developer experience                    | Anxious & constrained            | Confident & empowered            | 100%              |
| Platform team load                      | Constantly fighting fires        | Strategic & proactive            | 75%               |

## Key capabilities for Datadog users

Powerful pre-processing capabilities that transform your telemetry data before it reaches Datadog, delivering both cost savings and operational improvements.

### Metric cardinality reduction

Pre-aggregate high-cardinality metrics to reduce data bloat. Prevent cost explosions by filtering and remapping metric dimensions before they hit Datadog.

**⚡ Control metric explosion**

### Trace sampling & filtering

Send only high-value traces to Datadog while preserving trace fidelity. Eliminate trace noise from healthy services while guaranteeing 100% capture of critical error traces.

**⚡ Reduce trace costs by 60-80%**

### Responsive pipelines

Auto-adjust routing and filtering based on conditions with a 4-hour buffer. Automatically highlight anomalies and route alerts during critical events.

**⚡ Risk-free optimization**

### Live tail

Stream logs instantly, independent of Datadog indexing. Troubleshoot in real-time by viewing raw log streams before they hit any platform, bypassing ingestion delays entirely.

**⚡ Zero-delay incident response**

### Data aggregation

Combine logs or metrics at the edge for simplified, summarized insights. Turn thousands of high-volume events into meaningful aggregates.

**⚡ Reduce volume by 70%+**

### Data enrichment

Add context and structure to logs before they reach Datadog. Enrich data with metadata and transform unstructured logs into searchable, actionable insights.

**⚡ Better data quality**

## Real-world use cases for Telemetry Pipeline

See how teams like yours are winning with Mezmo.

### AuditBoard

Enterprise SaaS

**Challenge**

Datadog costs growing 300% year-over-year with limited visibility into spending

**Solution**

Implemented Mezmo pipelines to filter and aggregate logs before Datadog ingestion

**Results**

✔️ 52% reduction in Datadog costs  
✔️ 40% faster incident resolution  
✔️ 90% reduction in noisy alerts

[Learn more](https://www.mezmo.com/use-cases/auditboard)

### Netlink Voice

Telecommunications

**Challenge**

Overwhelming telemetry data volume from network infrastructure

**Solution**

Implemented Mezmo pipelines to filter and aggregate logs before indexing only necessary fields

**Results**

✔️ 50% reduction in overall telemetry data  
✔️ Eliminated redundant data storage  
✔️ Improved query performance by 3x

[Learn more](https://www.mezmo.com/archive/use-case-netlink)

## Common questions about Mezmo + Datadog

Get answers to the most frequently asked questions about integrating Mezmo with your existing Datadog environment.

- How does Mezmo integrate with our existing Datadog setup?
- Will using Mezmo affect our Datadog dashboards and alerts?
- How much can we realistically save on our Datadog costs?
- What happens if we need to access the filtered-out data for troubleshooting?
- How quickly can we implement Mezmo with our Datadog environment?
- Does Mezmo add latency or create a single point of failure?
