Metrics Collector
Multi-APM aggregation hub
The Metrics Collector is the data foundation of the Inflight platform. It aggregates metrics from your existing APM providers, normalizes them into a consistent format, and stores them efficiently across multiple tiers—giving you a unified view of your entire infrastructure regardless of which monitoring tools you use.
Why the Metrics Collector Matters
Most organizations use multiple APM tools across different teams and services. The Metrics Collector unifies this fragmented data into a single source of truth.
Multi-APM Support
Aggregate metrics from Datadog, Dynatrace, New Relic, SigNoz, and more
Intelligent Storage
Hot, warm, and cold storage tiers optimize for both speed and cost
Always Normalized
Consistent metric formats regardless of source APM provider
The Data Fragmentation Problem
When your monitoring data is scattered across multiple tools with different formats, getting a complete picture of your system becomes nearly impossible:
Without Unified Collection
- Metrics siloed in different APM dashboards
- Inconsistent naming and units across providers
- Manual correlation between data sources
- Limited historical data due to APM retention policies
With the Metrics Collector
- Single unified view of all metrics
- Consistent format regardless of source
- Automatic correlation and enrichment
- Extended retention with tiered storage
Core Capabilities
The Metrics Collector provides the data infrastructure that powers all of Inflight's optimization and analysis features.
Multi-APM Aggregation
Connect to multiple APM providers simultaneously. Your metrics are unified into a single, consistent view regardless of which monitoring tool collected them.
Intelligent Normalization
Different APMs report metrics differently. The Collector normalizes everything into a consistent format, making cross-provider analysis seamless.
Anomaly Detection
Automatically identifies unusual patterns in your metrics. Get early warnings about potential issues before they impact your users.
Gap Handling
Missing data points don't derail your analysis. Intelligent interpolation fills gaps while clearly marking estimated values.
3-Tier Storage Architecture
Not all data needs the same access speed. The Collector automatically moves metrics through storage tiers based on age and access patterns.
Hot Tier
Recent metrics for real-time dashboards and immediate analysis
Warm Tier
Historical data for trend analysis and model calibration
Cold Tier
Long-term archival for compliance and historical reference
Data automatically flows from hot to warm to cold based on configurable policies. You control the retention at each tier based on your needs and budget.
Service Profiles
Different services have different metric requirements. Service profiles define which metrics matter for each service type and how they should be collected.
Metric Contracts
Define which metrics are required, optional, or computed for each service. Get alerts when expected metrics are missing.
Quality Scoring
Track data completeness and quality over time. Identify gaps before they impact your optimization recommendations.
Runtime-Aware Collection
JVM services collect GC and heap metrics. Go services collect GOGC and memory limit data. Each runtime gets relevant metrics.
Tier-Based Policies
Critical services get higher collection frequency and longer retention. Less critical services can use more cost-effective policies.
Data Quality Assurance
Optimization recommendations are only as good as the data behind them. The Metrics Collector ensures your data is complete, accurate, and reliable.
Completeness Tracking
Know exactly what percentage of expected data points were received
Anomaly Flagging
Unusual values are flagged for review rather than blindly accepted
Source Attribution
Every data point traces back to its source APM and collection time
Powers the Entire Platform
The Metrics Collector is the foundation that enables all other Inflight components:
Inflight Agent
Registers services and sends configuration data to the Collector
Simulator
Uses collected metrics to calibrate prediction models
AI Advisor
Analyzes normalized metrics to generate optimization recommendations
Monitoring Service
Receives anomaly alerts detected during metric collection
Ready to Unify Your Metrics?
Connect your APM providers and start getting a unified view of your entire infrastructure.