Intelligent Data Collection
at the Edge
Lightweight, high-performance agents that collect, process, and route data at the source— reducing cost, improving fidelity, and eliminating blind spots before data ever moves.
Built for Scale, Control, and Efficiency
Shyft Agents operate where data is generated—providing intelligent collection, filtering, and routing before data ever leaves your environment.
Multi-Source Ingestion
Collect logs, metrics, traces, files, syslog, TCP/UDP streams, cloud events, and object storage data using a single unified agent.
Edge Intelligence
Filter, enrich, mask, sample, and normalize data in-flight—before it reaches downstream pipelines or storage.
High-Performance
Written for throughput and low latency. Designed to handle massive volumes without impacting application performance.
Secure by Design
Built-in encryption, credential isolation, and data masking ensure sensitive information never leaves the source unprotected.
Dynamic Routing
Route the same data stream to multiple destinations—SIEM, data lake, analytics platforms, or cold storage—without duplication.
Composable Pipelines
Build modular pipelines with pluggable inputs, processors, and outputs tailored to each workload or environment.
Unified Agent Management
Centrally manage thousands of agents, configurations, and deployments across on-prem, cloud, and hybrid environments.
How Shyft Agents Work
A distributed edge-first data pipeline designed for control, efficiency, and scale
Collect
Deploy agents close to the source—servers, containers, VMs, edge nodes, or cloud services—to collect raw data.
Process
Apply filtering, enrichment, masking, aggregation, and normalization in real time at the edge.
Route
Dynamically route data to multiple downstream systems based on content, policy, or business rules.
Control
Manage configuration, updates, and deployments centrally without redeploying agents or restarting pipelines.
Fits Into Any Ecosystem
Shyft Agents integrate with your existing tools rather than forcing replacements
Agent Pipeline Example
Declarative, version-controlled configuration
# Shyft Agent Pipeline
inputs:
- type: file
path: /var/log/app/*.log
processors:
- filter:
drop_if: level == "DEBUG"
- mask:
fields: [password, token]
- enrich:
add_host_metadata: true
outputs:
- s3:
bucket: security-logs
- siem:
vendor: splunk🛡️ Security Teams
Reduce SIEM ingestion costs while preserving high-value security signals at the source.
⚙️ Platform Engineering
Standardize data collection across heterogeneous environments with minimal operational overhead.
📉 Cost Optimization
Filter and route only what matters—cut storage and licensing costs before data hits expensive platforms.
☁️ Hybrid & Edge
Run the same agent architecture across on-prem, cloud, and edge with consistent behavior and control.
Take Control at the Source
Stop shipping raw data blindly. Collect, process, and route data intelligently from the very first hop.