Unlocking Complex Embedded
Systems Data in Real-Time
Fisheye has developed patented technology to solve the challenges in transferring, processing, and analyzing data from complex embedded systems. The Pelagic Real-Time Data Platform is the fastest, most non-intrusive, flexible, and scalable platform that remains easy to maintain.
What is Pelagic?
Pelagic is software that unlocks data from complex embedded systems through self-learning MetaGen interfaces and delivers virtualized data to stakeholders throughout the enterprise. By pairing data and metadata with our patented MetaData Injection process, Pelagic enables raw machine data to be instantly analyzed in its natural form.
Pelagic offers benefits to Development and Operational Applications including:
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- Reduces data collection and storage size
- Curates data at the edge to send only actionable data and reduce network load
- Faster data processing of smaller data packages
- Self-learning interfaces to simplify integration, development, and maintenance
- Enables analysis of data over time by eliminating version issues as the system evolves
- A no-harm application with non-intrusive offloading of operational data onto a side-car
What is a Real-Time Data Platform?
A Real-Time Data Platform is foundational technology that enables the virtualization of data for immediate curation, analysis, and distribution throughout the enterprise.
Virtualizing data makes it immediately available to stakeholders to gain actionable insights, identify problems or risks, and share data beyond their mission area. Pelagic is the only real-time data platform that can manage the immense volume of data created by machines and embedded systems. The ability to virtualize and curate data in real-time means reduced bandwidth, faster transmission, and immediately actionable data.
Virtualize
An approach to data management that allows an application to retrieve and manipulate data without requiring technical details about the data, such as how it is formatted at source, or where it is physically located.
Capture
Data kept in native binary format, not transformed, not encoded making it the fastest possible for any given hardware; reduces edge load, reduces network load, reduces data storage.
Curate
The filtering and extraction of desired data from a larger dataset to accelerate access and analysis.
Analyze
Streaming metadata with data to analyze across data history even though sources and formats are constantly changing, eliminating data configuration and makes it easy to compare trends over time.
Distribute
Virtualized data can be pushed to stakeholders through subscribe/publish functionality or integrated with 3rd party systems for machine learning and artificial intelligence.
Visualize
Access to data in real-time enables a movie-like view of analysis and insights.
Data & MetaData Pairing
FishEye’s patented MetaGen process pairs data with the metadata describing in a MetaLog making it easily analyzed, now and in the future, regardless of changes made to the data structure over time.
Real-Time Insights
Command & Control, Test & Integration Analysis , Cyber Detection, Enterprise Data Sharing.
Real-Time Data Flow
The Pelagic Real-Time Data Platform runs next to your system, virtualizing your data and making it available for instant analysis.
MetaGen self-learning interfaces create MetaLogs that pair with your data and flow throughout the Pelagic platform, making data
self-describing and easily utilized over time and through system changes.
Time Savings and Cost Reduction
Fastest Processing
of machine data for any given hardware by eliminating the need for interpretation, compile/decompile, or custom interfaces
Self-Learning Interfaces
update as systems evolve and change overtime, ensuring system integrations are stable, sustainable, and extensible
Virtualized Machine Data
can be analyzed in real-time, streamed to AI/ML, visualization or observability, or publish-subscribe making it available enterprise-wide
MetaLogs Transcend Change
by pairing and storing metadata and data together enabling machine learning, regression and historical analysis
Data and MetaData Pairing
optimizes perfromance creating MetaLogs instead of tagging each instance of data with the metadata describing it
Data Curation
at the edge sends only actionable data, reducing network load, storage, and processing demands
Self-Describing Data
powers 3rd party applications with data aggregated from across the enterprise, from previously disparate and siloed systems
No-Harm Integration
with operational systems brings the power and accessibility of modern architecture to fielded systems
Virtualize Data in Real-Time
- No-harm implementation runs next to your software in real-time
- Immediate access to data and associated metadata
- Streaming and batch data in parallel from multiple sources
- Virtualized data can be shared across the enterprise
- Movie-like view of real-time machine data
MetaData Injection
Our patented MetaData Injection process enables sharing data using the smallest bandwidth and fastest performance available. MetaData Injection creates a MetaLog that travels with your data throughout the Pelagic platform and makes it easily ingested by 3rd party applications.
MetaData Injection
Our patented MetaData Injection process enables sharing data using the smallest bandwidth and fastest performance available. MetaData Injection creates a MetaLog that travels with your data throughout the Pelagic platform and makes it easily ingested by 3rd party applications.