What is Edge Delta?
Edge Delta provides an advanced platform centered around intelligent Telemetry Pipelines designed for managing extensive volumes of observability and security data. It empowers teams to gain full control over their data by enabling the building, testing, monitoring, and management of data ingest processes and associated costs effectively. The platform facilitates the shaping, enrichment, analysis, and standardization of data through numerous pre-built processors, enhancing overall data usability and visibility for improved insights.
The system allows for real-time data streaming from any source to any destination, integrating seamlessly with existing stacks, including support for OpenTelemetry. Edge Delta aids in cost-effective observability at scale by enabling users to log everything without resorting to sampling or filtering. It simplifies issue resolution by summarizing log data and highlighting changes and affected resources during alerts. Furthermore, it employs AI to automatically detect and alert on anomalies, reducing the need for manual threshold configuration and predictive monitoring setup.
Features
- Telemetry Pipelines: Build, test, manage, and control data ingest and costs at scale.
- Data Enrichment & Transformation: Shape, enrich, analyze, and standardize data with 20+ pre-built processors.
- Multi-Source/Destination Integration: Stream data in real-time from any source to any destination, supporting OpenTelemetry.
- Automated Anomaly Detection: Utilizes AI to automatically detect and alert on anomalies in data.
- Comprehensive Log Management: Store, search, summarize log data, and perform pattern extraction without sampling.
- Metric Monitoring: Explore, aggregate, and set threshold monitors for metrics, including Kubernetes metrics.
- Trace Analysis: Provides trace exploration, span analysis, trace response monitors, and service maps.
- Fleet Management: Control and manage deployments effectively.
- Role-Based Access Control (RBAC): Securely manage user access and permissions.
Use Cases
- Reducing Observability Costs
- Cutting Security Information and Event Management (SIEM) Costs
- Implementing Data Tiering Strategies
- Accelerating OpenTelemetry Adoption
- Monitoring Kubernetes Environments
- Automating Root Cause Remediation
- Avoiding Vendor Lock-In
- Analyzing Logs within Operational Environments
- Managing High Volumes of Observability Data
- Enhancing Security Data Management
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