Unified Logging Architecture
Use a single agent to collect, pre-process, and route log data.
Explore how Edge Delta helps teams solve real-world observability challenges.
Use a single agent to collect, pre-process, and route log data.
Effortlessly monitor your distributed Azure environments Store and search all your logs – Edge Delta is cost-effective at scaleDetect anomalies without any manual configuration
Monitor even the most complex AWS environments out-of-the-boxStore and search all your logs – Edge Delta is cost-effective at scaleDetect anomalies without any manual configuration
Observe your most distributed Google Cloud environments out-of-the-box Ingest any volume of logs and metrics without sacrificing cost or performance Detect anomalies without the need for manual configurations
Edge Delta automatically structures logs in the OpenTelemetry schema, enabling you to: Simplify OTel adoption Break free from vendor lock-in Easily investigate log data
Pair Edge Delta’s on-the-edge architecture with Hybrid Log Search to analyze your log data securely and cost-effectively. Configure Hybrid Log Search to query self-stored logs through the Edge Delta SaaS interface, while keeping everything 100% in your environment.
Hop the fences of legacy observability tools. Free yourself from rigid proprietary platform standards. Seamlessly route observability and security data to any downstream destination, in any format, including OpenTelemetry.
Automatically anticipate and detect anomalies to speed resolution. Conserve your engineering team’s time and energy with faster troubleshooting.
Control the costs and noise that come with monitoring at scale. Analyze and aggregate Kubernetes telemetry data at the source with Edge Delta’s agent fleets. Visualize key Kubernetes metrics and events to gain real-time insights into your environment.
Tier observability and security data across multiple vendors with ease. Route the highest-value data to premium platforms while shipping a copy of all raw data to more cost-effective search or archival destinations. Control your data, reduce costs, and minimize noise.