Log Analytics and Visualizations
Make sense of your noisiest datasets
Visualize the health of your Kubernetes resources. Drill into components and investigate signals in clicks.
Logs to Metrics
Summarize high-volume, noisy datasets into lightweight, consumable KPIs that are easy to track over time.
Group recurring loglines into patterns to reduce noise, simplify troubleshooting, and quickly see new behaviors.
Monitor behaviors in Kubernetes environments down to the namespace or container level.
Observe Kubernetes events and understand how they’re affecting service behavior.
Detection and Root-Cause Assistance
Spot issues faster and simplify troubleshooting
Detect every anomaly – even unknown problems or issues you haven’t built logic to catch.
Resolve issues in minutes with full context and raw data tied to an incident or anomaly.
Trigger automated and custom alerts at the infrastructure level for lower fatigue and faster response.
Full-Fidelity Data Access
Maintain complete access to your log data without relying on a downstream index
Store and search on all log data ingested into Edge Delta.
Object Storage Search
Route all data to your preferred storage target, instead of a downstream log index. Live search from Edge Delta.
Raw Log Forwarding
Capture and route raw data tied to an anomaly, new deployment, or other critical occurrence.
Ingest and index any subset of logs from object storage into your observability platform.
Gain complete control over what you index in your observability platform
Move raw, enriched, or optimized log data from any source to any location.
Enrich and optimally format log data to derive more value within downstream systems.
Connect your data and insights with your other observability, analytics, and incident response tooling.
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