Edge Delta Log Patterns
The Edge Delta agent uses a proprietary algorithm to detect repeated patterns in log messages.
2 minute read
Edge Delta is a new way to do observability. We process your data as it’s created and give you the freedom to route it anywhere. As a result, you can make observability costs predictable, surface the most useful insights, and shape your data however you need.
You can use Edge Delta for monitoring your workloads, querying large-scale log datasets, or creating observability pipelines.
Edge Delta is deployed as a software agent within your compute and Kubernetes environments (or as close to the data source as possible). Analysis and the ensuing data optimization all occur at the agent level. The outputs of this process – insights, alerts, summarized datasets, and more – are routed to your various streaming destinations (Edge Delta’s backend, third-party observability and monitoring platforms, data lakes, etc.). During anomalies, new deployments, container version changes, and reported incidents, Edge Delta automatically streams complete raw datasets to your platform(s) of choice.
Using the Edge Delta backend UI unlocks a series of features, including:
All of these features are delivered out-of-the-box, so you can hit the ground running and build a launchpad to complete observability.
The Edge Delta agent uses a proprietary algorithm to detect repeated patterns in log messages.
Edge Delta optimizes observability data by converting logs into metrics.
Edge Delta ingests metrics signals and it calculates metrics from logs.
Edge Delta automatically detects anomalies in observability data.
Engage with observability pipelines.
Edge Delta uses the Vector Test Harness tool for benchmark results.