What is Edge Delta?

Observability pipelines, logs, and metrics enabled by a next-generation architecture built to analyze petabytes on any budget.

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.

Architecture

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.

Features

Using the Edge Delta backend UI unlocks a series of features, including:

  • Kubernetes Overview to visualize the health and volume of data being generated by each of your Kubernetes resources.
  • Log Search to store and query any volume of data without going over budget.
  • Workloads to monitor the “golden signal” metrics and relevant log data across all workloads.
  • Patterns to cluster together repetitive loglines. This feature makes it easy to interpret each log message, understand how frequently it’s occurring, and whether it needs to be investigated further.

All of these features are delivered out-of-the-box, so you can hit the ground running and build a launchpad to complete observability.


Edge Delta Log Patterns

The Edge Delta agent uses a proprietary algorithm to detect repeated patterns in log messages.

Log to Metric Conversion in Edge Delta

Edge Delta optimizes observability data by converting logs into metrics.

Edge Delta Metrics

Edge Delta ingests metrics signals and it calculates metrics from logs.

Edge Delta Anomaly Detection

Edge Delta automatically detects anomalies in observability data.

Edge Delta Visual Pipelines

Engage with observability pipelines.

Edge Delta Benchmarks

Edge Delta uses the Vector Test Harness tool for benchmark results.