What is Edge Delta?

Edge Delta is a new approach to 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 operates through an efficient Fleet consisting of agents deployed directly within your computing infrastructure, such as Kubernetes clusters. This deployment strategy places it close to the data sources, facilitating immediate analysis and data optimization on the edge. The Edge Delta Fleet pre-processes data, which includes extracting insights, generating alerts, creating summarized datasets, and performing additional tasks. Processed data is then transmitted to various endpoints in a streamlined manner, including Edge Delta’s processing engine (Edge Delta Back End), external monitoring tools, or data storage solutions.

Key components of Edge Delta’s Fleet are the Processing Agent, Compactor, and Rollup Agent. The Processing Agent executes the pipelines. The Compactor Agent is designed to compress and encode data such as metrics and logs into efficient formats. The Rollup Agent aggregates metric data by optimizing data point frequency and cardinality, which notably reduces storage needs and can accelerate data retrievals.

A Fleet is one or more sets of agents configured with a single Pipeline configuration. One Fleet can consist of agents deployed in multiple different environments, all configured with the same Pipeline.

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 log lines. 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.

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