DEVOPSdigest

Edge Delta announced new capabilities for dynamically processing and routing logs, metrics, and traces -- allowing DevOps, Security, and SRE teams to analyze large volumes of streaming data without the cost, delay, or complexity of requiring data to be indexed, helping customers decouple where machine data is analyzed from where it is stored.

Edge Delta releases new capabilities for dynamically processing and routing logs, metrics, and traces. This innovative approach for observability and monitoring allows DevOps, Security, and SRE teams to analyze large volumes of streaming data without the cost, delay, or complexity of requiring data to be indexed.

Developed by Ozan Unlu, CEO and Fatih Yildiz, CTO, Edge Delta is taking a modern approach to observability by giving enterprises the ability to use distributed stream processing and federated machine learning capabilities for intelligent, dynamic, and automated data routing to optimal destinations. Rather than neglecting datasets to solve for technical and financial constraints, organizations now have access to limitless analytics and unparalleled visibility leading to significant operational efficiencies and predictability that was previously not possible.

Modern enterprises and leaders in the market are making significant investments in observability. Integrating, enriching, and improving the capabilities of platforms such as Splunk, Datadog, Elastic, Snowflake, New Relic, and Sumo Logic - Edge Delta provides companies with observability pipelines to achieve the insights and the context to make informed decisions.

As part of the announcement, Edge Delta Intelligent Observability Pipelines are now available in limited beta supported as both a SaaS service as well as On-Premise.