Blog

Edge Delta’s AWS Lambda extension reduces serverless observability costs and delivers advanced insights.

Edge Delta’s new feature allows you to gain observability into services and infrastructure in a matter of clicks.

In this webinar, the Edge Delta team broke down how engineers can reduce manual toil, spot unknown unknowns, and speed up investigations.

By converting logs into time-series metrics, users can more easily make sense of massive volumes of data and spot irregularities.

Learn how Splunk’s new Workload Pricing model works, and how you can use Edge Delta in tandem with Splunk Cloud to optimize ingest volume and compute.

Machine Learning is becoming an invaluable resource for DevOps, SRE, and Security teams. Here are three recent examples where ML enabled better observability.

Learn how a services provider that supports thousands of customers worldwide spotted a brute force attack in real-time.

Traditional monitoring vendors require you to centralize their data before analyzing, creating a cost-prohibitive, unwieldy, and slow experience for engineers.

Breaking down how Edge Delta is detecting exploitation attempts, like Log4Shell, within seconds and with zero pre-configuration from DevOps or Security engineers.

A real-world example, demonstrating how Edge Delta’s Anomaly Detection can spot issues in a Kubernetes environment and enable root-cause analysis.

At first glance, seeing the Data Optimization that occurs in Edge Delta seems like a pretty obvious value proposition and a product in and of itself.

Real Time Analysis of Data in the Cloud is Archaic, Expensive, and Limited. Welcome to the future.