Blog

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.

Application and website users expect instant response times. Even the slightest delay will cause folks to close down your software and move onto something else.

Ahhh, the “Three Pillars of Observability”, a Holy Land or Nirvana of sorts. Over the last few years it’s no secret that Monitoring and Observability platforms have been...