Blog

In celebration of the spookiest day of the year, we wanted to share our top twelve scariest situations that developers often struggle with – situations so ominous and...

Plug the gaps in your approach to Kubernetes observability and ensure that you not only collect and analyze observability data, but do so in a way that drives meaningful,...

Learn the differences between observability vs. monitoring and the context of it within a Kubernetes ecosystem.

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.

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...

Maybe you’re looking at a small screenshot within an alert on your phone, maybe you’re looking at a screen on the other side of the operations center, maybe you’re looking at...