🎉 Product Launch: Edge Delta now supports ingestion of Kubernetes metrics. Read about the update here.
Ideas, announcements, and transmissions from our team
Earlier this year, Datadog released Flex Logs to help customers store infrequently accessed log data more cost-effectively. In this blog post, we talk through the advantages...
Up to 50% of your indexed log data can provide little-to-no quantifiable value. This blog details how to identify and re-reroute this data to drive greater efficiency.
By embracing edge processing and routing data to different destinations, observability teams can mitigate the effects of data gravity.
David Wynn recently joined our team as Principal Sales Architect, after lengthy stints at Sumo Logic and Google Cloud. In this article, David shares his experience and the...
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.
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