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Latest posts

Speeding Things Up So Your Queries Can Bee Faster

Honeycomb strives to be a fast, efficient tool; our storage back-end satisfies the median customer query in 250ms (and the P90 in 1.3 seconds). Still, every system has its limits, and customers with large datasets know that querying over a long time range, grouping by high-cardinality columns, building complex derived columns, and throwing a quantile or heat map into the mix can lead to some pretty slow queries. If this sounds familiar: good news!

The True Cost of the ELK Stack

Despite having an extensive feature set and being open source, organizations are beginning to realize that a free ELK license is not free after all. Rather, it comes with many hidden costs due to hardware requirements and time constraints that easily add to the total cost of ownership (TCO). Here, we uncover the true cost of running the Elastic Stack on your own vs using a hosted log management service.

Leveraging The Microservices Transition With Serverless

As managing legacy monlith applications becomes increasingly cumbersome, many companies are investigating how integrating microservices into their application architecture can solve problems related to maintaining and updating the application, safely adding new features, managing scaleability and onboarding new developers.