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Making Instrumentation Extensible

Observability-driven development requires both rich query capabilities and sufficient instrumentation in order to capture the nuances of developers’ intention and useful dimensions of cardinality. When our systems are running in containers, we need an…

Reflections on Monitorama 2019

This year was my third in a row attending (and now speaking at!) Monitorama. Because the organizers do a great job of turning introverts into extroverts for three days straight, it’s always a fun…

Investigating Timeouts with Tracing

Tracing is one of the key tools that Honeycomb offers to make sense of data. Over the last few weeks, we’ve made a number of improvements to our tracing interface — and, put together,…

Toward a Maturity Model for Observability

Access to observability is becoming critical to organizations shipping software, running modern infrastructures in production, and to understanding how users are experiencing their service. To achieve success in delivering a complex service, it’s no…

Welcome (to) Home

Our latest product update features an intuitive home (landing) page that orients users with a quick, real-time view into what’s happening right now in your production systems. Home displays commonly used queries and breakdowns,…

Dynamic Sampling by Example

Last week, Rachel published a guide describing the advantages of dynamic sampling. In it, we discussed varying sample rates to achieve a target collection rate overall, and having different sample rates for distinct kinds…