Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. Many software engineers are encountering LLMs for the very first time, while many ML engineers are being exposed directly to production systems for the very first time.

Observability dashboards are powerful tools that enable teams to visualize and monitor the performance, health, and behavior of their applications and infrastructure. However, building observability dashboards is not a straightforward task, and many organizations make common mistakes hindering their ability to gain meaningful insights and respond to issues effectively.

OpenTelemetry is more than just becoming the open ingestion standard for observability. As one of the major Cloud Native Computing Foundation (CNCF) projects, with as many commits as Kubernetes, it is gaining support from major ISVs and cloud providers delivering support for the framework. Many global companies from finance, insurance, tech, and other industries are starting to standardize on OpenTelemetry.

TL;DR: Sometimes I get hung up in the scientific definition of "experiment." In daily work, take inspiration from it. Mostly, remember to look at the results.

Observability has been tied up with causality from its origins in the mathematical realm of control theory in the early 1960s. A system (of any kind, hardware or software, natural or engineered) was deemed to be ‘observable’ if it generated self-descriptive data from which it was possible to infer how states of the system were causally related to one another.

Whether you’re a new Honeycomb user or a seasoned expert looking to uncover fresh insights, chances are you’ve sent tremendous amounts of data into Honeycomb already. The question is, now what? We have the answer: Board templates. Teams can now create Boards based on pre-built templates that generate visualizations with a single click.

In today's cloud-native landscapes, observability is more than a buzzword; it's a critical element for software development teams looking to master the complexities of modern environments like Kubernetes. There’s a multi-faceted nature to observability with all its various levels and dimensions — from basic metrics to comprehensive business insights. It’s complex and can continue indefinitely…if you let it.