Operations | Monitoring | ITSM | DevOps | Cloud

How can we send less data without losing information? Sampling removes duplication among distributed traces, while keeping all the interesting ones. See how this works with Honeycomb and Refinery.

Honeycomb is an observability platform. What is special about it? Besides first-class support for OpenTelemetry, Honeycomb works with your existing data, especially logs. In this video, experience what working in Honeycomb is like. See you at Honeycomb.io!

Honeycomb released a new feature today: temporary calculated fields. Check conditions, do math, and complicate your query. Honeycomb evaluates it all at runtime. Then save the field for posterity if you choose!

What is observability? And why does it matter? Charity Majors gives an excellent overview.

With Honeycomb, you can use traces and wide attributes to find out who is spiking your cloud costs. Simply add attributes to your Lambdas and other serverless traces, use triggers to alert your team, and run Honeycomb Queries. This short video shows you a simple query flow.

I have a performance problem with my web application. This video shows how I use Honeycomb's Frontend Observability Web Launchpad to quickly identify the symptoms causing the slowdown.

Honeycomb Service Level Objectives (SLO) can notify your team when one of your error budgets are being exhausted. See how the SLO view gets you from zero information to identification in one click!

As a software developer, how is observability relevant to me? What is this OpenTelemetry thing? Austin Parker gives a great overview.

Charity breaks down the progress in Observability in recent years: there's a sea change underway. This is not an incremental improvement, but a radical shift in how we understand the software we build.

Charity Majors brought the word "observability" into software. Now she describes the one major shift that we need to get more out of observability at lower cost.