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Honeycomb

Conditional Distributed Tracing

Distributed tracing is generally a binary affair—it's off or on. Either a trace is sampled or, according to a flag, it's not. Span placement is also assumed to be an "always-on" system where spans are always added if the trace is active. For general availability and service-level objectives, this is usually good enough. But when we encounter problems, we need more. In this talk, I'll show you how to "turn up the dial" with detailed diagnostic spans and span events that are inserted using dynamic conditions.

Observability is More Fun With Friends: Stories From OpenTelemetry Collaboration

Panel Guests: Amy Tobey | Equinix Metal, Andrew Hayworth | GitHub, Liz Fong-Jones | Honeycomb, Ted Young | Lightstep The modern open source landscape is hard enough, given the (sometimes) conflicting interests of commercial partners, end-users, and project maintainers. It takes a real, intentional effort to build collaborative relationships across these groups in order to make improvements to projects. In this panel, we'll share stories about what's worked from our involvement in OpenTelemetry as maintainers, community representatives, and end-users.

OpenTelemetry, Not Just for Production Troubleshooting

OpenTelemetry, Not Just for Production Troubleshooting: How to Prevent Downtime as Early as Local Dev OpenTelemetry is a great tool for observability and debugging in production. It provides you with data that empowers understanding of what is slow or broken, as well as what you can do to fix problems that occur in production. But what if you could leverage those same OpenTelemetry capabilities in pre-production? What if you could use those capabilities during development and testing phases to proactively prevent downtime in production?

Data Availability Isn't Observability

But it’s better than nothing… Most of the industry is racing to adopt better observability practices, and they’re discovering lots of power in being able to see and measure what their systems are doing. High data availability is better than none, so for the time being, what we get is often impressive. There’s a qualitative difference between observability and data availability, and this post aims to highlight it and orient how we structure our telemetry.

The State of Observability in 2021

Today, we released our second annual Observability Maturity Community Research Findings report. This year-over-year report identifies trends occurring in the observability community that we use to further develop our Observability Maturity Model. Our goal in running this annual report is to understand community perceptions and awareness of observability, how engineering teams are approaching observability, and mapping an observability maturity model that reflects current research findings.

A New Approach to Metrics

Today at o11ycon+hnycon—right now, actually, if you’re reading this blog when it was posted—we’re announcing several new Honeycomb features during the keynote. Our industry and community have come a long way since we burst onto the scene, and I’m delighted to give you another version of Honeycomb that continues to demonstrate what’s possible with observability. And it includes metrics.

Easily Debug Your AWS Lambda Functions With Honeycomb

With the Honeycomb extension for AWS Lambda, you no longer need to make your Lambda functions Honeycomb-aware. Today, AWS announced the general availability of AWS Lambda Extensions, which make it easy for us to send logs from your Lambda functions directly to Honeycomb. In October, we announced Honeycomb’s extension for AWS Lambda as part of a preview launch. Today, we’re pleased to announce everyone can now use this extension to easily debug their AWS Lambda functions with Honeycomb.

ICYMI: How Honeycomb Can Help You Achieve the Deployment Part of CI/CD

In case you missed it, this webinar includes code walkthroughs that help you to add observability to your pipelines (using a free Honeycomb account!) so that you and your team can speed up your deployments to prod. This is also a risk-free way to get started with observability if your team isn’t quite yet ready to change your production apps.

6 Steps to Getting Started With Observability

During my office hours, I frequently get asked for practical tips on getting started with observability. Often it’s from folks on teams who are already practicing continuous delivery (or trying to get there) and are interested in more advanced practices like progressive delivery. They know observability can help—but as individual contributors—they don’t sign the checks, so they feel powerless to help get their team started with observability.