Introducing Honeycomb Metrics
Presented at o11ycon+hnycon, June 9–10, 2021 Max Edmands, Staff Product Engineer @ Honeycomb Introducing Honeycomb Metrics
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
The latest News and Information on Observabilty for complex systems and related technologies.
Releasing and Debugging Software in Production with Honeycomb
presented at o11ycon+hnycon, June 9-10, 2021 Liz Fong-Jones, Principal Developer Advocate @ Honeycomb Releasing and Debugging Software in Production with Honeycomb
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?
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.
How To Implement Cloud Observability Like A Pro | Pepperdata
Do traditional on-prem observability techniques translate to the cloud? Many big data enterprises lack observability and thus struggle to manage and understand unprecedented amounts of data in the cloud. A monitoring solution may alert to a problem, but it can’t pinpoint the issue or quickly get to the root cause.
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.
Observability and the Monitoring Maturity Model
In incident management, observability is the ability of an organization or team to infer a system's internal state from its external outputs.