Operations | Monitoring | ITSM | DevOps | Cloud

The Business Case for Observability with Context

My team was not happy with me. I had just convened a meeting of my direct reports — and the managers that reported to them — to deliver the news personally. “No more new tools,” I told them. “We have everything we need to do our job. Our environment just doesn’t change that fast. So stop bringing me requests for new tools. The answer is no.” It was unquestionably the right call at the time, but today, it would be laughable.

Mix & Match! Tracing Header Interoperability Between OpenTelemetry and Beelines

We’ve released support for tracing header interoperability in all of our Beelines. This means you can now mix and match distributed services instrumented with Beelines or with OpenTelemetry, and your traces will be preserved in Honeycomb!

The importance of metadata in your Kubernetes observability initiatives

Kubernetes is a popular container orchestration system at the heart of the Cloud Native Computing Foundation projects. It automates the deployment, lifecycle, and operations of containers, containerized applications, and "pods," which are groups of one or more containers. The platform itself, along with each of these workloads, may generate event data. There are different kinds of data associated with these processes.

Infrastructure Observability with Resource Events

You may have seen the Honeycomb white paper on metrics, and want to use the power of Honeycomb with metrics. Sending infrastructure metrics data to Honeycomb has always been possible, but with our focus on debugging the user experience inside the application, it isn’t the first or most obvious thing to do. This post will discuss why we use metrics in general and how to think about metrics in Honeycomb.

HAProxy Log Sampling

Log Sampling is a powerful feature introduced in HAProxy 2.0 that lets you define a percentage of your logs to create a representative view of your data allowing you to minimize your costs. Log files are the key to observability. They can provide helpful information that can be used for debugging as well as analytics that can be used to understand how users interact with an application.

Achieve Better Observability into AWS Services with the AWS CloudWatch Monitoring Template

Amazon CloudWatch — Amazon’s built-in infrastructure monitoring tool — monitors your Amazon Web Services (AWS) resources and the applications you run on AWS in real time. Here’s what you can do with this tool and how to access AWS CloudWatch monitoring dashboards.

Announcing Honeycomb's extension for the AWS Lambda Runtime Logs API

Today, AWS announced the AWS Lambda Runtime Logs API, a new way to easily send logs from AWS Lambda functions directly to your destination of choice. AWS Lambda Extensions, announced in October, provide the ability to run code in parallel that is independent of your function’s lifecycle. We’ve created an extension that utilizes the Lambda Runtime Logs API to send your logs directly to Honeycomb.

Measure Customer Value with Self-Service Observability

DevOps practices, and the teams that implement them, are becoming increasingly critical to the value which any company provides its customers. This was the key message throughout a recent fireside chat between DevOps Institute Chief Ambassador Helen Beal and Moogsoft VP of Product and Design Adam Frank. A great paradox of the digital era is that, once written, software is invisible to those who write it.