Fewer Logs, More Value
We’re always interested in improving the signal-to-noise ratio of our internal telemetry at Honeycomb. In an effort to reduce the amount of noise in our...
Ingesting JSON Logs From Containers With the OpenTelemetry Collector
So, how do we get JSON logs into a backend analysis system like Honeycomb that primarily accepts OTLP data? In this post, we’ll cover how...
Tracing the Line: Understanding Logs vs. Traces
In the software space, we spend a lot of time defining the terminology that describes our roles, implementations, and ways of working. These terms help...
Tame Your Telemetry: Introducing the Honeycomb Telemetry Pipeline
Observability means you know what’s happening in your software systems, because they tell you. They tell you with telemetry: data emitted just for the people...
Debugging Kubernetes Autoscaling with Honeycomb Log Analytics
Let's be real, we've never been huge fans of conventional unstructured logs at Honeycomb. From the very start, we've emitted from our own codestructured wide...
Unlock the Real Value of Logs With Honeycomb Telemetry Pipeline and Honeycomb for Log Analytics
At Honeycomb, we know how important it is for organizations to have a unified observability platform. This is why we’re launching Honeycomb Telemetry Pipeline and...
An Engineer’s Checklist of Logging Best Practices
The best DevOps and SRE teams have shifted their approach to monitoring and logging their systems. These teams debug problems cohesively and rationally, regardless of...
Getting Started With Log Management
Whether you’re using logs to debug issues, keeping an eye on system performance, or protecting your infrastructure, good log management hygiene can make a huge...
Confidently Shifting from Logs-Centric to a Unified Trace-First Approach: Ritchie Bros. Journey to Modern Observability
Transitioning from a monolithic system to a cloud-native microservices environment, Ritchie Bros. sought to modernize their observability infrastructure to support the transition and fuel future...
Empowering Engineering Excellence: Achieving a 26% Reduction in On-call Pages at Amperity with Modern Observability for Logs
Amperity required an observability partner to facilitate their transition into the modern engineering era as their previous tooling struggled to support their growth strategy....
Rocking the Logs: Fender's Journey to Modern Observability
Fender faced challenges with log analysis, finding it slow and complex to navigate, leading to inefficient troubleshooting and a need for a more user-friendly and...
Twelve-Factor Apps and Modern Observability
The Twelve-Factor App methodology is a go-to guide for people building microservices. In its time, it presented a step change in how we think about...
Surface and Confirm Buggy Patterns in Your Logs Without Slow Search
Incidents happen. What matters is how they’re handled. Most organizations have a strategy in place that starts with log searches—and logs/log searching are great, but...
User Tips: Sending NGINX Logs to Honeycomb
You use NGINX as a proxy for your application, and you want to leverage Honeycomb's amazing features to help make sense of the traffic data....
Ingesting HTTP Access Logs from AppService
Debugging application performance in Azure AppService is something that’s quite difficult using Azure’s built-in services (like Application Insights). Among some of the issues are visualizations,...