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,...
Announcing Honeycomb’s extension for the AWS Lambda Runtime Logs API
The AWS Lambda Runtime Logs API is a new way to easily send logs from AWS Lambda functions directly to your destination of choice. Using...
"Hot-take" on 3 Popular Open Source Tools & The Observability Landscape
New eGuide takes a closer look at Prometheus, ELK and Jaeger: Open source tooling has its benefits. No licensing costs and you’re free to download,...
The Path from Unstructured Logs to Observability
Are you starting out on your journey toward observability? Do you have a mandate from management, or are you a lone warrior in the matrix?...
Understand Your AWS Cost & Usage with Honeycomb
First published in August 2019. AWS bills are notoriously complicated, and the Amazon Cost Explorer doesn’t always make it easy to understand exactly where your...
The True Cost of “Search-First” Problem-solving on Your Production Systems
The search-first problem-solving approach—meaning “open up the log search tool” (Splunk, ELK, Loggly, SumoLogic, Scalyr, etc)—is a costly and time-consuming operation during which the true...
Metric Analysis, Application Performance Monitoring, and Log Management: Where Does Honeycomb Fit In?
If you’re involved in improving the performance of your application, you’ve probably heard about application performance monitoring (APM), metric analysis, and log management. But you...
How Much Should My Observability Stack Cost?
What should one pay for observability? What should your observability stack cost? What should be in your observability stack? How much observability is enough? How...
How Are Structured Logs Different From Events?
We're all collectively trying to define observability ("o11y," pronounced "olly") these days, and, as Honeycomb is sometimes described as an event-based observability product, trying to...