Resource Library

We help people observe, debug, and improve their systems.
Dive into our resources to find out more.

Featured Content
Select
Featured Content
TOPICS
EDUCATION
RESOURCES

Customer Stories

Featured Case Study

Honeycomb + Odyssey

Hear from Odyssey Interactive to learn how they implemented Honeycomb to accelerate development time and resolve issues quickly.

Webinar

FireHydrant Implements Honeycomb for Distributed Tracing to Reduce MTTR

FireHydrant’s Gonzalo Maldonando and Jeff Zellner explore how Honeycomb’s event-driven observability helped reduce MTTR.

Case Study

How CCP Games Used Honeycomb to Modernize and Migrate its Codebase

Welcome to the world of EVE Online, where hundreds of thousands of players interact across 7,800+ star systems and participate in more than one million daily market transactions. As you might guess, updating and maintaining this codebase without interrupting game play could pose quite a challenge.

Case Study

Jack Henry Incorporates BubbleUp and Honeycomb’s New Service Map to Quickly Debug Issues and Get Ahead of Customer Latency

In a recent technical session, we sat down with user Zach McCoy, Principal Staff Engineer at Jack Henry, and learned more about how they are implementing Service Map and BubbleUp to surface issues early and get ahead of customer latency. 

Case Study

How Coveo Reduced User Latency and Mean Time to Resolution with Honeycomb Observability

Coveo, an intelligent search platform that uses AI to personalize customer interactions, used a successful POC to jumpstart its Honeycomb observability journey—which has grown to include 10,000+ machine learning models in production at any one time.

Case Study

SumUp Uses Honeycomb to Improve Service Quality and Strengthen Customer Loyalty

Observability engineering lead, Blake Irvin, and Senior Software Engineer Matouš Dzivjak share how SumUp’s rapid growth spurt compelled them to change their resolution process—both logistically and culturally—to ensure a service level quality that reflects their customer obsession.

Case Study

NS1 Implements Honeycomb to Democratize Their Code and Spark Customer Joy

The line from observability to customer joy is straighter than you think. We recently learned this from NS1, a managed DNS provider and Honeycomb customer, in a panel discussion with Nate Daly, Head of Architecture at NS1, and Chris Bertinato, Software Architect at NS1. 

Case Study

Intercom Accelerates Developer Productivity With Observability and Distributed Tracing

Intercom’s mission is to strengthen the relationship between businesses and their customers through better communication. With that in mind, they began their journey towards complete observability to improve their development pipeline to be able to ship more quickly and efficiently.

Case Study

HelloFresh Improves Organization-Wide Performance With Honeycomb

HelloFresh, the world's leading meal kit company, provides customers across 14 countries with wholesome, homemade meals with no shopping and no hassle. See how HelloFresh uses Honeycomb to help its service teams focus on creating business value by experimenting and delivering new features by reducing the friction of toiling against infrastructure and production issues.

Webinar

Mode Analytics: Hot-Swapping Active Production Services Reliably With Honeycomb

The Mode Analytics backend team is updating different services in their stack by hot swapping them in production. Watch this webinar to learn how to create a migration validation strategy with feature flags, error reporting, and observability, use OpenTelemetry to provide any custom insights you need, and breakdown complex service migrations into manageable milestones with Honeycomb.

Conference Talk

Vanguard's Adoption Journey: How Honeycomb Helps Shape Developer Workflows

After evaluating multiple approaches to distributed tracing, Vanguard ultimately landed on using OpenTelemetry and Honeycomb. Now, they have hundreds of teams using Honeycomb, with a different mentality to the way they run and manage production. One example is a team using SLOs for a critical service. A burn alert came through, and they were able to remediate this issue before it became customer-impacting.

Conference Talk

Red Hat: Observability & Refactoring in a Java Monolith: A Diary of Digging Out

This talk covers hard lessons learned by a small team at Red Hat over the past few years as they struggled to refactor a monolithic service to a more scalable and resilient architecture. In this talk, John covers the lessons they've learned about observability, production support effectiveness, and the cost of bad or inadequate solutions. They made more than a few mistakes like repeatedly under-appreciating the value of operational features and support infrastructure, and falling prey to the rush of shipping features while neglecting their service's operational health.

Conference Talk

Intelligent Medical Objects: The Curious Case of the Latency Spike

Michael covers false starts during early issue investigation including cold starts, provisioned concurrency, and function memory limits. You'll learn how and why increasing application observability enabled his team to bypass invalid assumptions about root causes of poor application performance, how they moved from guessing to knowing, and how that focus helped them fix application behaviors that most directly impacted our customer experience.

Conference Talk

Honeycomb Battle Scars: Lessons From Honeycomb Customers

This session is a roundtable discussion with speakers you've heard from throughout the conference. Each speaker will share their one biggest pain point they've had, lesson learned, or thing they wish they would have known about Honeycomb and observability sooner. Listen to this session to hear practical lessons that can help you and your team avoid developing some of these same scars the hard way.

Case Study

How Glide Reduces Costs and Identifies Optimization Opportunities With Honeycomb

Glide lets anyone easily create and distribute mobile apps generated from spreadsheets—their top priority is ensuring the apps their customers create are working as intended. Honeycomb enabled the Glide team to better understand a once-opaque cloud architecture so they can better support customers, reduce costs, and run experiments to identify optimization opportunities.

Webinar

How to Create Happy User Experiences by Leveraging SLOs: The ecobee Story

Pierre Tessier, Solutions Architect at Honeycomb, and Chuck Daminato, Staff SRE at ecobee, take the virtual webinar stage for a discussion on how to get started with SLOs. Chuck shares the process his team followed to get up and running with SLOs. They also debunk common myths to help you feel more confident in the process and excited about the outcome.

Webinar

Building with Observability: Using CircleCI and Honeycomb to achieve production excellence

If you find it challenging to sift through alerts for crucial notifications, we want to show you how Service Level Objectives (SLOs) help reduce alert fatigue and improve system reliability.

Case Study

Outreach Engages Their Production Code with Honeycomb

Outreach is the number one sales engagement platform with the largest customer base and industry-leading usage. To more proactively understand issues in production, the team built on a culture of production ownership to adopt observability practices with Honeycomb.

Webinar

Progressive Delivery: Using feature flags & observability to ship confidently

Progressive delivery lets you see whether or not new changes will benefit users before they’re really released. This webinar explores how to use progressive delivery, feature flags, and observability together.

Case Study

Bees Working Together: How ecobee’s Engineers Adopted Honeycomb

For ecobee squads, using Prometheus and Grafana for system and application monitoring helped identify broad aggregate performance issues like spikes in latency.

Case Study

Observability Sheds Light on Dark’s Business Growth and Customer Scaling Needs

Dark’s engineering team relied on logs to understand how users interacted with their platform. But a desire for both deeper understandings of user behavior throughout the platform and a need for better visualizations drove the team away from Stackdriver and toward observability-driven development with the adoption of Honeycomb.

Case Study

SEDNA’s Product Team Reduces Reliance on Internal Team Knowledge with Honeycomb

SEDNA's Product team wanted to consolidate and bring consistency to their monitoring and alerting. Incident response relied too much on team-member's knowledge, and that didn't work so well when they went on vacation. Consolidating all that experience inside a reliable tool like Honeycomb, that resolved long-standing tickets which helped customers and unburdened the team, was the result SEDNA needed.

Case Study

Optimizely Innovates Safely At Speed with Honeycomb

Being able to ask any question and get answers fast with Honeycomb meant Optimizely could take an "evolutionary step" and deliver their fastest, most lightweight customer experience yet--up to 20 times faster--without paying for a team of architects and DBAs on the back end.

Webinar

Eaze Into Observability

Join us to learn how Eaze reduced the costs of running their service and increased customer happiness at the same time.

Case Study

Student Beans Solves Issues, Levels Up Immediately with Honeycomb

The team at Student Beans weren't able to locate issues or trust the data they were getting from their cumbersome and slow ELK stack without making a huge financial investment. Instead, they regained confidence in their data and began finding and resolving problems with their service they'd never been able to before, at a fraction of the price, with Honeycomb.

Case Study

Gamers Won’t Wait: Dead By Daylight Gets Some Sweet Attention

The team at BHVR use Honeycomb to troubleshoot performance issues in production and are able to identify the source of latency across multiple third-party services running Node.js on AWS.

Case Study

Geckoboard Gets the Context They Need to Keep Customers Happy Without Breaking the Bank

Geckoboard built their own system health dashboards and have been using standard log search tools since the time when log search was new and shiny. But as their business has scaled up, so has their need to understand specifically who is affected by a given issue.

Case Study

LaunchDarkly Guesses Less, Knows More With Next-Gen APM

With Honeycomb, LaunchDarkly's team is solving the problems they couldn’t before. They were recently able to identify and resolve an issue related to a bug in the AWS ALB that was affecting a subset of customers that use the LaunchDarkly service in a very specific way.

Case Study

Preventing Bad Actors from Spoiling the Show at carwow

carwow's team used Honeycomb to identify a hacker affecting the experience of everyone else on their site by breaking down by IP and endpoint when their previous APM tool couldn't tell them where the problem was.

Case Study

Biba Gets Immediate Value with Honeycomb Beelines

In search of instant access to observability and top-tier performance for their demanding users, the team at Biba use the Honeycomb Beelines for Go and Node.js to auto-instrument their code running in Google Cloud infrastructure.

Case Study

Honeycomb Beelines Verify Fast Time to Value at hCaptcha

hCaptcha uses Honeycomb to explore customer experience and resolve issues in production before customers notice, getting extra value out of automatic instrumentation of their Python and Javascript apps with Beelines.

Case Study

Honeycomb Tracing Drives Efficiencies as carwow Scales

The explosive growth at carwow meant they needed Honeycomb Tracing to understand the complexity ineherent in their architectural decisionmaking, decoupling systems and passing requests across multiple apps using Kafka hosted on Heroku.

Case Study

Intercom Speeds Up Their Busiest Endpoint by 50%

Intercom's engineering teams used Honeycomb to slice and dice how their code performed across many dimensions and were able to decide how best to refactor systems across their complex distributed architecture while reducing spend.

Case Study

Honeycomb at Fender: Faster Answers, Happier Customers

Fender's platform team uses Honeycomb to provide top-tier service to their customers via their AWS Lambda and Go architecture, allowing them to investigate and solve issues faster than their ELK stack can.

Case Study

Honeycomb at Tapjoy: Faster Time to Confidence with Observability

Tapjoy's engineers get greater confidence and save days of effort when cutting over services for their attribution partners using Honeycomb for visibility into their monolithic Rails setup.

Case Study

Intercom <3 Honeycomb

Intercom uses Honeycomb to drill into customer-facing issues in their Ruby and Go code with great precision and performance. By breaking down message matching duration by customer, one customer was a huge outlier accounting for 55% of all server time.
Scroll to Top