Featured 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.
Intercom: Building a More Resilient Ecosystem Through Observability
Watch to hear how Intercom uses distributed traces to streamline their observability workflows, allowing their product engineers to learn about and from their production to increase resilience.
CCP Games: Modernizing a 20-Year-Old Codebase With Observability
Nick Herring, CCP’s Technical Director of Infrastructure, and Liz Fong-Jones, Honeycomb’s Principal Developer Advocate, talk about CCP’s efforts to modernize the stack of EVE Online, and move at the speed of cloud, rather than of mainframe.
Campspot: Confidently Modernize Services With Observability
Kristin Smith joins Developer Advocate Jessica Kerr to talk about how Campspot instrumented Honeycomb quickly and is now leading the way to a modern, reliable, relaxing camping experience for all.
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.
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.
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.
Red Hat: Observability & Refactoring in a Java Monolith: A Diary of Digging Out
This talk covers hard lessons learned by a small team at Redhat 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Eaze Into Observability
Join us to learn how Eaze reduced the costs of running their service and increased customer happiness at the same time.
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.
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.
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.
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.
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.
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.
Honeycomb Beelines Verify Fast Time to Value at hCaptcha
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.
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.
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.
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.