Logging tool no more. 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.
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.
LaunchDarkly More Confident 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.
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.
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.
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.
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.
Honeycomb Beelines Verify Fast Time to Value at hCaptcha
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.
How Intercom sped up their busiest endpoint (by as much as 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 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.