Always Bee Tracing
If you are running a distributed system and have reached a point of scale where you’re running 5+ services, you are more than likely experiencing difficulties when troubleshooting. Does the following sound somewhat familiar?
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2018: The Year Bee-hind Us
In just a few days, we’ll all be embarking on the new year–kicking its tires and planning our conquests for the months to come. This holiday in-between week, while the days are just barely beginning to get a little longer, seems like a good time to look back on the events of the past year and remember some of the good times we’ve shared–so join me for a little retrospective fun.
How Does Honeycomb Compare to Metrics, Log Management, and APM Tools?
At Honeycomb, we are frequently asked how we compare to what else is out there. Do these other tools offer observability? Do I need them all? What’s important? Metrics? Logs? What’s the best way to monitor application performance?
Visualize your Thundra Monitoring data with Honeycomb
Visualize your Thundra monitoring data with Honeycomb. Identifying critical issues in your stateless serverless environments can be difficult. Often, you are left guessing at where the problems may lie. Learn how to pinpoint critical issues in your AWS Lambda environment with the deep query and end-to-end tracing.
Honeycomb Demo - Ticket API Service - Dec 2018
In this Honeycomb.io demo we will see how the world's fastest tool to visualize, understand, and debug software can do just that. We’ll find a particularly hard problem to solve, super fast; with amazing tools such as Honeycomb BubbleUp!
How Much Should My Observability Stack Cost?
What should one pay for observability? How much observability is enough? How much is too much, or is there such a thing? Is it better to pay for one product that claims (dubiously) to do everything, or twenty products that are each optimized to do a different part of the problem super well? It’s almost enough to make a busy engineer say “Screw it, I’m spinning up Nagios”. (Hey, I said almost.)
Spooky Tales of Testing In Production: A Recap and Lessons Learned
Happy December! Back in October, we cohosted a SPOOKY HALLOWEEN meetup with our pals at LaunchDarkly about testing in production. Here’s a review of the talks we saw!
Marc Devens - Test in Production: The Penny Glitch that Cost Big
A change to a single line of code sent the prices of thousands of products on Amazon to a penny. Taking care of customers and focusing on engineering best practices allowed a company to survive and thrive after a "make or break" event.
Paul Biggar - Test in Production: The Time Our Provider Screwed Us
Once upon a time, our hosted DB provider had a terrible security incident, causing us to take down the entire product for 24 hours. This is a story about the aftermath: the downtime, the incident response, how we got back up, and how we communicated with customers.
Eric Pollmann - Test in Production: Two Tales
First, a tale of a silent-but-deadly data push on a path to take Google Ads fully offline within 90 minutes, with no diagnosis in sight. Second, a zombie haunted pipeline that kept developers awake late into the night. ...each concluded with how we slayed the beast!