Operations | Monitoring | ITSM | DevOps | Cloud

May 2022

Tracking On-Call Health

If you have an on-call rotation, you want it to be a healthy one. But this is sort of hard to measure because it has very abstract qualities to it. For example, are you feeling burnt out? Does it feel like you’re supported properly? Is there a sense of impending doom? Do you think everything is under control? Is it clashing with your own private life? Do you feel adequately equipped to deal with the challenges you may be asked to meet? Is there enough room given to recover after incidents?

The Present and Future of Arm and AWS Graviton at Honeycomb

As many of you may have read, Amazon has released C7g instances powered by the highly anticipated AWS Graviton3 Processors. As we shared at re:Invent 2021, we had the chance to take a little sneak peek under the Graviton3 hood to find out what even more performance will mean for Honeycomb and our customers.

Quickly Turn ALB/ELB Status Codes into an Issue-Seeking Heatmap

More often than not, as developers, when we get a report that a large customer is hitting 502 errors, there's a flurry of activity. What's wrong? Is something deeply broken? So you start digging through AWS logs to see what you can find, but it's hard to reproduce. Sometimes, there's no clear answer, and you move on without any resolution. What if I told you it doesn't have to be this way?

Ask Miss O11y: Not Your Aunt's Tracing

Dear Miss O11y, How is modern observability using tracing, such as Honeycomb, different from the previous distributed tracing software I'm familiar with, like Dapper, at my company? I haven't really been able to wrap my head around Dapper. Does "advanced" observability mean that it's even more complicated than Dapper is? Auntie Alphabet.