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Life at Sentry: Meet Chloe Condon, Developer Evangelist(a)

In our appropriately named Life at Sentry series, we talk to Sentry employees about what life is like at Sentry (and how they ended up here). In this edition, we’re chatting with Chloe Condon, Developer Evangelist(a) at Sentry, about stumbling into tech, imposter syndrome, and not getting cast as Carrie in “Carrie: The Musical.” Take a look at our available jobs if you’re interested in joining us.

How to Start Logging & Invite Team Members in LogDNA's Log Management System

LogDNA is the easiest, fastest log management tool available. Our head of DevOps Ryan Staatz showcases how to get started with LogDNA, ingest logs from numerous platforms - Linux, Kubernetes, Docker, Linux, Syslog, etc., then add team members to join a central organization for centralized log management and analysis.

The Real Cost of Healthcare Miscommunication

Miscommunication isn’t just about the frustration that ensues when direction isn’t followed or understood by colleagues. For the healthcare industry, miscommunication could mean the loss of billions of dollars and endangering the lives of patients. That’s why physicians must implement a clinical communication solution to avoid the risks associated with poor, care team collaboration methods.

Icinga 2.9.1 released

Icinga 2.9.0 provided many many bugfixes and one change has unfortunately been overseen. If you use an init system different to Systemd (e.g. Sysvinit) or the “-d/–daemonize” option in your containers, issue #6445 causes troubles. This is visible with logging, cluster connects, IDO database writing. Users reported problems on CentOS 6, SLES 11, Ubuntu 14, Debian 8, Gentoo (both with Sysvinit).

Level Up With Derived Columns: Bucketing Events For Comparison

When we released derived columns last year, we already knew they were a powerful way to manipulate and explore data in Honeycomb, but we didn’t realize just how many different ways folks could use them. We use them all the time to improve our perspective when looking at data as we use Honeycomb internally, so we decided to share. So, in this series, Honeycombers share their favorite derived column use cases and explain how to achieve them.