Operations | Monitoring | ITSM | DevOps | Cloud

Among the 12 greatest stressors in life, six revolve around healthcare issues. From loss of a loved one to pregnancy and even retirement, these events often involve interactions with healthcare services — interactions that can either add to an individual’s stress or, ideally, help alleviate it.

Organizations of all sizes rely on their observability data to drive critical business decisions. Production Engineers across Development, ITOps, and Security use it to understand their systems better, respond to issues faster, and ultimately provide more performant and secure user experiences. But while the value of observability data is well understood, teams struggle to derive value from it.

As long as humans have written software, we’ve needed to understand why our expectations (the logic we thought we wrote) don’t match reality (the logic being executed). To that end, we developed techniques to help measure reality—logging text strings, or capturing aggregated metrics—and persevered, seeking out newer and fancier logging or monitoring solutions over the intervening decades.

If you’re finding it a little difficult to sift through all the varying, often conflicting information surrounding the topic of network observability, you’re certainly not alone.

Today, we're announcing the launch of Honeycomb Service Map. This isn't your grandparent's version of a service map. This feature reimagines what it is that you want to know or investigate when looking at visualizations of how your services communicate with one another.

If you build or maintain code in GitHub, the Honeycomb Buildevents Action can help you optimize the performance of your build pipelines in GitHub Actions. This blog introduces you to the gha-buildevents Action and a new hands-on quickstart guide that will show you the inner workings of GitHub Actions workflows, the buildevents tool, and the Honeycomb UI.

Understanding if your applications are not just available but also functioning as expected is critical for any organization. Third-party dependencies and different end-user device types means that infrastructure monitoring and application observability alone are not enough to spot and minimize the impact of application anomalies.