This guest post is written by Ian Duncan, Staff Engineer - Stability Team at Mercury. To view the original post, go to Ian's website. At work, we use OpenTelemetry extensively to trace execution of our Haskell codebase. We struggled for several months with a mysterious tracing issue in our production environment wherein unrelated web requests were being linked together in the same trace, but we could never see the root trace span.
Not sure which performance metric to use to measure your application performance? Don’t worry – you’re not alone. With a wide variety of options, the task of choosing the right metric can be daunting. This post will help you decide which metric is right for your monitoring needs by discussing the strengths and limitations of each metric.
InfluxData and Dremio have always been at the forefront of embracing open source solutions to enhance their product offerings. This post discusses how both companies currently leverage the Apache Ecosystem and describes the downstream impact these powerful technologies have on their offerings. InfluxData created and maintains InfluxDB, a time series platform.
Most modern infrastructure architectures are complex to deploy, involving many parts. Despite the benefits of automation, many teams still chose to configure their architecture manually, carried out by a deployment expert or, in some cases, teams of deployment engineers. Manual configurations open up the door for human error. While DevOps is very useful in developing and deploying software, using Git combined with CI/CD is useful beyond the world of software engineering.