Learn OpenTelemetry tracing with this lightweight microservices demo(timescale.com)
timescale.com
Learn OpenTelemetry tracing with this lightweight microservices demo
https://www.timescale.com/blog/learn-opentelemetry-tracing-with-this-lightweight-microservices-demo-tentative/
2 comments
Hey rudasn, I'm Ramon, the author of the blog post.
You can definitely use the tools mentioned in the blog post on bare metal as well. All components in the demo environments described in the blog post run on Docker on a host, no Kubernetes or cloud services. It would also be possible to run them directly on the host with no Docker.
Usually the challenge is that many of those tools have have been designed with microservices and cloud native environments in mind. So typically they are easier to set up in those environments and most of the documentation you'll find online is about those types of setups.
You can definitely use the tools mentioned in the blog post on bare metal as well. All components in the demo environments described in the blog post run on Docker on a host, no Kubernetes or cloud services. It would also be possible to run them directly on the host with no Docker.
Usually the challenge is that many of those tools have have been designed with microservices and cloud native environments in mind. So typically they are easier to set up in those environments and most of the documentation you'll find online is about those types of setups.
It all seems cloud native these days and I'm not sure if it's worth the time investment to learn these tools.. Our in-house solution is a set of systemd services to collect data (write to log files, read lines from log files) and push to a remote nodejs/express service that holds recent values and averages in memory to display a spreadsheet-like dashboard with colored cells (signaling status) and basic sms/email alerts..
It works, it's fast, it's cheap, but there's many things missing (APM specifically, log analysis etc)