Summary

In Chapter 9, Observability with OpenTelemetry, we explored how using Open Telemetry can provide observability into your application and the applications it depends on. We discussed how to set up telemetry for your application using the two most popular backends: Jaeger and Prometheus, which are both written in Go. In Chapter 10, Automating Workflows with GitHub Actions, we showed how you can use GitHub actions to automate your code deployments and how to add custom actions using Go. Finally, in this chapter, we looked at the architecture for interacting with a service. We built an interaction layer using Slack to do operations such as filtering traces, getting the currently deployed version, and showing alerts.

In the next set of chapters, we will talk about how to use Go, and tools written in Go, to ease the burden of working in the cloud. This will cover building standard images that can be deployed to VMs or other node infrastructure. We will show how you can extend...