Observability is key when working on Distributed Systems, it allows us to understand the behavior of an application and troubleshoot problems.
Observability consists, among other things, in instrumenting services, collecting their metrics and saving their logs with the whole point of making sure all those 3 streams of data are connected in a sane way so we can use that information to learn about their behavior and understand what exactly is happening.
OpenTelemetry is the de-facto Open Source solution for Observability, together with well-known projects like Jaeger, Zap and Promethus it allows us to collect metrics and details regarding the flow of our services, how they communicate with each other, however keep in mind that at the time the Go support for OpenTelemetry is still in progress so may want to consider a few commercial options instead, like:
■ NewRelic [ Ссылка ],
■ DataDog [ Ссылка ], and
■ LightStep [ Ссылка ]
== Relevant links
■ Example code: [ Ссылка ]
■ Golang Microservices: Observability using OpenTelemetry: [ Ссылка ]
■ Software Architecture in Golang: Testability: [ Ссылка ]
■ Software Architecture in Go/Golang: [ Ссылка ]-
■ Distributed Systems Observability: [ Ссылка ]
■ Microservices Patterns: [ Ссылка ]
■ OpenTelemetry Go Documentation: [ Ссылка ]
== All Go/Golang Playlists
■ Building Microservices in Go/Golang: [ Ссылка ]
■ Go/Golang Tools and Packages: [ Ссылка ]
■ Learning Concurrency Patterns in Go/Golang: [ Ссылка ]
■ Learning Go/Golang : [ Ссылка ]
■ Learning Relational Databases in Go/Golang: [ Ссылка ]
■ Testing in Go/Golang: [ Ссылка ]
== Socials
■ [ Ссылка ]
■ [ Ссылка ]
■ [ Ссылка ]
00:00 - Start
00:11 - What is Observability?
01:11 - How does Observability work?
03:33 - Example of Observability using Go/Golang
08:07 - Conclusions about Observability
=== Who am I?
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