When it comes to monitoring Golang applications, there are various tools and practices you can use to gain insights into your application's performance, resource usage, and potential issues. By using OpenTelemetry for monitoring in your Go applications, you can gain valuable insights into the behavior, performance, and resource utilization of your distributed systems, allowing you to troubleshoot issues, optimize performance, and improve the overall reliability of your software.

The OpenTelemetry Go project now supports automatic instrumentation via eBPF! This is a big milestone for the project and makes it significantly easier to generate data from your Go apps: The automatic instrumentation agent is still in s/alpha/beta today, but it’s ready for you to try on your applications!

gRPC (Google Remote Procedure Call) is a high-performance, open-source universal RPC framework that Google developed to achieve high-speed communication between microservices. gRPC has Protobuf (protocol buffers) by default which would format or serialize the messages to a specific format that will be highly packed, highly efficient data. By its virtue of being a lightweight RPC, gRPC is suited for many use-cases. gRPC can be considered a successor to RPC, which is light in weight.

In this article, we will implement distributed tracing for a Golang application with three microservices. To implement distributed tracing, we will be using open-source solutions - SigNoz and OpenTelemetry, so you can easily follow the tutorial.

OpenTelemetry can be used to trace Gin applications for performance issues and bugs. OpenTelemetry is an open-source project under the Cloud Native Computing Foundation (CNCF) that aims to standardize the generation and collection of telemetry data like logs, metrics, and traces. Gin is an HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin!

OpenTelemetry can be used to trace Go applications that use Kafka to find performance issues and bugs. OpenTelemetry is an open-source project under the Cloud Native Computing Foundation (CNCF) that aims to standardize the generation and collection of telemetry data. Telemetry data includes logs, metrics, and traces. Apache Kafka introduced the ability to add headers to Kafka messages from version 0.11 onwards.

Golang microservices add efficiency, agility, modularity, and scalability to microservices, increasing performance and improving the user experience. Read on to learn more.

Memory leaks can be a significant issue in any programming language, and Go is no exception. Despite being a garbage-collected language, Go is still susceptible to memory leaks, which can lead to performance degradation and cause your operating system to run out of memory. To defend itself, the Linux operating system implements an Out-of-Memory (OOM) killer that identifies and terminates processes that consume too much memory and cause the system to become unresponsive.