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#cplusplus #cpp #cpp11 #header_only #logging #spdlog

spdlog is a fast and feature-rich C++ logging library. It supports various platforms like Linux, Windows, macOS, and Android. You can install it using package managers or by cloning the repository and building it yourself. The library offers several benefits It is very fast, as shown in benchmarks.
- **Flexibility** It supports rich formatting using the fmt library.
- **Asynchronous Logging** Allows custom formatting, log targets (like rotating files, daily logs, console logging), and user-defined callbacks.
- **Multi-Threading** Log levels can be adjusted at runtime or compile time.
- **Backtrace Support**: Stores debug messages in a ring buffer for later display.

Overall, spdlog provides a powerful and customizable logging solution that can be easily integrated into your C++ projects.

https://github.com/gabime/spdlog
#go #framework #go #go_framework #golang #golang_framework #grpc #grpc_go #grpc_golang #hacktoberfest #http_server #logging #metrics #microservice #microservice_framework #opentelemetry #performance #rest_api #server #tracing #web_framework

GoFr is a microservice development framework designed to simplify the creation and management of microservices. It offers features like easy API syntax, built-in observability, and support for REST and gRPC, making it efficient for developers. With GoFr, you can focus on building your application without getting bogged down by complex configurations. The framework also supports Kubernetes deployment, ensuring your services are scalable and maintainable. By using GoFr, you can accelerate your development process, improve application performance, and enhance overall productivity, allowing you to deliver high-quality software faster.

https://github.com/gofr-dev/gofr
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#python #elasticsearch #ids #logging #monitoring #security #siem #signatures #splunk #sysmon

Sigma is a way to share rules for detecting bad behavior in computer logs. It's like a common language that works with many different systems, making it easy to share and use detection methods across different platforms. This helps security teams work together and improve their ability to find threats. Sigma rules are flexible, easy to write, and can be used with systems like Splunk, Elasticsearch, and Microsoft Defender. The main benefit is that you can write a rule once and use it on many systems, saving time and effort.

https://github.com/SigmaHQ/sigma
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#go #cloudnative #grafana #hacktoberfest #logging #loki #prometheus

Loki is a log aggregation system inspired by Prometheus but designed specifically for logs instead of metrics. It is cost-effective and easy to operate because it only indexes metadata (labels) about logs, not the full log content, which reduces storage and complexity. Loki works well with Kubernetes by automatically indexing pod labels and integrates natively with Grafana for easy log visualization. Its stack includes an agent (Alloy) to collect logs, Loki to store and query them, and Grafana to display them. This setup helps you efficiently manage and analyze logs with less cost and simpler operation compared to traditional logging systems[2].

https://github.com/grafana/loki
#go #logging #metrics #opentelemetry #tracing

OpenTelemetry-Go is a tool for Go applications that helps you track how your software performs by collecting data like traces and metrics, then sending this information to monitoring platforms so you can see what’s happening inside your app in real time[2][3][4]. It works on many operating systems and Go versions, and you can use it by adding a few lines of code to your app and setting up an exporter. This makes it much easier to find and fix problems, understand how your app is running, and keep everything reliable and fast[2][3][4].

https://github.com/open-telemetry/opentelemetry-go