Useful Yet Lesser-Known Linux CLI Commands for DevOps Engineers

In the world of DevOps, Linux is the backbone for most server-based environments. While many are familiar with popular commands like grep, awk, sed, and curl, there are a plethora of lesser-known but highly effective CLI tools that can make life easier. In this article, we’ll explore some of these hidden gems, providing a brief overview of each and examples of how they can be used in daily DevOps workflows.

Running RabbitMQ in Docker and Tuning for Performance Using Docker Compose

Running RabbitMQ in Docker and Tuning for Performance Using Docker Compose RabbitMQ is a powerful message broker that facilitates communication between different services in a distributed system. Running RabbitMQ in a Docker container simplifies deployment, and using Docker Compose allows you to manage configurations, networking, and scaling more efficiently. This article will walk you through setting up RabbitMQ using Docker Compose and offer tuning recommendations to optimize its performance. Why Use Docker Compose for RabbitMQ?

Using RabbitMQ for Messaging with a Homemade ESP32 Sensor

Using RabbitMQ for Messaging with a Homemade ESP32 Sensor In IoT projects, effective communication between devices is crucial for success. Whether you’re building a smart home setup or deploying sensors for environmental monitoring, a robust message broker like RabbitMQ can help manage data transmission efficiently. In this guide, we’ll show you how to set up a homemade ESP32 sensor to send data to a RabbitMQ server, facilitating reliable and scalable messaging.

Analyzing Physical Server Usage with Grafana and Prometheus

Analyzing Physical Server Usage with Grafana and Prometheus In modern DevOps environments, understanding server performance is crucial for maintaining reliability and optimizing resource usage. When it comes to monitoring physical servers, two powerful open-source tools—Prometheus and Grafana—form an excellent combination. Prometheus acts as the data collection and alerting engine, while Grafana is used to visualize the data, making it easier for teams to analyze and respond to changes in server performance.

Challenges of Observability in DevOps: An Expert Perspective

Challenges of Observability in DevOps: An Expert Perspective

Monitoring Docker Containers with Grafana and Prometheus

Monitoring Docker Containers with Grafana and Prometheus In containerized environments, monitoring becomes essential for ensuring that Docker containers run efficiently, scale appropriately, and respond quickly to any issues. Using Grafana and Prometheus, you can gain detailed insights into your container metrics, such as CPU usage, memory consumption, network traffic, and more. This article will guide you through setting up Prometheus and Grafana to monitor Docker containers, providing a comprehensive view of your container ecosystem.