Morgan is a popular HTTP logging library for Node.js. It is designed to be a simple and flexible tool for logging HTTP requests and responses in Node.js applications.
JSON (JavaScript Object Notation) is a lightweight data-interchange format that has gained widespread popularity in recent years due to its simplicity and flexibility. It is easy for humans to read and write and for machines to parse and generate, making it a great choice for transmitting data in web applications.
Centralizing logs (arranging all records in one place) is often challenging as we need to decide whether to use a log shipper or directly log from the application.
If you are not familiar with a log shipper, logging directly from the library might be a suitable option for development (it is easy to configure). However, in production, you'll likely want to use one of the available log shippers, mainly due to buffers, since blocking the application or dropping data (immediately) may not be an option.
Log analysis is a very powerful feature for an application when it comes to debugging and finding out which flow is working properly in the application and which is not. Log management helps the DevOps team debug and troubleshoot issues faster, making it easier to identify patterns, spot bugs, and ensure they don’t come back to bite you!
Information about the containers and pods on your cluster may be obtained using the kubectl logs command. These logs allow you to know the performance of your applications, whether they are failing or healthy, and are particularly useful for debugging and troubleshooting purposes.
It is essential to configure log rotation for Docker containers. Log rotation is not performed by default, and if it’s not configured, logs on the Docker host can build up and eat up disk space. This guide will teach us how to set up Docker log rotation.
MEVN stack is a popular Javascript software stack that has become very popular in recent times to build powerful web applications. MEVN stack involves four technologies to build an end-to-end web application, namely, MongoDB, Expressjs, Vuejs, and Nodejs.
Modern digital businesses have adopted cloud technology and distributed architectures to enable on-demand scaling of resources. Containerization technologies like Kubernetes and Docker have made it possible to handle customer demands at scale. However, orchestrating a complex microservices architecture with Kubernetes is challenging. Monitoring your Kubernetes cluster can give you insights to better manage your cluster.
Kubernetes monitoring is a critical process for keeping your Kubernetes clusters running in fine health. In this tutorial, we will learn everything about Kubernetes monitoring. We will be using two open-source tools: OpenTelemetry and SigNoz, to monitor a Kubernetes cluster, so you can follow along with the tutorial easily.
Celery worker is a simple, flexible, and reliable distributed system to process vast amounts of messages while providing operations with the tools required to maintain such a system. In this tutorial, we will learn how to implement Celery with Flask and Redis.