Logging as a service (LAAS) is a type of cloud computing service that allows organizations to store and manage their log data in a central location. This type of service typically includes features such as centralized storage, real-time analytics, and search capabilities, as well as tools for visualizing and analyzing log data.
A logs UI is a user interface for displaying log data. Logs are records of events that happen on a computer system, such as messages indicating that a particular operation has been performed or an error has occurred.
Syslog is a standard for message logging that allows devices such as routers, switches, and servers to send event messages to a central log server. The messages sent by these devices are known as syslog messages and include information such as the date, time, device hostname, and message content.
Syslog monitoring is a process of collecting, storing, and analyzing system log messages generated by devices on a network. These log messages contain information about the operation and status of devices, as well as any errors or issues that may have occurred.
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.
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.