In the previous article, we learned what distributed tracing is, why it is necessary, how to do tracing, encountered challenges with existing tracing tools, and finally discovered that there is a more mature option available for the industry to adopt in terms of telemetry and observability. In this article, we will be trying to understand OpenTelemetry in more depth. To begin, we will examine how OpenTelemetry addresses some of the issues confronting the observability ecosystem.

Have you heard about traces? Most likely, yes! Do you confuse it with auditing? Hope not. Today, we're going to talk about tracing, specifically “Distributed Tracing,” and do a deep dive into it. Once we’re familiar with distributed tracing, we will show you how to implement it with OpenTelemetry - a new-age observability framework.

Effective log management is a fundamental aspect of maintaining and troubleshooting today's complex systems and applications. The sheer volume of data generated by various software and hardware components can make it challenging to identify and resolve issues in a timely manner. Open-source log management tools offer a cost-efficient and customizable approach for collecting, analyzing, and visualizing log data.

Tools like Fluentbit and Fluentd make log management more efficient by centralizing log data from multiple sources and providing the ability to monitor and analyze it all in one place. Log management is the practice of collecting, storing, analyzing, and monitoring log data from various systems and applications. This log data can provide valuable insights for organizations such as identifying system issues, troubleshooting problems, detecting security threats, and meeting compliance requirements.

Modern-day software systems emit millions of log lines per minute. Cloud computing and containerization have made it easy to have distributed systems. Distributed systems emit logs from multiple sources. While developers have always used logs to debug stand-alone applications, centralized logging solves the challenges of modern-day distributed software systems.

Welcome to the last monthly product newsletter from the year 2022. The month of December ended on a high note for the team at SigNoz. An amazing team workation in Goa was all we could ask for to end the year in which we shipped consistently and made SigNoz better with constant user inputs. Our latest release comes equipped with better scaling capabilities and improved user experience. Let’s dive in to see what humans at SigNoz were up to in the month of December 2022.

Logs are useful for troubleshooting and identifying issues in applications, as they provide a record of events and activities. However, managing log data can be challenging due to the large volume of log events generated by modern applications, as well as the need to balance the level of detail in the logs and the impact on the application's performance.

Syslog is an important messaging protocol in computing systems where it is used to send system logs or event messages to a specific server. In Python, you can either use the syslog module or the logging module to collect and send syslogs to a central server. Logging is important to audit and debug your software. You can set logging to your running application to help monitor its behavior locally or system-wide. In this tutorial, we will learn how to configure logging to syslog in Python.