Welcome to our first monthly product newsletter of 2023, SigNal - 21! Last month, we worked closely with our users to ship some advanced features which will enable our users to take advantage of their observability data more effectively. We were also trending on the front page of hacker news and got featured as one of the fastest-growing open source startups. Let’s dive in to see what humans at SigNoz were up to in the month of January 2023.

In this article, learn how to setup application monitoring for Golang apps using an open-source solution, SigNoz. If you want to check our Github repo before diving in 👇 Scalability, Reliability, Maintainability... The list goes on for the benefits of microservices architecture in today's world. But along with these benefits also comes the challenges of complexity.

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.

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.

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.

NGINX is a prominent web server, reverse proxy server, and mail proxy utilized by many websites and applications to serve content to their users. One important aspect of managing a web server is logging, which refers to the process of recording information about the server's activity and performance. In NGINX, logging is done using the error_log and access_log directives. error_log directive specifies the file where NGINX should log errors.

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 was originally developed as a part of the BSD operating system, but many other operating systems and network devices have since adopted it.

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. A logs UI typically allows a user to view and search through log data and may also provide features such as filtering and highlighting to help the user find specific log entries of interest.

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. Logs help you debug and troubleshoot your applications. They are also useful for other purposes like auditing and compliance, performance monitoring, and security.