One of the easiest ways to see if the application running in our nodes is in an optimized state or not is by monitoring them. It is the last yet critical stage of any software development lifecycle. It opens up many possible improvements in your application, networking, IT automation, and other miscellaneous configurations. As we move towards microservice architecture, containerization and orchestration tools are rising.
Configure your Docker Syslog Logging Driver
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.
Centralized Logging with Open Source Tools - OpenTelemetry and SigNoz
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.
Jaeger and OpenTracing - Key concepts, use-cases and alternatives
Jaeger and OpenTracing are both open-source projects. Jaeger was originally built by teams at Uber and then open-sourced. The OpenTracing project was also started by teams at Uber, and hence they are compatible with each other. While Jaeger is an end-to-end distributed tracing tool, OpenTracing is a set of APIs and libraries that can be used to instrument your application.
Tracing a Ruby application with OpenTelemetry for performance monitoring
Ruby on Rails is a popular MVC framework for creating web applications. It is necessary to monitor your Ruby applications for performance issues. In today’s cloud-native and microservices-based architecture, it is difficult for engineering teams to troubleshoot performance issues.
Robust Scaling with Distributed ClickHouse Support, Google Auth, and an amazing Team Workation - SigNal 20
“There is only one thing that makes a dream impossible to achieve: the fear of failure.”
- Paulo Coelho
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.
DataDog vs New Relic | Detailed comparison (5 key features)
Both DataDog and New Relic are enterprise monitoring tools that provide a wide range of products covering different aspects of application and infrastructure monitoring. In this article, we will compare DataDog and New Relic based on their different monitoring capabilities.
Monitoring GraphQL APIs with OpenTelemetry
GraphQL is a query language for APIs developed by Facebook in 2012. It was then open-sourced in 2015. GraphQL enables frontend developers or consumers of APIs to request the exact data that they need, with no over-fetching or under-fetching. In this article, we will learn how to monitor GraphQL APIs with OpenTelemetry and SigNoz.
Microservices Logging | A Practical Guide to Logging in Microservices
Microservices logging is the practice of tracking and recording the activities of specific services in a distributed microservices architecture. Logging is an important aspect of any software system, and it is more critical for a microservices architecture as there are many small, independent services interacting with each other.
Using Jaeger for your microservices
Jaeger is a popular open-source tool used for distributed tracing in a microservice architecture. In a microservice architecture, a user request or transaction can travel across hundreds of services before serving what a user wants. Distributed tracing helps to track the performance of a transaction across multiple services.