Modern digital organizations have rapidly adopted microservices-based architecture for their applications. Microservices-based apps have components designed around business capabilities serving a specific purpose. It enables smaller engineering teams to own specific services that lead to increased productivity.
There are standalone distributed tracing tools like Jaeger, and there are APM tools that do not provide distributed tracing capabilities. In this article, we will see how distributed tracing complements an APM tool for a holistic performance monitoring experience.
Microservices architecture allows technology companies to build application services around business capabilities. It enables rapid development and also boosts developer productivity. But it also introduces complexity. Troubleshooting and operating an internet-scale application based on microservices is hard. And that’s where distributed tracing comes into the picture.
One who moves the hill sets off by taking away the rocks.
This is our 10th monthly update, and looking back at it, I can’t help feeling proud of our consistent efforts. Numerous releases, GitHub issues, sprints, and standups have brought us here. And it’s incredible to see what small teams with purpose can build with a consistent effort.
Hola!
Welcome to SigNal 09, where I will run you through the updates of the first month of 2022! The focus of the month was our upcoming brand new Traces page. It will enhance the application debugging experience manifolds with powerful filters to see your data across different dimensions.
Falcon is a minimalist Python web API framework for building robust applications and microservices. It also compliments many other Python frameworks by providing extra reliability, flexibility, and performance. Falcon based applications can be monitored using OpenTelemetry - an open-source standard to generate telemetry data.
Distributed tracing has become critical for application performance monitoring in microservice-based architecture. Jaeger is a popular open-source tool used for distributed tracing. With distributed tracing, engineering teams get a central overview of how user requests perform across multiple services.
Welcome to SigNal 08, and the last SigNal issue of 2021! 🥳
This month, we made numerous PRs improving our product experience, added new awesome contributors, and launched a new initiative to discover better UX for our users. We also crossed 500+ members on our Slack community! 🥳
Kubernetes is the de facto leader of container orchestration tools. With the growing popularity of micro-service-based development, Kubernetes emerged as the go-to tool to deploy and manage large-scale enterprise applications. However, with the plethora of features offered by Kubernetes, it is a complex tool to manage and operate. This article will focus on how to configure Kubernetes Audit Logs so that you can have the records of events happening in your cluster.
Welcome to SigNal 07!
We sipped coffee, shipped code, fixed bugs, and made commits! The highlight of November was the alerts feature release 🔔. We also expanded our team and got our first community-led tutorial on how to monitor Ruby on Rails app with SigNoz.