Debugging errors in distributed systems can be a challenging task, as it involves tracing the flow of operations across numerous microservices. This complexity often leads to difficulties in pinpointing the root cause of performance issues or errors.
We often get asked, what's the best place to get started with OpenTelemetry - host metrics, traces, or even logs?
Hosts Nočnica Mellifera and Pranay will talk about taking your first steps to gathering OpenTelemetry data
Below is the recording and an edited transcript of the conversation.
OpenTelemetry can auto-instrument many common modules for a Javascript application. The telemetry data captured can then be sent to SigNoz for analysis and visualization.
OpenTelemetry is a Cloud Native Computing Foundation(CNCF) project aimed at standardizing the way we instrument applications for generating telemetry data(logs, metrics, and traces). However, OpenTelemetry does not provide storage and visualization for the collected telemetry data. An APM that can ingest telemetry data collected by OpenTelemetry can help you set up a robust observability stack.
Monitoring Redis for performance issues is critical. Redis is famous for its low-latency response while serving a large number of queries. There are certain key metrics that you can monitor to keep track of your Redis instance performance. In this guide, we will go through key Redis metrics that should be monitored and ways to collect these metrics with in-built Redis tools.
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.
"Take risks in your life. If you win, you may lead; if you lose, you may guide.”
Swami Vivekananda
Welcome to the 28th edition of our monthly product newsletter - SigNal 28! Our team shipped many features and improvements last month. We also had an amazing team workation in Goa, India.
When we have large-scale, distributed systems, Logging becomes essential for observability, monitoring, and security. No matter what architecture (Monolith/Microservices) our systems have, they are complex due to the number of moving parts they have and the challenges they face around management, deployment, and scaling.
Jaeger is an open-source end-to-end distributed tracing tool for microservices architecture. On the other hand, Elastic APM is an application performance monitoring system that is built on top of the ELK Stack (Elasticsearch, Logstash, Kibana, Beats). In this article, let's explore their key features, differences, and alternatives.
Morgan is a popular HTTP logging library for Node.js. It is designed to be a simple and flexible tool for logging HTTP requests and responses in Node.js applications.