Setting up Alerts on Metrics with SigNoz
Here's a quick video on how to set alerts and receive notifications on Slack channels.. Do let me know if you have any feedback in the comments below
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Prometheus Metrics setup with SigNoz
You can now visualise your prometheus metrics with SigNoz. Here's a quick guide on how to do it.
Crossed 5000+ GitHub stars, metrics generation from spans - SigNal 06
Welcome back to SigNal #6. Every month, SigNal from SigNoz gives you an update on what we've been building, shipping, and iterating. In the midst of sprint plannings, feature releases, and bug fixes, time just flew by, and here we are, with another monthly product update! Also, we crossed 5000+ GitHub stars this month.
Metrics Dashboard, Scale testing upto 500K events/sec - Signal 05
A month and thousands of code lines later, we're here with our monthly product update - Signal #05. We squashed bugs, shipped custom metric dashboard along with improvisations in our frontend. We also got featured by one of the top online analytics magazines as one of the leading Data Observability platforms. 🥳 Let's dive in to see what humans at SigNoz have been up to!
NodeJs Instrumentation Monitor Custom Metrics from your application using OpenTelemetry & SigNoz
In this video, I take you through a simple app which shows how to monitor custom metrics in your NodeJS application with OpenTelemetry & SigNoz.
Latest top 21 APM tools [open-source included]
Application Performance Monitoring (APM) tools are a critical component of distributed applications now. But choosing the right APM tool can be tricky. In this article, we go through a list of the top 21 APM tools including open-source APM tools which can help monitor and improve your application performance.
SigNoz community call - September 2021
SigNoz is an open source alternative to DataDog, New Relic. In this community call, we discuss how to send and visualise metrics in SigNoz and create custom dashboards for the same. We hold a community call in the last/second last Saturday of every month.
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. Before we deep dive into how Jaeger accomplishes distributed tracing for microservices-based architecture, let's take a short detour to understand distributed tracing.
AWS X-Ray vs Jaeger - key features, differences and alternatives
Both AWS X-Ray and Jaeger are distributed tracing tools used for performance monitoring in a microservices architecture. Jaeger was originally built by teams at Uber and then open-sourced in 2015. On the other hand, AWS X-Ray is a distributed tracing tool provided by AWS specifically focused on distributed tracing for applications using Amazon Cloud Services. Jaeger is a popular open-source tool that graduated as a project from Cloud Native Computing Foundation.
Jaeger vs Elastic APM - key differences, features and alternatives
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. Application performance monitoring is the process of keeping your app's health in check. APM tools enable you to be proactive about meeting the demands of your customers.