Operations | Monitoring | ITSM | DevOps | Cloud

Prometheus and the Elasticsearch stack are both used for monitoring applications. But while Prometheus is primarily meant to monitor metrics, the Elasticsearch stack or the ELK stack is mainly used to collect, store, analyze, and visualize application logs. In this article, we will see what Prometheus and ELK stack is and compare their differences. Prometheus is a time-series metrics monitoring tool. Prometheus enables you to capture time-series data as metrics.

PHP is a widely popular server-side language and enjoys the top spot in terms of market share. Many world-famous organizations like Facebook have their applications written in PHP. WordPress, which powers 43% of all websites, is also built on PHP. In this tutorial, we will use OpenTelemetry to instrument a PHP application for telemetry data. It’s essential to monitor your PHP application for performance issues and bugs.

Every month, our team works on two major fronts: shipping new features asked by users and iterating on shipped features to make them better for existing users. Last month, our team worked closely with users to ship a lot of product improvements both in UI and backend performance. Alongside that, we have been working on metrics builder and log management, two major feature upgrades to SigNoz.

MEVN stack is a popular Javascript software stack that has become very popular in recent times to build powerful web applications. MEVN stack involves four technologies to build an end-to-end web application, namely, MongoDB, Expressjs, Vuejs, and Nodejs.

C# (pronounced C-Sharp) is a simple, modern, object-oriented, and type-safe programming language. ASP.NET is one of the top frameworks for building modern applications using C#, F#, or Visual Basic. OpenTelemetry is one of the popular CNCF projects. Some other notable projects under CNCF include Kubernetes, Helm, and Fluentd. The OpenTelemetry project aims to create an open source web standard for instrumenting cloud-native applications.

Are you thinking of using Jaeger as a distributed tracing tool? What if there is a better alternative that does both distributed traces and metrics monitoring so that your engineering team does not have to use multiple tools.

Celery worker is a simple, flexible, and reliable distributed system to process vast amounts of messages while providing operations with the tools required to maintain such a system. In this tutorial, we will learn how to implement Celery with Flask and Redis. Before we deep dive into the tutorial, let’s have a brief overview of Celery workers.

GraphQL is a query language and server-side runtime for APIs developed by Facebook in 2012. In this guide, we will implement an Angular Apollo GraphQL client with the help of a sample To-Do app. Before we demonstrate how to implement the Angular GraphQL client, let’s have a brief overview of the Angular framework and GraphQL.

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. Tracing your application can give the much needed context required to troubleshoot performance issues.

OpenTelemetry can be used to instrument your Elixir applications to generate telemetry data. The telemetry data can then be visualized using an observability tool to monitor your Elixir application performance. In this tutorial, we will use OpenTelemetry Elixir libraries to instrument an Elixir application and then visualize it using SigNoz. Somewhere during the lifetime of an application, it's inevitable that it will have some performance issues.