DataDog is a paid SaaS tool that provides a range of products for monitoring applications and tech infrastructure. While Grafana is an open-source web visualization tool that can be used with a variety of data sources to create dashboards. If you're looking for a one-stop observability solution and price is not a concern for you, choose Datadog. In case you're looking to visualize data from a lot of different data sources especially time-series data, then choose Grafana.

In the ever-evolving world of software development, one constant remains - the pursuit of better performance. As applications grow in complexity and demand, the need for tools to uncover performance bottlenecks becomes paramount. Flamegraphs, a brainchild of Brendan Gregg, has emerged as an important visualization of insight, showing those dark corners of your codebase that need optimization.

OpenTelemetry Collector is a stand-alone service provided by OpenTelemetry. It can be used as a telemetry-processing system with a lot of flexible configurations to collect and manage telemetry data. Let's do a deep dive on OpenTelemetry Collectors to understand how it works. The first step in setting up observability with OpenTelemetry is instrumentation. The application code is instrumented with OpenTelemetry client libraries that help generate telemetry data like logs, metrics, and traces.

Elasticsearch, or the ELK stack, is a popular log analytics solution. The Loki project was started at Grafana Labs in 2018. Grafana leads the development of Loki, while Elastic is the company behind Elasticsearch. In this article, we will do a detailed comparison between these two tools for log analytics. Log data helps application owners debug their applications while also playing a critical role in cyber security.

Monitoring PostgreSQL for performance issues is critical. PostgreSQL is a powerful open-source relational database system that stands out for its robustness, scalability, and strong emphasis on extensibility and standards compliance. In this guide on PostgreSQL monitoring, we will cover key PostgreSQL metrics that should be monitored, best practices for monitoring PostgreSQL and some tools with which you can set up PostgreSQL monitoring.

PostgreSQL metrics monitoring is important to ensure that PostgreSQL is performing as expected and to identify and resolve problems quickly. In this tutorial, you will install OpenTelemetry Collector to collect PostgreSQL metrics and then send the collected data to SigNoz for monitoring and visualization. In this tutorial, we cover: If you want to jump straight into implementation, start with this prerequisites section.

It is essential to configure log rotation for Docker containers. Log rotation is not performed by default, and if it’s not configured, logs on the Docker host can build up and eat up disk space. This guide will teach us how to set up Docker log rotation. Logs are an essential piece of telemetry data. Logs can be used to debug performance issues in applications.

CloudWatch metrics play a critical role in monitoring AWS resources and facilitating effective troubleshooting during system failures. It allows for continuous monitoring of AWS resources like EC2 instances, Lambda functions, and RDS databases. Using Cloudwatch metrics, DevOps teams can monitor and manage their AWS infrastructure easily. Amazon CloudWatch is a comprehensive monitoring and observability service provided by Amazon Web Services (AWS).

OpenTelemetry can help you monitor CouchDB performance metrics with the help of OpenTelemetry Collector. In this tutorial, you will install OpenTelemetry Collector to collect CouchDB metrics and then send the collected data to SigNoz for monitoring and visualization. Before that, let’s have a brief overview of CouchDB. If you want to jump straight into implementation, start with this Prerequisites section.

CloudWatch metrics play a critical role in monitoring AWS resources and facilitating effective troubleshooting during system failures. It allows for continuous monitoring of AWS resources like EC2 instances, Lambda functions, and RDS databases. Using Cloudwatch metrics, DevOps teams can monitor and manage their AWS infrastructure easily. Amazon CloudWatch is a comprehensive monitoring and observability service provided by Amazon Web Services (AWS).