Operations | Monitoring | ITSM | DevOps | Cloud

January 2024

SigNoz - Open-Source Alternative to DataDog

More and more companies are now shifting to a cloud-native & microservices-based architecture. Having an application monitoring tool is critical in this world because you can’t just log into a machine and figure out what’s going wrong. We have spent years learning about application monitoring & observability. What are the key features an observability tool should have to enable fast resolution of issues. In our opinion, good observability tools should have.

OpenTelemetry vs Prometheus Detailed Comparison

Both OpenTelemetry and Prometheus are open-source projects under the Cloud Native Computing Foundation. OpenTelemetry is a more comprehensive observability framework with support for metrics, traces, and logs. In contrast, Prometheus is focused specifically on time-series metrics. OpenTelemetry is more versatile, and if you’re confused between choosing between the two, go for OpenTelemetry. We will delve deeper into the reason for choosing OpenTelemetry over Prometheus in this article.

DataDog vs Grafana - Key Features & Differences

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.

RabbitMQ monitoring with OpenTelemetry

More about SigNoz: SigNoz - Monitor your applications and troubleshoot problems in your deployed applications, an open-source alternative to DataDog, New Relic, etc. Backed by Y Combinator. SigNoz helps developers monitor applications and troubleshoot problems in their deployed applications. SigNoz uses distributed tracing to gain visibility into your software stack. If you need any clarification or find something missing, feel free to raise a GitHub issue with the label documentation or reach out to us at the community slack channel.

Understanding Flame Graphs for Visualizing Distributed Tracing

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 - architecture and configuration guide

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.

Loki vs Elasticsearch - Which tool to choose for Log Analytics?

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.

Decoding PostgreSQL Monitoring | 101 Guide

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.

How to Monitor PostgreSQL metrics with OpenTelemetry

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.

Docker Log Rotation Configuration Guide | SigNoz

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.

What are Cloudwatch Metrics? How to implement Custom Metrics in Cloudwatch?

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).

What is Cloudwatch Metrics? Detailed 101 Guide

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).

Monitoring Docker Containers Using OpenTelemetry [Full Tutorial]

Monitoring Docker container metrics is essential for understanding the performance and health of your containers. OpenTelemetry collector can collect Docker container metrics and send it to a backend of your choice. In this tutorial, you will install an OpenTelemetry Collector to collect Docker container metrics and send it to SigNoz, an OpenTelemetry-native APM for monitoring and visualization.

Monitoring CouchDB with OpenTelemetry and SigNoz

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.

101 Guide to RabbitMQ Metrics Monitoring

This guide covers key metrics important for efficiently monitoring RabbitMQ. We will also talk about in-built RabbitMQ monitoring tools with which you can start monitoring your RabbitMQ instances. In fast-paced, data-driven applications where our data flows between the systems at lightning speed - the reliability and efficiency of your messaging infrastructure can make or break your whole application.

Log Monitoring 101 Detailed Guide [Included 10 Tips]

Log monitoring is the practice of tracking and analyzing logs generated by software applications, systems, and infrastructure components. These logs are records of events, actions, and errors that occur within a system. Log monitoring helps ensure the health, performance, and security of applications and infrastructure. Log Monitoring helps in early detection of potential issues, ensuring systems run smoothly and efficiently. In this detailed 101 guide on Log monitoring, we will learn.

OpenTelemetry in 2023 - What we learnt from the community and our users

OpenTelemetry has brought a sea change in the world of observability. The idea of the project was to standardize the instrumentation needed for generating telemetry. Teams shouldn’t need to change how they collect data if they want to try a new visualization/backend for the telemetry data. That was the vision. This idea seems to have resonated with the developer and devops communities.

LLM Observability with OpenTelemetry and SigNoz

In the rapidly evolving world of Large Language Models (LLMs), ensuring peak performance and reliability is more critical than ever. This is where the concept of 'LLM Observability' comes into play. It's not just about monitoring outputs; it's about gaining deep insights into the internal workings of these complex systems.

Top 11 Grafana Alternatives & Competitors [2024]

Are you looking for Grafana alternatives? Then you have come to the right place. Grafana started as a data visualization tool. It slowly evolved into a tool that can take data from multiple data sources for visualization. For observability, Grafana offers the LGTM stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). You need to configure and maintain multiple configurations for a full-stack observability setup.

Improved Dashboard Performance, Better Trace View UX & New Logs Processors - SigNal 32

Welcome to the last SigNal of 2023! 12 months of building and shipping things to make open-source observability available to teams of all sizes. What a great journey it has been for Team SigNoz in the year 2023. We crossed some great milestones - raised $6.5MN to supercharge our growth, more than 15,000 Github stars, and 8.6 million Docker downloads. And the best part of our journey has been building with our community.

How to export Azure Monitor Metrics using OpenTelemetry to SigNoz

Using OpenTelemetry Collector, you can collect metrics from Azure monitor and export them to any backend of your choice. Azure Monitor is a powerful service within the Microsoft Azure ecosystem that provides extensive metrics and logging capabilities. Yet the siloed nature of data in such tools can obscure the bigger picture, hindering a holistic view of system health. In this tutorial, we cover: If you want to jump straight into implementation, start with this Prerequisites section.