“O11y”, also known as Observability, is changing how we handle system performance. This guide will walk you through the essentials of O11y and how to implement it effectively. Let's dive in.

Splunk is a powerful unified security and observability tool that analyzes data and logs. Splunk allows you to monitor and visualize data in real-time. It analyzes machine-generated data and logs through a web interface. It was acquired by Cisco in a $28 billion deal. While Splunk is a powerful platform, it might not suit your needs. In this post, we discuss 11 top Splunk alternatives that you can consider. Splunk provides a wide range of tools for analyzing and visualizing your data fast and at scale.

Are you looking for a DataDog alternative? Then you have come to the right place. In this article, we will go through top 9 DataDog competitors and alternatives. One of the biggest challenge users face with DataDog is its pricing policies. Its complex SKU-based pricing policy leads to unpredictable bills. DataDog is a cloud monitoring software that provides an array of tools for monitoring different aspects of your application and infrastructure.

We’re thrilled to announce that SigNoz is now SOC 2 Type I compliant. We are committed to protecting your data and privacy, and we follow the industry’s best practices to ensure that your data is safe and secure.

New Relic vs DataDog: Both tools are popular for application and infrastructure monitoring, offering a wide range of features. This post compares New Relic and DataDog on key aspects like APM, log management, infrastructure monitoring, and OpenTelemetry support. Info I instrumented a sample Spring Boot Application and sent data to Datadog and New Relic to evaluate my experience. Some takeaways are subjective and based on personal preference.

Modern digital organizations have rapidly adopted microservices-based architecture for their applications. Microservices-based apps have components designed around business capabilities serving a specific purpose. It enables smaller engineering teams to own specific services that lead to increased productivity. But componentization also leads to complexity. Today’s modern internet-scale businesses have hundreds or thousands of microservices.

Working in the observability and monitoring space for the last few years, we have had multiple users complain about the lack of detailed monitoring for messaging queues and Kafka in particular. Especially with the coming of instrumentation standards like OpenTelemetry, we thought there must a better way to solve this. We dived deeper into the problem and were trying to understand what better can be done here to make understanding and remediating issues in messaging systems much easier.

Welcome to SigNal 37, the 37th edition of our monthly product newsletter! We crossed 17,000+ Github stars for our open source project. We’ve enhanced our Dashboards UX and incorporated feedback from users in different areas of our product. Let’s see what humans of SigNoz were up to in the month of May 2024.

Spans are fundamental building blocks of distributed tracing. A single trace in distributed tracing consists of a series of tagged time intervals known as spans. Spans represent a logical unit of work in completing a user request or transaction. Distributed tracing is critical to application performance monitoring in microservice-based architecture. Before we deep dive into spans, let's have a brief overview of distributed tracing.

Both DataDog and Jaeger are tools used to monitor application performance. The difference lies in what they monitor and terms of usage. Jaeger is an open-source tool focused on distributed tracing of requests in a microservice architecture. While DataDog is a SaaS APM vendor covering most monitoring needs of an application. 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.