Operations | Monitoring | ITSM | DevOps | Cloud

Apica’s Ascent has achieved remarkable results in the 2023 Application Performance Management Data Quadrant Report published by SoftwareReviews, a notable source for insights on the software provider landscape. The report gathers extensive customer experience data from business and IT professionals, offering detailed and authentic insights into the experience of evaluating and purchasing enterprise software.

Spring Boot Monitoring aims to provide real-time insights into various aspects of a Spring Boot application. Spring Boot provides useful libraries like the Spring Boot Actuator and Micrometer to aid in monitoring. But in order to set up effective monitoring, you need to use a tool where you can send the monitoring data for storage and visualization. In this tutorial, we cover: In this tutorial, you will learn how to monitor a Spring Boot application with SigNoz and OpenTelemetry.

Welcome to the 31st edition of our monthly product newsletter - SigNal 31! We shipped a lot of improvements in our dashboard user experience and crossed 7 million Docker downloads. Let’s see what the humans of SigNoz did in the month of November 2023.

Nginx metrics and logs monitoring are important to ensure that Nginx is performing as expected and to identify and resolve problems quickly. In this tutorial, you will install OpenTelemetry Collector to collect Nginx metrics and logs 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 pre-requisites section.

The advent of Machine Learning (ML) has unlocked new possibilities in various domains, including full lifecycle Application Performance Monitoring (APM). Maintaining peak performance and seamless user experiences poses significant challenges with the diversity of modern applications. So where and how does ML and APM fit together? Traditional monitoring methods are often reactive, resolving concerns after the process already affected the application’s performance.

For high throughput systems that focus on gathering continuous data or have a heavy read-only traffic, NoSQL databases came as a blessing. NoSQL databases, due to their unstructured nature of data, allow relatively faster inserts as well as reads compared to relational databases. One such database that’s quite popular today is MongoDB. In this article, our focus would be to understand how to extract metrics out of MongoDB and ship them to Signoz using the Open Telemetry collector.

Let's dive deep into the realm of Memcached, where we'll uncover the power of monitoring with OpenTelemetry and SigNoz. This isn't just about caching data; it's about watching over Memcached like a vigilant guardian, ensuring it performs at its best, and optimizing your application's speed. In this tutorial, you will install OpenTelemetry Collector to collect Memcached metrics that should be monitored for performance and then send the collected data to SigNoz for visualization and alerts.

AVD (Azure Virtual Desktop) has grown in popularity and for many reasons many organizations are choosing to consume AVD via a specialist Managed Service Provider (MSP). For the MSPs offering AVD, monitoring and troubleshooting AVD especially for multi-tenant environments is challenging and involves significant, costly and skilled effort using native tools such as Azure Insights or Azure Monitor.

At Raygun, we’re processing billions of events per month for our customers, so it’s well worthwhile looking for the most efficient data storage solutions. Way back when we started out, we chose lz4net to store data, which served our purposes well for many years. As we grew, though, we realized this was getting expensive, and was starting to undermine our business model. This post is focused on how we made the switch to the K4os.Compression.LZ4 rewrite, attaining significant performance gains.