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The latest News and Information on Application Performance Monitoring and related technologies.

Memcached Metrics Monitoring with OpenTelemetry

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.

Transitioning from lz4net to K4os.Compression.LZ4

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.

How to Monitor Apache Server Metrics with OpenTelemetry

Monitoring Apache web server metrics ensures your web server performs efficiently, securely, and reliably. In this tutorial, you will configure OpenTelemetry Collector to collect Apache metrics and send them to SigNoz for monitoring and visualization. We cover: If you want to jump straight into implementation, start with this prerequisites section.

How to Monitor MySQL Metrics with OpenTelemetry

Database monitoring is an important aspect to look at for a high-volume or high-traffic system. The database performance drastically impacts the response times for the application. In this tutorial, you will install OpenTelemetry Collector to collect MySQL 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 pre-requisites section.

How to Monitor Prometheus Metrics with OpenTelemetry Collector?

OpenTelemetry provides a component called OpenTelemetry Collector, which can be used to collect data from multiple sources. Prometheus is a popular metrics monitoring tool that has a wide adoption. If you’re using Prometheus SDKs to generate metrics, you can collect them via OpenTelemetry collector and send them to a backend of your choice.

Best practices for writing clean, maintainable JavaScript

The world’s biggest language comes with a huge collection of conventions and guidelines from the community’s collective wisdom. Following JavaScript best practices can help achieve faster page loads and better performance, improve code readability, and make maintenance and debugging easier. Carefully crafted code can also prevent errors and security issues, especially if it’s complemented with real-time diagnostic tools such as JavaScript error monitoring.

Chasing the Rainbow: Towards Unified Service Metrics

As Zendesk migrated from a monolithic application to an ecosystem of hundreds of services, its need for fully unified and standardized observability became a chief concern. In this talk, Senior Principal Engineer Daniel Schierbeck shares how adopting a service mesh has helped Zendesk teams manage its growing number of services while standardizing its observability. He also explains how Zendesk’s approach to monitoring service interactions has evolved as it adopted Datadog metrics and Datadog APM.

OpenTelemetry Java Tutorial | Auto-Instrument Java App with OpenTelemetry

OpenTelemetry stands at the forefront of modern observability practices, revolutionizing how developers gain insights into their applications' performance and behavior. As a powerful distributed tracing framework, it empowers engineers to effortlessly instrument their applications, providing comprehensive visibility into the intricacies of microservices architectures. This tutorial discusses how OpenTelemetry can be used to get insights from a Java application.