Operations | Monitoring | ITSM | DevOps | Cloud

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

How eG Enterprise helps MSPs offering digital workspaces, add value-added services

In a fiercely competitive market, against a background of vendor licensing cost changes that are impacting profit margins, many MSPs offering digital workspaces are modernizing to remain relevant and futureproof. Many managed service providers have historically focused mostly on uptime/downtime, resource monitoring and so on. Automation tools are reducing the value of conventional managed services.

API update: Sessions, pages and Customers

Today, we’re excited to roll out 6 new endpoints for the Raygun API, making it simpler than ever to query Sessions, Pages, and Customers. Raygun’s Real User Monitoring helps you track and enhance your front-end and mobile page speed performance. It analyzes user sessions and page views to calculate your overall page speed. Previously, this required someone to log into Raygun, find the right application, and manually inspect sessions and page views in Real User Monitoring.

6 Tips to Integrate Container Orchestration and APM Tools

Application performance monitoring (APM) setup and strategies vary based on the application’s infrastructure design. Containers managed by orchestration tools like Docker Swarm or Kubernetes are dynamic and ephemeral, significantly affecting monitoring strategies. Container development speeds up an organization’s ability to build, deploy and scale new features.

etcd in Kubernetes: What is it and Why is it Important?

A Comprehensive Guide for SREs Build Foundational Knowledge on How etcd fits into the Kubernetes Ecosystem etcd is the single source-of-truth data store for the Kubernetes cluster. As a Key-Value store with advanced features, etcd stores mission-critical Kubernetes data: configuration data, the cluster state and metadata. This information is key for the Kubernetes cluster to scale and self-heal. If etcd malfunctions, it can cause failures on the Kubernetes cluster.

What is Application Performance Monitoring (APM)?

As modern applications and IT infrastructures become increasingly complex, the need for effective monitoring and management tools has never been more critical. Application Performance Monitoring (APM) is a comprehensive approach that provides visibility into application performance, availability, and user experience. APM is an important tool for platform engineers and developers who are tasked with ensuring that applications run smoothly and efficiently and meet end-user needs.

How to achieve Observability for Microservices-based apps using Distributed Tracing?

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.
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AI engineering for AI Error Resolution

Smart engineering teams are working out how to use Large Language Models (LLMs) to solve real business problems. At Raygun, we're no exception, and we're committing our time and effort to developing AI software applications that bring value to our customers. Our first AI-powered release is AI Error Resolution (AIER), a novel Crash Reporting feature that takes debugging with ChatGPT to the next level. We know that LLMs have already dramatically increased software engineers' productivity.

Performance matters: KPIs to keep your app running smoothly with application performance monitoring

When it comes to ensuring your application runs smoothly, tracking the right KPIs (Key Performance Indicators) is essential. These metrics provide insights into how well your application is performing and highlight areas that need improvement. In this post, we’ll explore the critical KPIs you should monitor to keep your application in top shape.

Deep dive into observability of Messaging Queues with OpenTelemetry

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.