At Raygun, we’re a pretty polyglot group of developers. Various parts of our code base are written in different languages and frameworks — whatever is best for the job. That said, large parts of Raygun written with.NET, and we’re big.NET fans. Given the prevalence of C# applications (C# has been in the top 5 on the TIOBE index for about 10 years!) and the massive scale of data Raygun deals with, we’re often called on to do C# optimization work.

Monitoring and troubleshooting distributed systems like those built with microservices is challenging. Traditional monitoring tools struggle with distributed systems as they were made for a single component. Distributed tracing solves this problem by tracking a transaction across components. In this article, we will implement distributed tracing for a Java Spring Boot application with three microservices.

eG Enterprise is designed to be deployed automatically at scale within IaC type workflows and by products such as Nerdio Manager that facilitate automation. Deployment of eG Enterprise can be automated with or without Nerdio Manager. Many of our customers do choose Nerdio Manager to automate other workflows and to create and manage images for Azure Virtual Desktop (AVD) deployments.

OpenTelemetry consists of several main components. But to understand the architecture, we will start by understanding some of the key design principles behind the design and architecture of OpenTelemetry. But before that, let us have a brief overview of OpenTelemetry.

We’re excited to announce the offical Beta launch of the Raygun API, allowing you to extract, manipulate, and visualize insights from your account in innovative ways. This is included with all Raygun plans, and is now readily available to customers of all sizes. We’ve made the decision to release this Beta sooner than anticipated, as we’re eager to receive your early feedback to make sure we’re focussing on the endpoints that provide the most value to your team and business.

Previous versions of eG Enterprise limited the eG Manager integration to a single ITSM system such as ServiceNow ITSM, Autotask, JIRA or others. This limitation was particularly cumbersome for SaaS and MSP (Managed Service Provider) deployments where each tenant/customer may have had their own preferred ITSM system. Our latest release lifts this restriction. ITSM integration can now be done for a specific Organization, Organizational Unit, or even User.

In today’s fast-paced world, app performance equals brand reputation. Customers expect apps that are fast, responsive and available 24/7. That’s where Application Performance Monitoring (APM) comes in. The technology enables businesses to ensure the best possible user experience by monitoring and managing the performance of their applications. But as applications become increasingly complex, identifying and resolving performance issues in real-time becomes increasingly difficult.

The reviews are in! We are thrilled that eG Enterprise has been recognized by SoftwareReviews, a division of Info-Tech Research Group, as a Champion in the 2023 Application Performance Management – Enterprise (APM) Tools Emotional Footprint Buyer’s Guide. Moreover, eG Enterprise APM was ranked in the top spot out of 14 vendor solutions.

Observability vs monitoring has been a common topic in DevOps recently. There has been a lot of debate, and I have learned a lot from them when I started my observability journey. Most literature on observability is associated with a particular product or shares a textbook definition. In this blog post, I want to give you a practical understanding of observability and the differences between observability and monitoring with different scenarios and examples. We will cover the following topics here.