Operations | Monitoring | ITSM | DevOps | Cloud

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

Raygun4Net update: Portable PDBs and offline storage

We’re excited to roll out support for Portable PDBs and offline error storage in Raygun4Net 11.0.0. In this article, we’ll break down these features and how they can enhance your error identification and debugging process. Ever seen an error in Raygun but missing the file and line number in the stack trace? This happens when debug symbols aren’t available at runtime. With Portable PDB support, this issue is resolved.

The Importance of a Cloud Exit Strategy: What It Is, Who Needs It, and How to Plan It

Do you need a “Cloud Exit Strategy”?. In recent years, cloud services have become an integral part of the digital infrastructure for businesses of all sizes. Organizations are increasingly leveraging cloud computing to enhance their operations.

Improve mobile vitals using Site24x7 mobile APM and crash analytics

Between your app server and your customer's fingertips, your mobile application or website's performance depends on many factors. Often, what you give may not be what the customer gets, as several things can get in the way, such as bottlenecks, server performance issues, network woes, and un-optimized code. All these factors prevent your customers from experiencing fluid, fast, and functional apps and websites as intended.

Application performance management in Applications Manager

Application performance management (APM) is a practice that involves the process of managing, monitoring, measuring, and optimizing the performance and availability of software applications to meet expected levels of service. It involves constant tracking of how your application is performing at all times and helps you detect, diagnose, and resolve complex issues swiftly to ensure it runs effectively and efficiently to meet end-user expectations.

Monitor your AWS generative AI Stack with Datadog

As organizations increasingly leverage generative AI in their applications, ensuring end-to-end observability throughout the development and deployment lifecycle becomes crucial. This webinar showcases how to achieve comprehensive observability when deploying generative AI applications on AWS using Amazon Bedrock and Datadog.

Understanding application performance monitoring

Applications drive user engagement, support internal operations, and facilitate revenue generation for modern businesses—so much so, that it could be called a fundamental element of an organization. Application performance monitoring ensures these applications function optimally and reliably. It provides insights for proactive problem identification and prevention to minimize downtime and ensure a smooth user experience.

Introducing Raygun AI Error Resolution for Aspire

Last month, we rolled out Raygun4Aspire, our Crash Reporting client for.NET Aspire applications. That release included a free, lightweight version of the full Raygun web app that runs locally. After the successful launch of our recent AI Error Resolution feature for Crash Reporting, we knew that we had to bring this feature into the Aspire local development experience. Today, we’re thrilled to announce that AI Error Resolution for Raygun4Aspire is now available for all Aspire app developers!