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

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Achieving a 12% performance lift migrating Raygun's API to .NET Core 3.1

Here at Raygun, improving performance is baked into our culture. We don't just think about our application performance, but more broadly, we look at our own infrastructure and ask if there's anything we can do to make it more performant for our business and for our customers. Two years ago, we switched our API from Node.js to .NET Core and achieved a 2000% increase in throughput. To continue that story, we recently upgraded .NET Core 2.1 to 3.1 and saw a 12% increase in performance. We enjoy presenting our performance findings, so in this post, we'd like to give some context into why we upgraded and the conditions that helped us achieve the 12% performance lift.

What's New in DX Application Performance Management SaaS

Over the recent years, APM solutions have been undergoing an evolution - implementing AI/ML, digital experience monitoring and adapting to support modern microservices and cloud-native applications. Along with the new challenges that modern applications bring about, end-user expectations also continue to grow, making it more important than ever for APM tools to enable IT to quickly detect and resolve issues.


Best Practices for Monitoring Azure Services

Monitoring your Azure cloud computing environment requires an understanding of each component of your Azure infrastructure and how they all interact. Cloud computing with Azure offers each of the three main advantages of cloud service providers: infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Combined, these three services provide a comprehensive cloud-based computing setup for any business.


Be a Better Java Developer With AppOptics Dev Edition

Monitoring your Java applications is an essential part of ensuring high availability and good performance. And yet, many Java developers hold off on practicing application performance management (APM) until they’ve already deployed their application to a test environment, or even to production. Perhaps they don’t have access to an APM solution with the right insights, or maybe they don’t have the time or resources to deploy to a temporary environment and wait for metrics to come in.

Observability at The Edge with Fastly and Datadog

You use CDNs because they allow you to serve content as quickly and reliably as possible. But how well are your systems performing? How securely are you moving data—and how do you know which parts of your environment are slowing you down? Learn how to improve end user experiences, accelerate development, and take full advantage of edge computing in this joint webinar.

Driving Service Reliability Through Autoscaling Workloads on OpenShift

In this webinar, Ara Pulido, Technical Evangelist at Datadog, will demonstrate how to autoscale your application workloads on OpenShift. You will learn frameworks for how to identify their key work and resource metrics; as well as how to use them to drive horizontal and vertical pod autoscaling so that you can maximize efficiency, while ensuring service reliability.

Learning from the visible past to accelerate the observable future

Observability is a highly visible topic in DevOps and Cloud Native discussions. But does observability need a bigger vision or broader applicability to break through to the next level? Can past precedents point a way to accommodate current and future technical trends? Metrics and logs are well understood, and distributed tracing has surfaced on the global developer consciousness. OpenTelemetry is a very good starting point for the next iteration, but it only addresses a subset of the problem space.