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Azure Monitor (Part 7): Mastering Application Performance Monitoring with Application Insights

In my last post I walked through a brief introduction to Application Insights, and APM tools in general, and hopefully the simple outside-in availability test I concluded the chapter with has been a useful starting point for you on your APM journey. In this post, I’m going to dig deeper into Application Insights and walk you through a use case that should make the purpose of Application Insights really clear.


Gaining Insights from Application to Mainframe with DX Dashboards

This post will help you to learn how to gain insights into modern application environments by leveraging the value inside your data lake with DX Dashboards. The main goal of having a common data lake is to eliminate the “fragmented” view of the IT landscape where each domain manager has a view of what is happening within their domain (e.g. APM monitoring tools has no visibility about what is happening on the network domain).


Elastic APM adopts W3C TraceContext

Distributed tracing remains one of the most important features of any tracing system. Nearly a year ago, we announced Elastic APM distributed tracing, let’s take a look at how this useful feature works behind the scenes. Over the past few years, many applications have adopted microservice architecture. Each of the services in a microservice architecture can have their own instrumentation to provide observability into the service.


Introducing New Landing Page with Personalized Summary Overviews

From Instana’s inception we have believed that in order for our users to get the most out of an Application Performance Monitoring (APM) platform we needed to lower the barriers of entry and make it easy for users to quickly find the information that is important to them. Instana has developed many technologies, like Application Perspectives, to democratize the use of our platform, enabling individuals on Operations, Development, DevOps, and SRE teams to work autonomously.


From distributed tracing to distributed profiling with Elastic APM

Distributed tracing is great — it helps you identify (micro)services within complex architectures having issues interfering with user experience, such as high latency or errors. But once a problematic service is identified, it can be difficult to find out which methods are to blame for the slowdown. Well, we have some big news to share for our Elastic APM users within the Java ecosystem.

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How to Ensure Great IT Performance for Remote Employees

Things are about to get real in so many ways. Companies are telling employees to work from home, which sounds great in theory — less contact, less chance for the COVID-19 virus to spread. But what about the strain it’s going to place on your IT infrastructure? Your employees will be connecting over a remote virtual infrastructure (Citrix, VMware, AWS, etc) and accessing a variety of in-house web applications (Java, .NET etc.) and SaaS services (Office 365).