Operations | Monitoring | ITSM | DevOps | Cloud

The COVID-19 crisis has put organizations in a position where 100% of employees need to work remotely from their homes. Popular technologies used for supporting remote employees include Citrix virtual application and desktops, virtual desktop technologies based on VMware Horizon, cloud-hosted desktops (DaaS), or just VPN connectivity. Until now, remote access from home was something a small percentage of employees used.

Software teams are under increasing pressure to ship code faster than ever before, but without the right workflow and tools in place, this can introduce unnecessary risk and headache. We wanted to share how to configure deployments, identify issues, and track performance gains using tools and process to get the best results and enable you to ship software with speed and confidence. The tools we will be using in today’s example include Jenkins, Octopus, and Raygun.

Today, Splunk announced a new milestone release of SignalFx Microservices APM, introducing groundbreaking innovations including: Full Fidelity tracing, AI-Driven Directed Troubleshooting, and open framework instrumentation. With the Splunk acquisition of SignalFx and Omnition now behind us, we’re excited to announce a new, revolutionary release of SignalFx Microservices APM.

Raygun’s Launch Notes are your regular round-up of all the improvements we made to Raygun last month — from significant features to performance updates.

One of the challenges introduced by microservices architectures is the ability to understand how the application performs and where most time is spent. The Elastic Stack and Elastic APM can provide observability for modern, microservice-based solutions as well as monolithic applications. Application Performance Monitoring (APM) combines different technologies to provide a deep, transparent and holistic view of what each service component is doing, where, when, and for how long.

Application performance monitoring (APM) is a critical part of a unified observability strategy. APM offers deep insights into application performance and behavior, and organizations depend on it to deliver performant and high-quality digital experiences to their customers — both for keeping a proactive pulse on the health of their applications and for troubleshooting issues.

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.