Operations | Monitoring | ITSM | DevOps | Cloud

End-User Experience Management (EUEM) is evolving post-Covid-19. Businesses are now moving towards phase 4 of the Covid-19 timeline. This includes understanding remote worker behavior and preparing for the new normal. Technology and IT leaders are increasingly using data to measure the employee experience. According to Forrester, 64% of technology leaders will invest in data and analytics technology to improve remote worker experience. Employees will adopt a hybrid work approach and businesses will want to employ broader employee engagement analysis and understand why a problem is happening at remote locations. Engagement and productivity insights will be delivered via synthetic and real user monitoring for Microsoft 365, Office 365, Teams, and SaaS applications.

Real User Monitoring (RUM) is becoming increasingly popular during the pandemic as most employees start to work remotely from home. This type of passive monitoring approach captures the real end-user experience of accessing web applications. IT gathers SaaS application performance metric data and leverages those insights to quickly troubleshoot issues for remote workers. On the other hand, Synthetic monitoring emulates real users accessing cloud and infrastructure services like Microsoft 365. Businesses would benefit from a holistic monitoring strategy that includes both RUM and Synthetic tests to cater to the needs of a hybrid remote workforce.

In this presentation, Tammy shares important failure modes to consider when responsible for the reliability of Kubernetes in your organization.

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This week The Founders talk about the Basecamp drama and break down how it may impact companies using Rails. They also discuss customer support for developers and Gen Z's emoji game leaving Millennials and X's for dead. Check it out! ;-p (I've still got it!) FounderQuest Episode 16, Season 3 May 7, 2021.

In this short demo, see how LogDNA Boards can give you the ability to view trends in log data over time, and easily pinpoint areas of interest.

In this short demo, learn how LogDNA Views can help you dramatically decrease your mean time to resolution.

In this video, we'll show you how easy it is to get a micro cloud up and running with MicroK8s, even operating complex applications at the edge of the network, such as visual recognition.

Learn how to set up a Pi-Hole instance with a single command and a cluster of Raspberry Pis on MicroK8s. High availability, load balancing and Kubernetes configuration included. The Raspberry Pi 4 brings the graphics, RAM and connectivity needed for a Linux workstation, so why not use a cluster to set up your own Pi-Hole, the open source network-level ad blocker that acts as a DNS sinkhole or DHCP server.