Operations | Monitoring | ITSM | DevOps | Cloud

Digital Experience Monitoring (DEM) is a growing practice within IT organizations that provides insight into the factors that make up the overall application User Experience (UX). As systems become more complex, as cloud adoption continues to grow, and IT loses direct control of infrastructure, it becomes both more difficult and more important to capture the overall end-user experience.

Microsoft Teams had an outage yesterday, on February 3rd 2020, for a few hours, and apparently it was due to an expired TLS / SSL certificate. The Internet erupted in delight over this for some reason with lots of coverage everywhere. Slack and MS Teams usually do garner more attention when they experience unfortunate outages most likely due to their rivalry. Apparently, because this was an expired certificate it gave everyone a reason to write “Oops” and other similar quips.

SAN FRANCISCO — February 4, 2020 — InfluxData, creator of the time series database InfluxDB, today announced the availability of InfluxDB Cloud on Google Cloud. The strategic collaboration, originally announced in April 2019, is part of a major Google Cloud initiative to make the most powerful open source technologies more accessible to its customer base.

Today we’re excited to announce the general availability of InfluxDB Cloud for Google Cloud. With this new service, GCP users can now use our leading time series data platform on Google infrastructure. This lets you address a wide range of use cases: server monitoring, IoT sensor data tracking, real-time customer analytics, application performance metrics, network monitoring, security threat detection, and financial market analysis.

The potential for disrupting business is much greater when you decommission a data center than if you’re constructing one. The process involves a lot more than just shutting down servers, turning off switches, and dismantling storage racks. In this article, we’ll consider some of the specifics and best practices required to achieve a smooth decommissioning process.

I have a confession to make. I was going to use this blog to wax poetically about the flaw inherent in the well-established notion of the Three Pillars of Observability. I was going to argue that a fourth pillar was badly needed: topological metadata. In other words, without annotating each data stream across the three common data types with a pointer to where that data in the deployment topology was coming from, all you have is a lot of data with no chance of making sense of it.

The infrastructure that runs your applications can be nearly as complex as the applications it supports. This complexity generally scales with the resilience of the architecture of your application, the scaling needs, and any security concerns. Thus, successful infrastructure for traditional applications often relies on a comprehensive tooling suite that allows the infrastructure engineers to iterate upon and improve your application’s resources.

You know Big-O is important - not only for acing your next job interview but for knowing how code works at scale. But have you ever taken the time to go beyond a superficial understanding of the subject? In this article, Julie Kent uses equal parts math and Ruby to reveal the beating heart of Big-O and show us how it ticks.

For those who don't know me, I'm a former SCOM admin, and I blog regularly about monitoring and co-organise Experts Live India each year. As one of SquaredUp's tech evangelists, I've recently taken on the task of figuring out Azure Monitor and documenting my journey so that others can find my — sometimes torturous — journey less taxing. This write-up is for you, hope you enjoy!