Operations | Monitoring | ITSM | DevOps | Cloud

In the latest instalment of our interviews speaking to leaders throughout the world of tech, we’ve welcomed Chris Campbell, CIO at DeVry University.

As on-premises infrastructure and workloads increasingly migrate to the cloud, you’ve undoubtedly encountered many challenges in managing complex cloud architectures. These hurdles include juggling cost-efficiency and security to maintain a seamless, high-performance infrastructure. Navigating your cloud infrastructure landscape requires thoroughly understanding its virtualized elements—servers, software, network devices, and storage.

Moving to Teams Phone as your primary voice system can save money and provide a great user experience, or it can “crash and burn”. In a two-part workshop, I had the opportunity to explore insights to help migrate successfully to Teams Phone with Greg Zweig of Ribbon. (Ribbon was kind enough to sponsor both workshop sessions.) This article summarizes the information we covered in the workshop.

In the ever-evolving landscape of software development and IT operations, monitoring tools play a pivotal role in ensuring the performance, reliability, and availability of your applications. Two key disciplines in this domain are observability and Application Performance Management (APM). This post will help you understand the nuances between observability and APM, exploring their unique characteristics, similarities, benefits and differences.

This is the third and final blog post in a series about shifting Observability left. If you have not yet read the first two, you can find the first post here and the second post here. Observability is fundamental to modern software development, enabling developers to gain deep insights into their application’s behavior and performance.

Computer vision: digital understanding of the physical world From face recognition to fire prevention, autonomous cars to medical diagnosis, the promise of video analytics has enticed technology innovators for years. Video analytics, the processing and analysing of visual data through machine learning and artificial intelligence, is perceived as a significant opportunity for edge computing.

Since enabling browser profiling on our Sentry.io dashboard a month ago, we have collected over 2M profiles and learned a lot about how our users experience our dashboard. The profiles collected gave us insight into how our dashboard performs in production and surfaced some issues causing UI jank. In this post, we will look at an example of an issue we discovered using Profiling.