Operations | Monitoring | ITSM | DevOps | Cloud

When beginning your digital transformation journey, should you invest in machines or in enabling operators?

The term “Industry 4.0” originated from a committee of German technocrats who wanted to make predictions about where technology was headed next. And certainly, it fits nicely in the storyline of the initial Industrial revolution with the rise of machines powered by steam and water, the second revolution sparked by the use of electricity, and the third revolution of automated production with robots.

TOP 10 IT Trends

Observability has gained a lot of momentum in the past year, be it full stack observability or data observability. Modern complex IT systems using clouds, microservices and serverless are easy to develop and deploy but extremely difficult to observe. These systems generate tremendous amounts of data and need an automated way of handling the volume. The next era of delivering customer experience is underpinned by the full stack observability capability.

What are CDN Logs and Why Do They Matter

Content Delivery Network produces numerous log files called CDN logs to deliver video across the internet to our homes and mobile devices. These logs contain crucial information about the CDN servers' performance and video streaming quality. Also, it contains terabytes of data, which has its own set of hurdles in terms of handling it in real-time and performing analytics to understand user experience and network concerns.

Deploy ImageLabeller with Bitbucket

Follow along with this step-by-step video series as Warren Marusiak, a senior technical evangelist, demonstrates pushing a code change to production using Bitbucket Pipelines CI/CD. To demonstrate how to develop, deploy, and manage applications using Jira Software and various connected tools, our team created ImageLabeller, a simple demo application built on AWS that uses machine learning to apply labels to images.

Deploy ImageLabeller with Github

Follow along with this step-by-step video series as Warren Marusiak, a senior technical evangelist, demonstrates pushing a code change to production using Bitbucket Pipelines CI/CD. To demonstrate how to develop, deploy, and manage applications using Jira Software and various connected tools, our team created ImageLabeller, a simple demo application built on AWS that uses machine learning to apply labels to images.

Deploy ImageLabeller with Gitlab

Follow along with this step-by-step video series as Warren Marusiak, a senior technical evangelist, demonstrates pushing a code change to production using Bitbucket Pipelines CI/CD. To demonstrate how to develop, deploy, and manage applications using Jira Software and various connected tools, our team created ImageLabeller, a simple demo application built on AWS that uses machine learning to apply labels to images.

Practical Tips & Tricks for Speeding Up Your CI/CD Pipelines

When developing software and maintaining CI/CD and testing pipelines we are often compelled to increase our test coverage by adding more tests, and therefore improve our apps’ quality. After all, more automation equals better software, right? There’s a flipside to this equation however, and a point at which we start seeing diminishing returns from each test we add. Taken to extreme, these diminishing returns begin to actively harm our ability to deliver working software.

Dashboard Fridays: Sample Microsoft Teams Dashboard

Join SquaredUp's Adam Kinniburgh and Purdue University's Daniel Parrott as they showcase this sample Microsoft Teams dashboard used by Purdue to visualize key Microsoft Teams usage metrics for their online classrooms. Built using SquaredUp, this dashboard keeps track of the total number of Teams and which are empty, allowing them to pinpoint issues with the data load to create the teams or update issues. The dashboard also monitors for empty class sections to help identify issues with the class selection process.