Metrics help you understand how your business and applications are performing. Longer metric retention enables quarter-over-quarter or year-over-year analysis and reporting, forecasting seasonal trends, retention for compliance, and much more. We recently announced the general availability (GA) of extended metric retention for custom and Prometheus metrics in Cloud Monitoring, increasing retention from 6 weeks to 24 months. Extended retention for custom and Prometheus metrics is enabled by default.

This is part two of our journey towards monitoring Azure resources with SCOM, using the Azure Management pack. In Part 1: Installation, we finished installing the Management Pack and managed to connect one of our subscriptions where the resources we want to monitor are. Now, let’s move on to configuring the monitoring for actual resources or services.

An infrastructure, especially if it is scalable, can become extremely complex to visualize and observe. If something goes wrong, it would be difficult to fully understand the problem without a great data monitoring strategy. Information related to CPU, RAM, and statistics about SSH or HTTP servers are critical to understanding the performance of your web-application.

It’s an honor to be named a Leader in the 2020 Gartner Magic Quadrant for IT Vendor Risk Management Tools (ITVRM)! ServiceNow Vendor Risk Management delivers a fast, smart, and connected way to manage third-party risk and build supplier resilience. This recognition as a Leader in the 2020 ITVRM Magic Quadrant comes shortly after Gartner also named ServiceNow as a Leader in the 2020 Magic Quadrant for IT Risk Management and in the 2019 Magic Quadrant for Integrated Risk Management Solutions.

Gen Z's, who now represent a significant portion of the workforce, are bringing unique experiences and worldviews to the workplace. They're digitally native, socially conscious, and managed to survive a global pandemic and are starting their careers remotely. Snacks in the breakroom aren't their main concern. They're "conscious candidates," seeking passion and purpose to inspire their best work.

Once you’ve reached the point where you want to deploy your machine learning models to production, you will eventually need to monitor operations and performance. You might also want to receive alerts in case of any unexpected behavior or inconsistencies with your model or your data quality. This is where you most likely start learning about various aspects of Machine Learning Operations (MLOps).

From an economic perspective, we see COVID-19 as the thing that brought global business to a standstill. But I think that in the longer term, we’ll see it as the catalyst for accelerated digital transformation. The effect of the virus on business and IT leaders has been to dramatically compress the strategic long view. The trends businesses saw coming over the next five to ten years, the developments that will drive growth opportunities or pose a disruptive threat ...

As colleges and universities work through their plans for a safe reopening this fall, they’re realizing that one of the most profound impacts of the COVID-19 pandemic has been the system shock it delivered to the planning process. Post-secondary institutions have always had to be masters of innovation.

As a consumer, you most likely can agree that the overall experience in the buying process is equally, if not more, important than the product or service itself. Forbes actually says 73% of consumers say a good experience is key in influencing their brand loyalties. A haircut, a fancy meal, or a new pair of shoes were nice, but what if the hairstylist, waiter, or sales associate was rude to you? What if they weren’t attentive and treated you as if you were dispensable to the business?

There are tons of query languages. Yet, another query language was invented: the StackState Query Language, or STQL for short. Perhaps this raises some questions. Such as: Why did we not choose to implement SQL? Did we reinvent the wheel? How did we balance the complexity of the language against the time to implement the language? What's the learning curve of this new language? Let me share with you our novel approach.