Operations | Monitoring | ITSM | DevOps | Cloud

This year, no sector has been spared from the business changes caused by the Covid-19 pandemic, which have almost always been painful ones: millions of dollars in losses for theaters, which still do not know where or when they will premiere their films, a dying tourism sector, the world of hospitality ruined, parents who fear taking their children to school, bankrupted real estate companies… and a lot of glances towards heaven waiting for an answer, from the Most High above or from the extraterre

Software developers are often only concerned about the functionality of their applications. When these applications are deployed in production, scalability and performance issues surface and application developers then have to worry about performance. Many a times, such situations warrant a complete restructuring of the application code, causing significant impact to new rollouts and current users.

If you’ve been using SquaredUp for Azure, you’re familiar with its abilities to treat Azure native virtual machines . You can create a number of amazing and useful visualizations with them, such as displaying their health state, performance charts, costs, and so on. This is all excellent and super useful, but one question we frequently get asked is: how do I do these things with my on-prem servers that I’ve connected to Azure Monitor?

Hardware virtualization, also known as hardware assisted virtualization, is the creation of virtual versions of operating systems and computers. The technology was made by AMD and Intel for their server platforms. Its purpose was to improve the processor’s performance and meet virtualization challenges such as translating memory addresses and instructions. Many IT businesses have deployed servers that run only at a fraction of their total capacity.

You’ve probably heard about Prometheus, the leading open source project focused on metrics and alerting, and how it has changed the way the world does monitoring and observability. But if you’re brand-new to the technology, how can you dip your toes in and get started? I was in this position not long ago myself. I am a very hands-on type of learner, and usually when I want to explore new technologies, I start with “hello world” apps and small toy projects.

Of all the polls, round-ups, and end-of-year wrap-ups, none gives us as much trepidation as the 2021 projected line-up for MVP hacks. As provider lists grow longer, and monitored data grows broader, we decided to distill our list of culprits down to the most likely suspects you’ll need to monitor. Ready? Okay!

BugSplat recently added Crash Grouping and Aggregation in Search. Grouping crashes provides new insight into your product's stability and allows you to prioritize fixes based on a wide variety of criteria. To try out this new feature, navigate to the Crashes page.

Do you know what files your employees access to? Do you know when they create new files? How about when they copy, move, or delete files? How confident are you that your databases are safe and secure from potential intrusions? These are the types of questions any business owner should ask themselves, especially now. With more people working from home and telecommuting, you need to know exactly what databases and files your employees access, use, update, change, alter, move, and delete.

In this tutorial, we will discuss InfluxDB and its Python client. We will deploy InfluxDB inside a Kubernetes cluster and then use the InfluxDB Python client to send data to InfluxDB.

Under intense competitive pressure for customers and employees alike, most businesses today are pursuing aggressive digital transformation strategies. IDC predicted that nearly US $1.3 trillion was spent worldwide on digital transformation technologies – namely hardware, software, and services – in 2018, and tips that figure to nearly double in 2021 to reach more than US $2.1 trillion.