Operations | Monitoring | ITSM | DevOps | Cloud

Platform thinking is a term that has spread throughout the business and technology ecosystem. But what is platform thinking, and how can a platform strategy force multiply the observability capabilities of your team? Platform thinking is an evolution from the traditional pipeline model. In this model, we have the provider/producer at one end and the consumer at the other, with value traveling in one direction.

A large amount of data requires special tools. Apache Cassandra is one of those databases that can handle a large amount of data spread among many commodity servers, providing high availability and fault tolerance without a single point of failure. Developed under the umbrella of Apache Software Foundation, it ensures full visibility into the code base and being free of charge.

Lumen is a stripped down version of the powerful and now very popular Laravel PHP framework, focused on performance and serving stateless requests. I doesn’t have all the bells and whistles of Laravel, but it also doesn’t need them when serving API requests. For example, sessions, cookies and views are not a part of Lumen. It’s not intended for serving websites so everything around that got ditched.

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!

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.

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.

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?

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.

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