Operations | Monitoring | ITSM | DevOps | Cloud

As part of Nexthink’s launch of the new Nexthink Infinity Platform we also launched Collaboration Experience – adding detailed Microsoft Teams and Zoom call telemetry and insights to the comprehensive “See, Diagnose & Fix” capabilities of the platform. After 4 months, we are ingesting telemetry from almost 2 million employee calls and sessions a day – great testimony to the power and scalability of the Nexthink Infinity platform.

“If that doesn’t work, try a bigger hammer.” It’s an old saying we can all appreciate, but it isn’t always the best solution. Regarding the mobile workforce, smaller is sometimes better. As consumers, we’ve watched cell phone handset sizes change: first from large 1980’s car phones to pocketable “brick” phones. Then, smaller “flip” phones were replaced by our larger smart phones, which vary on screen size but remain pocketable.

We recently got this great feedback from a dear user in our Discord: This is great and exactly what we want, a clear problem or improvement we could make to help make that users monitoring life a little easier. This is also where the beauty of open source comes in and being able to build on the shoulders of giants - adding such a feature turned out to be pretty easy by just extending our existing Pandas collector to support SQL queries leveraging its read_sql() capabilities.

Data hygiene is a critical but often overlooked concept for businesses of all sizes. Think of any activity that involves the use and storage of data, like customer relationship management (CRM), marketing automation, customer service, or analytics; then add in trends like increasing regulations and customer expectations around privacy. Data hygiene needs to be on the top of your list when you’re managing customer relationships across multiple channels.

Alphabet. Netflix. Shopify. Amazon. Meta. Microsoft. These are just a few of the leading tech companies that recently laid off thousands of employees. Slashing jobs, because it is often one of the biggest expenses for tech companies, may seem like a quick fix, but it can be counterproductive, especially when it impacts experienced engineers. So, what are the specific reasons tech companies are cutting jobs? And what are the alternatives to layoffs?