Operations | Monitoring | ITSM | DevOps | Cloud

This post was written by Talha Khalid, a full-stack developer and data scientist who loves to make the cold and hard topics exciting and easy to understand. No one has any doubt that microservices architecture has already proven to be efficient. However, implementing security, particularly in an immutable infrastructure context, has been quite the challenge.

Edge computing and fog computing are technological advancements gaining traction in a hyper-connected world. Being close to the source, edge computing enables data collection and processing at the fastest possible speeds. Instead of sending all the data to a remote cloud location through the internet with latency, edge devices store and process most of it onsite and pass the heavy lifting to the central cloud to achieve the quickest turnaround.

The pandemic has exacerbated the staff shortage in healthcare, placing a disproportionate burden on the industry, and underscoring the significance of effective resource scheduling. While resource scheduling encompasses the allocation of healthcare staff and physical resources and assets, in this blog, our primary focus will be on healthcare staff. Resource scheduling plays a vital role in ensuring the smooth operation of healthcare facilities.

When you need to monitor internal-facing APIs or private URLs that are behind your firewall, you need a secure solution. This is where private locations come into play. Private locations allow you to create custom locations in mission-critical areas of your business. If your customer relationship management platform goes offline, for example, you could lose customers and revenue.

As a distributed global organization with a hybrid workforce, UNUM, a Fortune 500 insurance company, faced unique technological challenges in managing its Microsoft Teams Rooms (MTRs). Research shows that approximately 3% of Microsoft Teams calls are poor or fail each day, with the vast majority caused by IT issues.

You may have heard the term “network observability” regarding solutions that offer a deep and contextual view into the network. You’ve likely heard other terms, such as ‘network visibility,’ “network visualization” and of course “network monitoring.” But, experts argue, what these terms each truly means is still open for debate.

Overwhelming volumes and varieties of observability data most businesses encounter on a daily basis is impossible for IT operations teams to manually sift through successfully. This can be a troubling reality when frequent high-value business data is required to consistently maintain the uptime and integrity of your services and applications.

Government and education leaders estimate that data volume at their organizations will increase by 59% over the next three years. Although having more information than you need is (arguably) better than not having it when you need it, the sheer volume of data can make it challenging for teams to pinpoint exactly what data will bring value to their mission goals.