Operations | Monitoring | ITSM | DevOps | Cloud

Containers have been the buzz among developers in recent years with the adoption of cloud-native orchestration tools like Kubernetes and DevOps workflows centered around containers. At the same time, virtual machines (VMs) still power many enterprise workloads, whether they’re running in a public cloud provider like Azure or an on-premises data center running VMware. In one of my early jobs, we built a private cloud—in 2012. This was a ground-breaking project at the time.

In a rapidly changing field like technology, it's essential for IT leaders to stay up-to-date on the latest trends. And one of the best ways to do this is by reading thought-provoking tech books. In general terms, there are two kinds of books you can read. The first group consists of technical texts or those focused on frameworks, best practices, and other formal topics you want to expand your knowledge on.

It's a story as old as the web itself: someone on your team gets excited to install a new tool. The tool promises to finally give you a clear view into the problems your users have with your product. Your team agrees to give it a go. The errors start coming... ...and they don't stop coming... Soon enough, most of your team has either created an email filter to manage all the alerts, or has unsubscribed themselves entirely. Just like all the other tools. Welcome to alert fatigue.

For software development teams to make meaningful progress, they must invest in efficient monitoring, reporting practices, and tooling. This is because only by keeping track of select metrics, such as those pertaining to application performance, will you know whether you are on the right track. Without knowledge of whether the software is functioning and performing as it is supposed to, there is no way of knowing what, if any, changes need to be made.

Native MQTT eliminates the need to write custom code, orchestrate additional technology layers or incorporate additional hosting services. MQTT is a powerhouse within the Internet of Things (IoT) space. Its pub/sub model and lack of defined payload structure make it infinitely adaptable to the needs of modern sensors, devices and systems. IoT data is also time-series data.

Ah SpiceWorld. One of NinjaOne’s favorite conferences – and a personal favorite of mine. So after two years of the show being virtual, we were thrilled to learn that SpiceWorld would be back in-person this year (with a virtual element too). We couldn’t wait to see everyone in person again! Conversations with customers in the NinjaOne booth Now that the show is over, I didn’t want to miss the opportunity to showcase what Ninja was up to and highlight the great work of our team.

Most software companies rely on DevOps at some scale to aid their software development and deployment processes. DevOps has recently seen a major increase in popularity due to the advent of cloud-based tools and automation possibilities. DevOps can help you completely forget the woes of deploying software and focus better on building better apps and providing a holistic experience for your end user. However, just like other things in tech, DevOps is not perfect.

Cloud-native applications offer a lot of flexibility and scalability, but to leverage these advantages, we must create and deploy a suitable environment that will enable cloud-native applications to work their magic. Managed services, self-managed services, and bare metal are three primary categories of Kubernetes deployment in a cloud environment.

Grafana Labs CEO and Co-founder Raj Dutt sat down with “NYSE Floor Talk” ahead of ObservabilityCON to discuss why companies are increasingly focused on observability as a means to improve customer satisfaction. In his conversation with Judy Khan Shaw, host of “NYSE Floor Talk,” Dutt also talked about Grafana Labs’ big tent philosophy and the growth of Grafana Labs and the Grafana open source community.

Monitoring KSM (Kernel Same-page Merging) performance at deduping memory shared across VMs.