Operations | Monitoring | ITSM | DevOps | Cloud

Observability is critical to any software development. It is a term that describes the ability to monitor the performance and health of applications, services, and infrastructure. Observability aims to quickly identify and troubleshoot problems before they become full-blown incidents that can lead to costly downtime. But how much should you invest in an observability stack? Regarding the cost of your observability stack, there is no one-size-fits-all answer.

Hello, fellow data enthusiasts and Google Colab aficionados! Today, we're going to explore how to monitor your Google Colab instances using Netdata. Colab is a fantastic platform for running Notebooks, developing ML models, and other data science and analytics tasks. But have you ever wondered how your Colab instance is performing under the hood? That's where Netdata comes into play!

Introducing Netdata's Demo Space, a quick and easy way to experience monitoring environments before you set them up yourself. At Netdata, we are always striving to provide the best monitoring experience for our users. We understand that adopting a new monitoring solution can sometimes be challenging, especially when you're unsure of how it will fit your specific environment. That's why we're excited to announce the Netdata Demo Space!

Everyone knows that MicroK8s is an extremely lightweight, extensible, reliable, CNCF-compliant distribution of Kubernetes. What you didn’t know until now is that it is even easier to install and manage as part of your AWS marketplace experience. First, a quick reminder of why MicroK8s is great: What is new is that MicroK8s is now available on the AWS marketplace, combining all of MicroK8s advantages with the convenience of AWS.

In this live stream, Sidd Shah and I discuss how Cribl Stream can empower Security Operations Admins to make the most of their CrowdStrike FDR data. They address the challenges faced by CrowdStrike customers, who generate a vast amount of valuable data each day but struggle to leverage it fully due to complexity and size.