Operations | Monitoring | ITSM | DevOps | Cloud

In this article, you will learn all about middleware and the important role it plays in modern software architecture.

Kubernetes is a powerful tool for deploying and managing containerized applications. However, managing its clusters is a critical but challenging task for many organizations. Today, we will discuss the benefits of managing multiple clusters, and the challenges they present, and offer a quick technical guide on managing these clusters efficiently.

At incident.io, “We care about our customers” isn’t just a talking point. It’s a core part of how we operate. Whether it’s a big feature request or a small bug fix, we’ve been intentional about making sure that customers always feel heard and seen—no matter the ask. But it’s not just that.

Artificial intelligence is the most exciting technology revolution of recent years. Nvidia, Intel, AMD and others continue to produce faster and faster GPU’s enabling larger models, and higher throughput in decision making processes. Outside of the immediate AI-hype, one area still remains somewhat overlooked: AI needs data (find out more here).

Users often find themselves puzzled by the concepts of decentralized or distributed monitoring. This confusion is likely due to many monitoring systems claiming distributed capabilities, making it challenging to discern how Netdata stands out. To grasp the distinction, we must delve into the evolution of monitoring systems. When the first monitoring systems were created, about 20-25 years ago, they were built as SNMP collectors.

It’s getting more expensive to rent space in colocation data centers. According to CBRE, colocation rates are up 18.6% year-over-year to a record $163.44 per kW/month due to limited supply and strong demand. Average Asking Rental Rate with Y-o-Y % Change for Primary Markets *Rental rates are quoted asking rates for 250-500 kW at N+1/Tier III requirements. Image Source: CBRE Research, CBRE Data Center Solutions, H2 2023.

There’s more pressure than ever to deliver high-availability Kubernetes systems, but there’s a combination of organizational and technological hurdles that make this ‌easier said than done. Technologically, Kubernetes is complex and ephemeral, with deployments that span infrastructure, cluster, node, and pod layers. And like with any complex and ephemeral system, the large amount of constantly-changing parts opens the possibility for sudden, unexpected failures.