Operations | Monitoring | ITSM | DevOps | Cloud

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.

Many often wonder, “Is there a difference between observability and monitoring?” The thing is as IT environments have become more complex, monitoring alone has become increasingly less effective. That’s because while monitoring is crucial, it isn’t particularly suited to tracking unforeseen or unexpected turns of events. That’s what observability is meant for. This guide will clarify what observability and monitoring are – and how they differ.

Monitoring SNMP (Simple Network Management Protocol) devices is crucial for maintaining network health and security, enabling early detection of issues and proactive troubleshooting. Continuous monitoring ensures efficient resource utilization, minimizes downtime, and enhances overall network performance. In this article, we'll detail how to use the Telegraf agent to collect SNMP (MIB) performance statistics that you can forward to a data source.

As the demand for cloud resources continues to surge, innovative cloud storage providers like Wasabi are reshaping the industry with their agile and cost-effective solutions.

In the dynamic world of container orchestration, Kubernetes stands out as the undisputed champion, empowering organizations to scale and deploy applications seamlessly. Yet, as the deployment scope increases, so do the associated Kubernetes workload costs, and the need for effective resource capacity planning becomes more critical than ever. When dealing with containers and Kubernetes you can find yourself facing multiple challenges that can affect your cluster stability and your business performance.

In this blog, we will discuss the five important metrics that'll help you fine-tune your Azure App Service environment effectively.