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.

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.

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.

Did you know that companies typically waste as much as 35% of their budgets on unused compute resources? And, oftentimes, these idle resources are commitment waste — reserved commitments purchased at a discount but with the financial lock-in of one or three years. Commitments, such as Azure Compute Reservations (VM RIs), offer significant savings when compared to on-demand.

In the fast-paced world of IT operations, the culture permeating an organization is critical to its success. It drives behavior, efficiency, and organizational accomplishment. A blame-centric culture is particularly detrimental, creating an environment where finger-pointing is more important than problem-solving and fear reduces innovation. This negative culture damages individual morale and erodes the organization's collective resilience.

If you’ve recently migrated your data from one major cloud provider to another, you may have already noticed one of our top stories from last month. If not, we’ve got good news, so keep reading! And there’s even better news if you’re the type to get excited over the chance to learn more about FinOps and hone your craft.

Today many of your cloud solutions will be connected to a private network within Microsoft Azure for purposes like: An Azure virtual network can support a number of different IaaS, PaaS or SaaS resources being connected to it to support your growing cloud network estate.

It’s a scenario many developers know all too well: a configuration works flawlessly for one team member but doesn’t work for you. Starting a new job brings with it the excitement of fresh challenges and opportunities. However, it also entails the often painful task of setting up your development environment—a process that can be both time-consuming and complex. This setup phase involves installing dependencies, configuring projects, and troubleshooting issues that might arise.

The emergence of Ephemeral Environments poses a compelling question: What can organizations expect from adopting this transformative approach? What are the hurdles they may face along the way? And what results can they anticipate? These are the questions I will address in this article as we explore why Ephemeral Environments are garnering attention and what makes them so pivotal for engineering teams today. Let's go!

The Competition and Markets Authority (CMA) is investigating the state of the UK cloud market, and for good reason. While the submissions and commentary already submitted to the CMA point to various concerning practices, one issue stands out as the single biggest threat to a healthy, competitive landscape: excessive free cloud credits. This tactic, employed by the dominant hyperscalers (AWS, Microsoft Azure, and Google Cloud Platform), is akin to a drug dealer offering free samples.