We take pride in our diverse range of customers and users worldwide who trust Icinga for their monitoring needs. That’s why we’re showcasing some of these enterprises with their Success stories. It’s stories from companies or organizations just like yours, of any size and different kinds of industries.

Without a doubt, you’ve heard about the persistent talent gap that has troubled the technology sector in recent years. It’s a problem that isn’t going away, plaguing everyone from engineering teams to IT security pros, and if you work in the industry today you’ve likely experienced it somewhere within your own teams. Despite major changes in the tech landscape, it is clear that organizations are still having significant difficulty keeping their technical talent in-house.

KubeCon Europe 2024 in Paris was the biggest event of the Cloud Native Computing Foundation (CNCF) to date. With over 12,000 participants, it was a monumental event, setting the stage for the latest trends and developments in cloud-native computing. As your loyal CNCF Ambassador, I’m here to share some of the important updates you don’t want to miss. I also invited fellow CNCF Ambassador Thomas Schuetz to join me with his own insights.

Monitoring tools are critical for DevOps, enabling them to quickly find and rectify performance issues. With the increasing popularity of Docker, it has become crucial that organizations can effectively monitor these containers. But, as monitoring Docker containers is particularly complex, developing a strategy and an appropriate monitoring system is not simple. However, this process can be streamlined by utilizing a Docker monitoring tool.

Modern monitoring systems depend heavily on ‘Alerting’ to reduce the Mean Time to Detect (MTTD) faulty systems. But, alerting hasn’t evolved to meet the demands of modern architectures. We’re changing that with Alert Studio.

When deploying an application using Kubernetes, you get used to all your resources being manageable by describing them to the Kubernetes API. Whether it’s deployments, secrets, configurations, or entire machines, everything exists as code somewhere. Introducing a cloud service into such an environment often means introducing additional ways to configure it, which can become cumbersome, given the rising number of cloud services modern applications depend on.

In today’s fast-paced cloud environment, understanding the pricing model of some of the best cloud monitoring tools like Datadog is essential in optimizing costs. With several features and adaptable pricing, clarifying Datadog costs and aligning them with your organization’s operational needs is vital for fully harnessing this robust monitoring tool. This guide simplifies Datadog pricing, offering a clear overview of its cost structure.

Many articles that you may find on the web discuss the importance of reducing Azure costs by identifying and removing unused resources. Still, they often fall short of providing practical methods to achieve this. However, Turbo360 has introduced a new feature that simplifies identifying idle or unattached Azure VM disks, eliminating the need for complex queries or PowerShell scripts.