Azure offers diverse cloud resources that empower businesses, but managing costs can be challenging without a clear view of expenses per resource. For organizations, understanding Azure costs per resource is essential to optimize spending, predict expenses, and make data-driven decisions. This blog will guide you through calculating and monitoring costs for individual Azure resources, using native tools like Azure Cost Management, and providing tips on reducing unnecessary expenses.

In September we introduced Authd, a new authentication daemon for Ubuntu that allows direct integration with cloud-based identity providers for both Ubuntu Desktop and Server. At launch, Authd supports Microsoft Entra ID (formerly Azure Active Directory), making it a useful tool to centralize authentication for both the application and the infrastructure layer. In large enterprises system administrators often need to deploy and manage applications and their configuration at scale.

As the SaaS industry grows enormously, data management has become a major challenge for most organizations. MongoDB provides a robust framework for managing and scaling data. Its document-based model simplifies handling diverse data types, making it ideal for real-time applications and large datasets. This guide covers the top MongoDB tools that help businesses stay agile and competitive in data-driven environments. But first, how does MongoDB compare to traditional SQL databases?

One of the most important aspects of a product is the ability to showcase its functionality. In the API space, it’s very important for a product to not just claim something, but to show that utility and use. One of the best ways to do this is through the use of a demo environment. A demo environment is a perfect method to surface a specific use case or example for users, showcasing functionality that is often tailored to a specific interest group.

Explore the key differences between Filebeat and Logstash to choose the right tool for your logging setup and optimize performance.

Learn how to implement effective Kubernetes observability with metrics, logs, and traces to monitor and optimize your clusters at scale.

Let’s face it—today’s IT environments are messy, complicated beasts. Between hybrid clouds, sprawling networks, legacy systems, and digital transformation demands, the need for intelligent automation and orchestration has never been greater. That’s where Service Orchestration and Automation Platforms (SOAPs) come in. Think of them as the conductors of your IT symphony, ensuring all the instruments (tools, teams, and systems) play together harmoniously.

What is the future of software development and deployment? DevOps processes have helped take developers and operations folks out of their silos and share responsibilities. But is it enough to succeed long term? Many companies have yet to embrace DevOps completely across their teams. Clearly, the culture of sharing tools, a key aspect of DevOps, is not enough.

DCIM software consolidates all critical information into a single dashboard, giving you a bird’s-eye view of your entire infrastructure. Centralized monitoring minimizes blind spots and ensures real-time visibility of key metrics like power usage, cooling efficiency, and server health.

Back in the spotlight, HAProxy 3.1 builds on its history of innovation, delivering improvements that ensure it remains the go-to open source load balancer! As usual, all the features announced in this release will be incorporated into the next enterprise release (HAProxy Enterprise 3.1). HAProxy 3.1 brings improvements to observability, reliability, performance, and flexibility. So everything we love about HAProxy is now even better!