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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

25+ AWS Monitoring Solutions And Best Practices You Need In 2025

AWS is one of the most popular public cloud platforms, offering over 240 cloud services. Despite the cloud provider’s efforts to make its tools easy to use, managing the vast array of AWS resources and services can be challenging. For example, AWS environments require continuous monitoring to determine what changes need to be made to reduce costs, improve performance, and secure your systems. This is where AWS monitoring tools, services, and best practices can help.

How DevSecOps Automation Should (and Will) Change Your DevOps Security Practices in 2025

Learn how to use automation to combat this year's emerging DevSecOps trends. The dream of DevSecOps has always been resilience. To focus on proactive strategies rather than reactive firefighting; to learn from failures and build something stronger and more flexible in their wake. DevSecOps adoption may have grown, but implementation remains uneven: Many teams struggle to align their security and development workflows into a cohesive system.

How does MongoDB work?

Data is essential for gaining a competitive advantage in business. It has the power to reveal new insights that offer opportunities for profit, efficiency, and operational scaling. This is why organizations of all sizes and industries are eager to leverage data for an edge in the marketplace. However, working with data can be challenging for many businesses due to various obstacles like database storage scalability, security, and compliance.

The future of Kubernetes networking: Cilium and other CNIs with Canonical Kubernetes

Choosing the right Container Network Interface (CNI) for Kubernetes is critical to achieving optimal performance, security, and scalability. With the launch of Canonical Kubernetes LTS (long-term support) last month, Canonical decided to integrate Cilium as the default CNI in order to reflect our commitment to delivering a modern, security-maintained, high-performance Kubernetes experience.

When Should You Enable Trace-Level Logging?

There’s nothing like debugging a broken system at 2 AM, running on caffeine and frustration. When everything’s on fire, logs are your lifeline. That’s where trace-level logging comes in. Unlike standard logs, it captures the step-by-step execution of your code—think of it as the difference between a crime report and full CCTV footage. But more logs don’t always mean better debugging. Too much detail, and you’re drowning; too little, and you’re guessing.

9 Best Container Monitoring Tools You Should Know in 2025

In a world where containers power everything from startup MVPs to enterprise applications, keeping tabs on your containerized environment isn't just good practice—it's survival. Container environments are notoriously dynamic and ephemeral, creating unique monitoring challenges that traditional tools simply can't handle. We've sorted through the noise to bring you the nine tools that deliver.

Drinking Our Own Champagne: How CloudZero Saved $470,000 With More Performant Infrastructure

At CloudZero, we drink deeply of our own champagne. We consider ourselves customer zero, and use our product to its maximum potential, to reduce wasteful spending and improve our unit economics. We even use our software to drive meaningful board discussions (with help from a slide template you can download here).

Migrating and Optimizing Data Pipelines from Snowflake to Azure Databricks

This episode features a discussion between Lex and Henry Clavo, focusing on data migration and automation processes, particularly involving Snowflake and Azure Databricks. Henry shares his background in data analytics and consulting, detailing his experience with large-scale data migrations and the challenges faced in the industry. Timestamps.

Don't Let Agentic AI Become the Next Windows Paperclip

Microsoft’s recent trials of Co-Pilot Vision are paving the way for Agentic AI, a proactive and context-aware assistant that can enhance productivity by intelligently responding to user needs. By having visibility into what you’re working on, such AI can anticipate tasks, offer relevant suggestions, and reduce the friction of daily workflows. However, history has shown us that AI assistance, if not executed correctly, can become more of a nuisance than an asset.