Operations | Monitoring | ITSM | DevOps | Cloud

April 2025 has brought some important news in the world of open source and software supply chain security: Fedora has announced a change proposal to make 99% of its package builds reproducible in its upcoming Fedora 43 release. At first glance, this might seem like a low-level Linux packaging detail. But in reality, this is part of a much bigger shift that touches anyone who builds, ships, or consumes software - including us at Cloudsmith and the developers and enterprises who rely on us.

An overview of the benefits, challenges, and philosophy behind consolidating your observability tools Picture this: It's 3:00 a.m., and your phone is buzzing with alerts from what seems like a dozen different monitoring tools. As you blearily scroll through the notifications, you can't help but wonder, "How did we end up with so many tools, and why can't they just talk to each other?".

Remember when monitoring your apps meant checking if they were up or down? Yeah, those days are long gone. As systems have gotten more complex—microservices talking to other microservices, containers spinning up and down, serverless functions doing their thing—the approach to understanding system health has had to level up too. APM tools have been the bread and butter for DevOps teams for years, but now everyone's talking about observability.

Let's talk about something central to DevOps work: logging vs monitoring. While both are essential components of maintaining system health and reliability, they serve distinct purposes and complement each other in different ways. The distinction between them isn't always clear-cut, especially as tooling continues to evolve. This guide talks about the practical applications, technical differences, and implementation strategies for both logging and monitoring in modern DevOps environments.

Effective database monitoring is essential for maintaining application performance and reliability. This guide explores how to implement OpenTelemetry with PostgreSQL, providing DevOps engineers and Site Reliability Engineers with practical steps for comprehensive database observability.

Amazon EventBridge is a powerful tool for building event-driven architectures. It’s built to connect and simplify real-time data processing and automation across your cloud stack (AWS services, customs apps, and SaaS applications). But when it comes to pricing, things can get a little tricky. Estimating EventBridge costs at scale is often daunting. There are just too many moving parts involved. That’s why in this guide, we’re breaking down what goes into an Amazon EventBridge bill.

Explore how ephemeral environments help development teams scale efficiently. This strategic guide for CTOs covers key benefits, technical insights, and practical steps to boost deployment speed, reduce costs, and streamline testing.

If 2023 was the year AI entered the enterprise conversation and 2024 was the year of AI overhype, 2025 is the year it takes action. “Agentic AI” has quickly become the banner term for next-gen systems that aren’t limited to generating responses—they operate, decide, and resolve. The shift from passive chatbots to autonomous agents is underway, and for IT operations teams, the implications are massive.