Operations | Monitoring | ITSM | DevOps | Cloud

Open source software is everywhere. Research shows that around 97% of codebases contain open source software, and it’s clear to see why. It’s always magical to realize that there are thousands of free-to-use, ready-built programs and code repositories that solve problems you’d otherwise need to spend weeks building the solutions for from scratch. However, like with all software, you still need to ensure that your software supply chain is secure and safe to consume.

Kubernetes, also known as K8s, is an open-source, portable, and scalable container orchestration platform. With K8s, you can reliably manage distributed systems for your applications, enabling declarative configuration and automatic deployment. Yet, K8s can be resource-intensive and costly, with a rather steep learning curve. But in 2019, a lighter, faster, and potentially more cost-effective alternative appeared: K3s. Still, K3s is not a magic wand that works for all Kubernetes deployments.

Learn how to achieve and maintain HIPAA compliance on AWS with this comprehensive guide. Understand the shared responsibility model, essential architectural principles, and a practical checklist to protect PHI and avoid costly compliance violations. Discover how automation can reduce human error and streamline your security posture.

We’ve seen the same story play out time and time again in numerous SaaS companies: The problem often begins when engineers — with a technical understanding of cloud costs and a deep understanding of how to build robust products — struggle to communicate the actual business impact of their efforts to company leaders.

Fall is here again! These headlines might not be as good as a maple-sugar doughnut and a pumpkin-spiced coffee, but they’re excellent news for FinOps practitioners nonetheless (and they won’t put you into a sugar coma).

Uptime Institute’s 2025 Global Data Center Survey shows that capacity planning remains a top challenge for operators. Nearly one-third of vendors identify forecasting future capacity requirements as their customers’ single biggest issue, more than any other concern. Modern data centers face new complexities as digital services expand and hybrid IT architectures shift workloads across on-premises, colocation, and cloud environments.