Operations | Monitoring | ITSM | DevOps | Cloud

AI cost management software gives finance and engineering one view of AI spend, ROI, and cost per inference. Here is how to evaluate, choose, and buy the right AI tool in 2026.

Most organizations already understand encryption at rest and encryption in transit. These controls are mature, widely deployed, and often explicitly referenced in security frameworks. However, runtime is different: when an application processes sensitive information, that data is typically available in memory.

With a robust background in cloud technology and a passion for promoting its merits and potential, I am thrilled to spearhead conversations and actions that help shape the future of this industry. Kellyn has authored numerous technical books, white papers and solution repositories in GitHub on database, AI and engineering topics.

Discover 8 critical questions engineering leaders must ask to measure and improve developer productivity. Learn how to assess team velocity, identify bottlenecks, and leverage DORA metrics for data-driven decisions that enhance engineering performance and developer experience. Why does developer productivity feel like it's declining even as your team grows? You hire more engineers, yet features ship slower. Sprint velocity looks healthy on paper, but deployment frequency tells a different story.

Cloud cost optimization often fails not because the tools are broken, but because organizations use outdated approaches. This article explores why traditional cost optimization strategies fall short and reveals how modern FinOps practices and governance frameworks drive sustainable cloud savings. Your cloud cost optimization strategy just flagged a $47,000 anomaly in last month's Kubernetes spend. Finance wants answers. Engineering claims everything is running normally.

This comprehensive guide walks you through installing Terraform with a focus on security hardening and scalable infrastructure automation. You'll learn installation steps across platforms, configuration best practices, and how to set up Terraform for production-ready IaC deployments that grow with your organization's needs.

As development shifts toward agentic workflows, an AI agent is only as capable as the systems it can reach. Local MCP servers allow desktop CLI and IDE agents to execute multi-step tasks on your machine. But remote MCP servers (also called hosted MCP servers) extend that reach to cloud-based and background agents, allowing an agent running in a web browser, a CI runner, or a backend service to access external tools over HTTP without needing a developer’s machine running local child processes.