Operations | Monitoring | ITSM | DevOps | Cloud

Teams continuously deploy programmable telemetry pipelines to production, without having access to a dry-run mode. At the same time, most organizations lack staging environments that resemble production – especially with regards to observability and other platform-level services.

Artificial intelligence recently took a major leap from “saying” to “doing.” Instead of simple back-and-forth chats, we’re now allowing automated AI processes to take action on our behalf—from responding to emails to building and deploying complete applications. This shift from “assistant” to “actor” can make applications more capable, but it also creates additional failure modes.

Struggling with cloud complexity? Compare dedicated, partner, and IPsec connections to find the right private connectivity solution. Multicloud environments bring complexity, and how you connect to your CSPs can make or break performance, cost, and reliability. Here’s how dedicated, partner, and IPsec connections compare — and which might be right for your business. There are three main methods of connecting to the cloud with private connectivity.

Not long ago, cloud cost was an engineering problem. FinOps teams owned it, finance leaned in occasionally, and everyone else stayed out of it. Now, that’s changed. AI changed who has skin in the game. CFOs get asked about it in board meetings. CEOs field questions on earnings calls. The audience for cloud cost management has exploded — and that means the conversation CloudZero is built to enable isn’t only a technical one, it’s a business one.

We hear a lot of war stories from the teams we work with. Horror stories about cloud bills, surprise overages, and the infrastructure decisions that seemed perfectly reasonable at the time. This one comes from Erik Dasque, CTO at Allure Security. It involves a junior developer, a Kubernetes CronJob, and a recurring bill that, if not caught, would have happened on a yearly basis.

AI is changing both what you build and how you build it - at the same time. Today, Harness is announcing two new products to secure both: AI Security, a new product to discover, test, and protect AI running in your applications, and Secure AI Coding, a new capability of Harness SAST that secures the code your AI tools are writing.

--- ‍Key Takeaways --- AI can generate code in seconds. It still can’t ship software safely. That gap isn’t about model quality or prompt engineering. It’s about context, and most software organizations don’t have a system that accurately reflects how pipelines, services, environments, policies, and teams actually relate to each other. Without that context, AI doesn’t automate delivery. It amplifies risk.

This is a guest post from udara.ratnakumara. In a recent webinar I hosted with my colleague Chris Hawkins, Inside a DBA’s Day: What Really Happens and How to Stay Ahead, we talked through the realities of a typical DBA day and the practical ways teams can stay ahead of issues rather than constantly reacting. For many DBAs, the day doesn’t start with coffee. It starts with an alert. A report is suddenly slow. An application query is timing out.