Operations | Monitoring | ITSM | DevOps | Cloud

Today, Harness is announcing the General Availability of Artifact Registry, a milestone that marks more than a new product release. It represents a deliberate shift in how artifact management should work in secure software delivery. For years, teams have accepted a strange reality: you build in one system, deploy in another, and manage artifacts somewhere else entirely. CI/CD pipelines run in one place, artifacts live in a third-party registry, and security scans happen downstream.

Most database problems get blamed on queries, schemas, or infrastructure, and rarely on SQL Server ODBC drivers. Fair enough, those components often break. But in many cases, the real culprit is the connection layer itself. Poor drivers can lead to security gaps, performance hits, cloud connection struggles, Unicode issues, or incompatibility across platforms and modern SQL Server versions.

Security vendors love the man-in-the-middle attack. It’s the boogeyman of every TLS marketing page. Some shadowy figure intercepting your traffic, reading your secrets, stealing your data. A man-in-the-middle attack is when an attacker positions themselves between two parties on a network to intercept the traffic flowing between them. In the context of TLS, that means an attacker who can present a valid certificate can read everything in plaintext and proxy it on to the real server.

The production environment has become a minefield of code nobody really understands. Here’s what’s happening: Development teams are using Claude Code, Cursor, and GitHub Copilot to ship features at 10x their previous velocity. Product managers are ecstatic. Business stakeholders are thrilled. And somewhere in a war room at 2:17 AM, an SRE is staring at a stack trace for code that was AI-generated three weeks ago, trying to figure out why the payment service just fell over.

According to CloudZero’s Cloud Economics Pulse, databases are often among the largest and most persistent cloud cost categories. Database costs are notoriously difficult to predict and control. Unlike stateless infrastructure that scales predictably with traffic, databases run continuously and expand behind the scenes, causing costs to rise even when usage appears stable. Because databases run continuously and expand behind the scenes, costs can rise even when usage appears stable.

In the world of enterprise software, the transition from traditional DevOps to modern AI-driven delivery is less like a flip of a switch and more like a high-stakes kitchen. As Devan Shah, Chief Architect at IBM, puts it: the ingredients have changed from food to code, but the need for a precise, governed process remains the same.