Operations | Monitoring | ITSM | DevOps | Cloud

Leaders in every industry are investing heavily in AI. Shocking, I know. Operations teams are modernizing infrastructure and automating workflows while boards are asking for faster returns. And yet, for all the investment, one question still lingers: where’s the value? The truth is that most enterprises have a translation problem, not necessarily ‘just’ a visibility problem. Executives see AI as a growth strategy, but IT sees it as operational complexity.

Many organizations struggle to track how their cloud infrastructure changes over time. Modern environments span tens of thousands of resources across hundreds of accounts and multiple clouds. Application teams add new services and regions at a rapid pace, increasing the number and variety of resources that need to be managed. These shifts can cause infrastructure configurations to drift from a well-architected state, increasing the risk of service reliability issues and unexpected cloud spend.

Observability in DevOps: Diagnose system failures faster. Learn how true observability differs from traditional monitoring. End context-switching, reduce MTTR, and resolve unforeseen issues quickly.

Simplify Kubernetes Deployment. Learn the difficult 6-step manual process for deploying Docker containers to Kubernetes, the friction of YAML and kubectl, and how platform tools like Qovery automate the entire workflow.

Since I’m starting development with the dbRosetta database, and since I’m way more comfortable with databases than with code, I’m going to continue within the database sphere for a bit as we build out dbRosetta. My next step is to work with the AI to get a pipeline in place to take our database code and deploy it to Azure Flex Server.

Today, we are introducing some new on-call features: Add Gaps to on-call, Scheduled Layers, Handoff Days, and more. Flexibility in on-call schedules has been the single focus point in this release. These features give you much finer control over when people are on-call, how handoffs work, and what your schedule looks like around holidays and time off.

This article examines how enterprises can eliminate configuration drift, strengthen security, and streamline Terraform and OpenTofu workflows through centralized variable management and secure provider distribution. It highlights how Harness IaCM’s Variable Sets and Provider Registry bring consistency, governance, and automation to IaC at scale while transforming how platform teams manage configuration, secrets, and custom integrations across every environment.