Operations | Monitoring | ITSM | DevOps | Cloud

November was another big month for Harness AI, with new capabilities that deepen our work with AWS, bring AI-native automation to the database, and keep our model stack on the cutting edge across the SDLC.

AI speeds delivery but expands risk. Teams need context, verification, behavior detection, and learning to stay secure by default. Software delivery has been accelerating for more than a decade, and the arrival of AI has pushed us into an entirely new velocity class. Code generation, configuration scaffolding, infrastructure suggestions, remediation hints, and deployment decisions now involve AI. It participates in every stage of the delivery pipeline. On the surface, this feels like progress.

Ask a SaaS team how they measure cloud efficiency, and you’ll hear familiar things. Total cloud spend. Average cost per customer. Maybe a breakdown of spend by service. All useful, but rather wobbly. Now ask, “What does it cost you to serve one more customer?” That’s when the room goes quiet. And that’s often where cloud economics gets really wobbly. Because that number, your marginal cost, is what actually determines your margins. Not your total cloud bill.

Some log sources bundle multiple events into a single record before shipping them. This is common with VPC flow logs, CloudWatch exports, and certain Windows endpoint collectors. While this batching approach is efficient for transport, it creates challenges when you need to filter, search, or correlate individual events. When a log record contains an array of 47 events, your analytics tool sees one entry instead of 47 distinct records.

Enjoy a smoother, faster mobile experience with Alloy Navigator and Alloy Self-Service apps!

Modern security operations are overflowing with data, and organizations rely heavily on Azure Sentinel alerts and Microsoft Sentinel alerts to maintain visibility across hybrid environments. From firewalls and endpoints to cloud workloads and identity systems, thousands of signals compete for attention every second. For most security teams, the challenge isn’t detection anymore – it’s action.