Operations | Monitoring | ITSM | DevOps | Cloud

The Five Pillars of AI Agent Accountability: A Diagnostic Framework for Engineering Leaders

You’re in a board meeting. The CISO is presenting on AI risk. The CFO asks a simple question: “When that finance agent we deployed last quarter accessed a customer payment record, can we tell who authorized it, what policy permitted it, and produce the full audit trail?” The CISO looks at the head of the platform. The head of the platform looks at security. Nobody answers. If you can picture that meeting happening at your company, you’re not alone.

Why Traditional Observability Breaks Down in Hybrid Cloud Environments

Hybrid cloud has reshaped the way enterprises build, run, and troubleshoot digital services. Applications now stretch across on-premises infrastructure, cloud platforms, regional services, interconnects, and distributed dependencies that change constantly. Operational complexity has expanded with that footprint, yet many observability practices still reflect assumptions from an earlier era of simpler architectures and clearer boundaries. That gap shows up fast during an incident.

Monitor your Render services with AppSignal

AppSignal now supports Render's Metrics Stream. Configure it once in your Render workspace and Render forwards OpenTelemetry metrics to the AppSignal Collector. From there, the metrics show up in your AppSignal app as host metrics and automated dashboards. You only have to set up the stream once per workspace.

How to Deploy Serv-U Gateway to Achieve Secure File Transfer in DMZ

Serv-U Gateway acts as a reverse proxy for secure file transfer for DMZ networks. Serv-U Gateway terminates all incoming connections to the DMZ and never stores any data at rest in the DMZ. Serv-U Gateway is supported on both Serv-U FTP Server and Managed File Transfer (MFT) Server. Comply with PCI DSS by using Serv-U Gateway.

Decoding design: How design and engineering thrive together in open source

Open source thrives on engineering-driven processes. Fast feedback loops, terminal tools, Git workflows: they’re the lifeblood of how we build software in the open. But for software to truly excel, we need to create user experiences that empower people to use them. I wanted to bring this conversation into the spotlight as part of Canonical’s Open Design initiatives. What better way than at FOSS Backstage 2026 Berlin?

A Runnable Reference Architecture for Industrial IoT on InfluxDB 3

Industrial teams keep telling us the same thing: the data is there, but the stack to act on it isn’t. PLCs, CNCs, SCADA systems, vibration sensors, and quality stations all generate high-frequency telemetry that gets stranded in proprietary historians or stitched together with point integrations nobody wants to own. By the time anyone looks at it, the moment to act has passed.

AI Won't Replace You. Someone Using It Will.

AI isn’t about replacing engineers. It’s about leverage. The teams that win will be the ones that: Triage incidents faster Correlate signals automatically Reduce manual investigation Automate repetitive operational work In observability, that means asking: AI won’t eliminate expertise, it amplifies it. The real risk isn’t AI taking your job. It’s competitors using AI to operate at a speed and efficiency you can’t match.

Teamwork Collection: Built for the Next Era of Teamwork

Your team's best ideas shouldn't get lost between the doc, the ticket, and the meeting recording — but that's exactly what happens when AI lives outside your workflow. Teamwork Collection by Atlassian puts AI agents and your team on the same page — literally. Ideas flow to execution, agents pull context from your actual projects, and the line between "human work" and "AI work" starts to disappear.