RapDev, a Premier Datadog Partner, has announced the latest evolution of Arlo, its AI-powered suite of agents designed to transform observability within Datadog environments. Scheduled to launch in late Q2 on the Datadog Marketplace, Arlo brings intelligent automation to incident detection, diagnosis, and resolution—dramatically reducing operational overhead and enhancing engineer productivity.
1. AI Agents Purpose-Built for Observability
- Arlo is designed to automate investigation and troubleshooting tasks using advanced LLM and prompt-chaining techniques.
- Built directly into the Datadog environment, these agents offer real-time diagnostics, actionable recommendations, and autonomous remediation.
- Focuses on removing manual toil, enabling Site Reliability Engineers (SREs) to concentrate on innovation.
2. Targeted Arlo Agents for Specific Infrastructure Needs
Each Arlo Agent is specialized, delivering fast time-to-value with measurable impact:
- Arlo for Linux
- Identifies disk usage anomalies, runaway log files, and initiates automated cleanup actions.
- Arlo for Kubernetes
- Detects node saturation, drift, and deployment anomalies with built-in preventive measures.
- Arlo for Windows
- Flags memory and system constraints in .NET environments, pinpointing exact processes to fix.
- Arlo for Networking
- Logs into network devices to diagnose misconfigurations, reducing root cause analysis time on switch-level and spanning tree issues.
3. Embedded Intelligence in Datadog Workflows
- Arlo integrates natively with Datadog, removing the need for external interfaces or context-switching.
- Supports real-time decision making, autonomous command execution, and system-level remediation.
4. Real-World Benefits for Engineering Teams
- Transforms hours of manual SRE work into minutes of automated resolution.
- Improves incident response times, reduces noise, and boosts platform reliability.
- Turns Arlo into a “digital teammate” capable of running 24/7 diagnostics.
5. Industry Vision: AI for Next-Gen ProdOps
- RapDev envisions Arlo as foundational for the next wave of Production Operations (ProdOps).
- According to Founder Tameem Hourani: “Arlo is more than alerting—it’s about acting. Our future is AI agents that troubleshoot and fix before engineers even get paged.”
Arlo by RapDev signifies a major leap forward in operational automation within observability platforms. With AI agents embedded directly into Datadog, engineering teams gain not only visibility but also actionable control, transforming how incidents are diagnosed and resolved. By automating repetitive diagnostics across infrastructure layers, Arlo represents the shift toward AI-native DevOps tooling—where operational resilience is not just monitored, but proactively maintained.
