RapDev, a Datadog Premier accomplice, at present introduced the newest extension of Arlo, its suite of AI Brokers, for Datadog environments – constructed to streamline observability workflows, cut back operational toil, and speed up incident decision.
Launching late Q2 on the Datadog Market, Arlo leverages RapDev’s deep engineering experience to ship proactive AI-driven options that automate investigation and troubleshooting of incidents in real-time, utilizing a number of LLM methods. Arlo empowers SREs and engineering groups to remain centered on innovation, avoiding handbook troubleshooting and infrastructure noise.
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By embedding prompt-chaining methods immediately into Datadog environments, Arlo delivers real-time diagnostics, actionable remediation, and autonomous response capabilities, making incident decision each quicker and smarter.
Every Arlo Agent targets a particular space of infrastructure or software well being, providing measurable outcomes and quick time-to-value:
- Arlo for Linux
Flags disk area points, identifies massive or runaway log recordsdata, and initiates cleanup actions earlier than enterprise companies are impacted. - Arlo for Kubernetes
Surfaces saturation and deployment anomalies on the node degree, with built-in suggestions to scale back drift and stop future failure. - Arlo for Home windows
Identifies reminiscence strain and system constraints on Home windows VMs internet hosting .NET purposes, pinpointing precisely which processes to handle. - Arlo for Networking
Diagnoses spanning tree and switch-level points by logging into community units and figuring out misconfigurations, chopping community troubleshooting time dramatically.
“Arlo takes the burden off engineers by working actual troubleshooting workflows throughout Linux, Home windows, Kubernetes, and community units,” stated Jay Barker, Director of Datadog Engineering at RapDev. “Whether or not it’s root trigger evaluation or dwell remediation, Arlo accelerates incident response and turns SRE hours into minutes – all inside your present Datadog surroundings.”
Whether or not investigating root causes, recommending fixes, or working instructions immediately, Arlo acts as a digital teammate that by no means sleeps – automating repetitive diagnostics so groups can resolve points with confidence and pace.
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“Arlo is constructed for the subsequent wave of ProdOps,” stated Tameem Hourani, Principal and Founder at RapDev. “With brokers that act immediately inside your observability workflows, it’s not simply surfacing information – it’s taking motion. That’s the place our trade is headed: AI brokers that troubleshoot, resolve, and by no means sleep, so your groups can.”
Arlo for Datadog exemplifies RapDev’s dedication to constructing AI-native options that improve core platform capabilities, enhance engineer productiveness, and ship operational efficiencies at scale.
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