RapDev,
a Datadog Premier partner, announced the latest extension of Arlo, its suite of AI Agents, for Datadog
environments - built to streamline observability workflows, reduce operational
toil, and accelerate incident resolution.
Launching late Q2 on the Datadog Marketplace, Arlo leverages
RapDev's deep engineering expertise to deliver proactive AI-driven solutions
that automate investigation and troubleshooting of incidents in real-time,
using several LLM techniques. Arlo empowers SREs and engineering teams to stay
focused on innovation, avoiding manual troubleshooting and infrastructure
noise.
By embedding prompt-chaining techniques directly into
Datadog environments, Arlo delivers real-time diagnostics, actionable
remediation, and autonomous response capabilities, making incident resolution
both faster and smarter.
Each Arlo Agent
targets a specific area of infrastructure or application health, offering
measurable outcomes and fast time-to-value:
- Arlo
for Linux
Flags disk space issues, identifies large or runaway log files, and
initiates cleanup actions before business services are impacted.
- Arlo
for Kubernetes
Surfaces saturation and deployment anomalies at the node level, with
built-in recommendations to reduce drift and prevent future failure.
- Arlo
for Windows
Identifies memory pressure and system constraints on Windows VMs
hosting .NET applications, pinpointing exactly which processes to address.
- Arlo
for Networking
Diagnoses spanning tree and switch-level issues by logging into
network devices and identifying misconfigurations, cutting network
troubleshooting time dramatically.
"Arlo takes the burden off engineers by running real
troubleshooting workflows across Linux, Windows, Kubernetes, and network
devices", said Jay Barker,
Director of Datadog Engineering at RapDev. "Whether it's root cause analysis or
live remediation, Arlo accelerates incident response and turns SRE hours into
minutes - all within your existing Datadog environment."
Whether investigating root causes, recommending fixes, or
running commands directly, Arlo acts as a digital teammate that never sleeps -
automating repetitive diagnostics so teams can resolve issues with confidence
and speed.
"Arlo is built for the next wave of ProdOps," said Tameem Hourani,
Principal and Founder at RapDev. "With agents that act directly within your
observability workflows, it's not just surfacing data - it's taking action.
That's where our industry is headed: AI agents that troubleshoot, resolve, and
never sleep, so your teams can."
Arlo for Datadog exemplifies RapDev's commitment to building
AI-native solutions that enhance core platform capabilities, improve engineer
productivity, and deliver operational efficiencies at scale.
Arlo's launch marks a significant milestone in RapDev's
AI strategy, with additional agent capabilities and customer-driven
enhancements already in development.
Learn about the complete suite of agents here.