Datadog

Datadog Expertise

RapDev is a Datadog Premier Partner focused on accelerating our customers’ time to value.
600
Implementations
110
US-Based Engineers
68
Datadog Certifications

Security & Managed SOC

Quickly and seamlessly implement Cloud SIEM, ASM, SCA, and Cloud Security Posture Management to power a modern DevSecOps strategy

Incident Management

Transform data into high-confidence, actionable incidents using AI-driven detection, clear ownership models, and automated remediation

Marketplace Integrations

RapDev is proud to offer more Datadog Marketplace integrations than any other partner

ServiceNow

ServiceNow Expertise

RapDev is a ServiceNow Elite partner focused on helping you drive business outcomes with the ITx suite.
4.7
CSAT Score
136
Product Line Certs.
67k
AI Agents Discovered

Agentic AI & AI Governance

Deploy and scale production-ready agentic AI to automate workflows and accelerate ServiceNow outcomes

Enterprise Architecture

Connect your technology landscape to business strategy to optimize investments, reduce risk, and accelerate modernization

ServiceNow Store

Leverage RapDev’s certified apps and AI Agents to expedite operations on the Now Platform
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Company

About RapDev

RapDev is powered by a team of experienced, U.S. based engineers focused on redefining service operations through AI, automation, and modern observability.

Join the RapDev team

Our no-frills approach to collaborating is what allows us to deliver the best. Our team is growing and we’re looking for the best in the game.

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Latest news and announcements from RapDev

Events & Webinars

From hands-on workshops to industry-leading conferences

Resources

Observing LLMs in Production with Datadog

April 1, 2026

Datadog Webinars

Unlocking reliable LLM applications starts with strong observability in production.In “Observing LLMs in Production: Establishing the Foundation for AI Reliability,” experts from Datadog and RapDev break down what it takes to monitor, evaluate, and optimize LLMs in real-world environments.
Learn how to:
• Monitor latency, errors, and cost across LLM workloads
• Gain visibility into prompt behavior and model performance
• Detect hallucinations and enforce guardrails
• Prevent prompt injection and unsafe outputs
• Run experiments to compare prompts and models
Watch now to see how the right observability foundation improves reliability, performance, and control across your AI systems.