

AI Agents that Superpower Troubleshooting
AI Agents that Superpower Troubleshooting
Join us to learn how RapDev is combining Automation Workflows with large language models (LLMs) to streamline incident troubleshooting across all types of tech stacks.
Whether it's Kubernetes or a network switch, we're building agents that save engineers time by reducing manual effort to resolve issues. We'll discuss how we’ve leveraged prompt-chaining and system tag data to build context aware AI Agents.

Accelerating Log Migration to Datadog
AI Agents that Superpower Troubleshooting
Facing the challenge of moving away from legacy log platforms can be daunting, especially with years of accumulated monitors and dashboards.
In this session, RapDev will share methods for automating and parallelizing exports to reduce manual effort, and streamline the transition process—helping you unlock Datadog’s observability features without disrupting your day-to-day operations.
If you're looking to modernize your log management and take advantage of Datadog’s capabilities this session will provide actionable guidance and practical workflows to get you there.


How RapDev enabled a global airline to implement observability across environments, resulting in 3-day MTTR cut to 3 hours, $1.8M saved, and 2x adoption
How Beyond Finance scaled security and cut through the noise
Cut spend, curb sprawl, and standardize observability fast with Managed Datadog
How Toolstation consolidated 3 monitoring tools into Datadog to cut $251K in costs, replicate Noibu’s functionality, and enhance visibility into customer impact

What's changing in observability and why it matters
Streamline alerts, escalations, and incident response with Datadog On-Call
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Learn about RapDev’s Managed Datadog and how it can help you get the most out of your observability investment
Learn how RapDev's Arlo agents seamlessly integrate into your existing Datadog workflows using AI-driven automation

Learn about RapDev’s best practices for security migrations to Datadog