

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.

RapDev's SOC experts monitor your Datadog Cloud SIEM, ASM, SCA, and Cloud Security Management
Optimizing performance, reducing costs, and strengthening governance through proactive Datadog platform management
Seamlessly migrate from Splunk, New Relic, and more to Datadog with expert tips for a faster, low-risk transition

How a global airline implements observability across environments, resulting in 3-day MTTR cut to 3 hours
How Beyond Finance enhanced security operations by using Datadog to filter noise and improve detection
Improve observability by using Managed Datadog to reduce cost, streamline operations, and improve reliability
Learn how Toolstation consolidated 3 monitoring tools into Datadog to cut $251K in costs

Explore key Datadog trends around AI, cost optimization, and security that are transforming observability
Learn how you can streamline alerts, escalations, and incident response with Datadog On-Call