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.
Discover how Global Holdings implemented metrics, traces, logs, RUM & synthetics across their organization
RapDev’s migration from Splunk to Datadog ensured an on-spec and on-budget migration in a 6 month timeframe
RapDev’s Datadog implementation automated 81% of deployments, improved visibility, and reduced host duplication by 42%
Discover how to migrate to Datadog without the headaches
Learn how to achieve seamless SAP observability, eliminate data silos, and gain deeper insights