Datadog introduces Oracle Cloud Infrastructure monitoring tool

Datadog has announced the availability of Oracle Cloud Infrastructure Monitoring (OCI), which enables Oracle customers to monitor workloads across their infrastructure, applications and services.

The newly launched Datadog Monitoring for OCI aims to assist Oracle customers in migrating from on-premises to cloud environments, implementing multi-cloud strategies, monitoring AI/ML inference workloads, and optimising Oracle database performance. These capabilities help customers gain comprehensive visibility, ensuring efficient cloud migration and management of their hybrid environments.

With the integration, Datadog customers can now collect and analyse metrics from their OCI stack by leveraging integrations for over 20 major OCI services and more than 750 other technologies. This functionality allows customers to visualise the performance of OCI cloud services, on-premises servers, VMs, databases, containers and apps in near-real time through customizable, drag-and-drop, and out-of-the-box dashboards and monitors.

The platform also provides tools to monitor AI/ML inference workloads by alerting teams about the usage and performance of GPUs. It supports investigations into root causes and the monitoring of operational performance while evaluating the quality, privacy, and safety of LLM (Large Language Model) applications. Additionally, teams gain code-level visibility into application performance through real-time service maps, AI-powered synthetic monitors, and alerts on latency, exceptions, code-level errors, and log issues.

Yrieix Garnier, Vice President of Product at Datadog, stated, "With today's announcement, Datadog enables Oracle customers to unify monitoring of OCI, on-premises environments, and other clouds in a single pane of glass for all teams. This helps teams migrate to the cloud and execute multi-cloud strategies with confidence, knowing that they can monitor services side-by-side, visualise performance data during all stages of a migration, and immediately identify service dependencies."

Datadog's move to introduce OCI monitoring follows previous releases of similar capabilities for AWS, Azure, and Google Cloud customers. The company's approach aims to provide a unified monitoring solution for organisations using various cloud service providers, supporting seamless integration and transition between different environments.