JFrog Integrates with Datadog
May 22, 2024
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JFrog announced a new integration with Datadog, the observability and security platform for cloud applications, that gives developers visibility into logs for JFrog-managed instances of Artifactory in the cloud.

The JFrog SaaS Log Streamer integration with Datadog allows organizations to increase visibility and efficiency by enabling users to select and prioritize the most important logs, focusing on the items and actions that produce the greatest business impact.

"Enterprises cannot rapidly migrate their DevOps workloads to the cloud without a high degree of trust in the target environment, as software has become critical infrastructure for every company today,” said Gal Marder, EVP of Strategy, JFrog. “Providing visibility and easy consumption of app health, usage, and other platform metrics is an essential piece of building trust with a vendor. This is why an integration with Datadog gives DevOps teams using JFrog the best-of-both-worlds: maintenance-free, single-source-of-truth infrastructure coupled with out-of-the-box, complete visibility using their observability tool of choice.”

The JFrog SaaS Log Streamer integration with Datadog accelerates cloud migration by centralizing log data, making it readily available to developers to access from anywhere with pre-built Datadog dashboards. The new integration provides important visibility and insight into software usage trends including:

- JFrog Artifactory-Request Logs - Monitor Artifactory incoming requests to track the trend of all requests based on HTTP status codes and request methods. This data can provide useful insights such as which artifacts are most requested and by whom.

- Access Logs - Provide details on which entities are accessing or attempting to access JFrog instances, further helping with security efforts by identifying who, when and from where non-users are attempting to access your instance.

- Datadog Log Management – The solution unifies logs, metrics, and traces in a single view, giving joint customers rich context for analyzing log data. Whether for troubleshooting issues, optimizing performance, or investigating security threats, Flex Logs provide a cost-effective, scalable approach to centralized log management, with complete visibility across the software stack.

"Cloud migrations often introduce many complexities for developer troubleshooting. But the JFrog SaaS Log Streamer integration with Datadog simplifies onboarding and operations, making it easy to diagnose issues using contextual insights and by correlating logs with metrics," said Pranay Kamat, Director of Product Management, Datadog. "Integrating with Flex logs helps deliver the best developer experience to our joint customers as they develop and monitor their cloud-based or hybrid applications in a cost-effective way."

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