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JFrog Integrates with Datadog

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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JFrog Integrates with Datadog

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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IT outages, caused by poor-quality software updates, are no longer rare incidents but rather frequent occurrences, directly impacting over half of US consumers. According to the 2024 Software Failure Sentiment Report from Harness, many now equate these failures to critical public health crises ...

In just a few months, Google will again head to Washington DC and meet with the government for a two-week remedy trial to cement the fate of what happens to Chrome and its search business in the face of ongoing antitrust court case(s). Or, Google may proactively decide to make changes, putting the power in its hands to outline a suitable remedy. Regardless of the outcome, one thing is sure: there will be far more implications for AI than just a shift in Google's Search business ... 

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Service disruptions remain a critical concern for IT and business executives, with 88% of respondents saying they believe another major incident will occur in the next 12 months, according to a study from PagerDuty ...

IT infrastructure (on-premises, cloud, or hybrid) is becoming larger and more complex. IT management tools need data to drive better decision making and more process automation to complement manual intervention by IT staff. That is why smart organizations invest in the systems and strategies needed to make their IT infrastructure more resilient in the event of disruption, and why many are turning to application performance monitoring (APM) in conjunction with high availability (HA) clusters ...

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