Datadog’s New Features for Google Cloud: Enhanced BigQuery Monitoring and More
Datadog, a leading monitoring and security platform for cloud applications, recently announced several new features at Google Cloud Next that aim to help joint customers like Forbes and Delta Dental of New Jersey and Connecticut drive more efficiency for their Google Cloud environments. One of the most notable announcements was the expansion of Datadog’s BigQuery monitoring capabilities, now in preview.
Expanded BigQuery Monitoring
With Datadog’s expanded BigQuery monitoring, teams can now gain deeper insights into their usage of the popular data analytics service. By monitoring BigQuery usage by user and project, teams can identify those incurring the most spend and optimize accordingly. Additionally, by pinpointing long-running queries in those segments, teams can optimize their queries and improve overall performance.
Six More Recently Announced Features
Beyond expanded BigQuery monitoring, Datadog also announced six other features designed to help teams better manage and secure their Google Cloud environments:
- Google Cloud Run Monitoring: Datadog now supports monitoring of Google Cloud Run containers, allowing teams to gain visibility into the performance and health of their serverless applications.
- Google Cloud SQL Monitoring: Datadog’s new integration with Google Cloud SQL provides teams with real-time monitoring of their MySQL and PostgreSQL databases, helping them to quickly identify and resolve performance issues.
- Google Cloud Pub/Sub Monitoring: Datadog’s new integration with Google Cloud Pub/Sub enables teams to monitor and troubleshoot their message streaming service, ensuring the reliable delivery of messages.
- Google Cloud Storage Monitoring: Datadog’s new integration with Google Cloud Storage provides teams with real-time visibility into their object storage service, helping them to monitor and optimize their usage.
- Container Security: Datadog’s new container security features help teams to secure their containers by scanning images for vulnerabilities and monitoring runtime security, ensuring that their applications are protected against threats.
- Log Analysis: Datadog’s new log analysis capabilities enable teams to search, filter, and analyze logs from multiple sources, helping them to quickly identify and resolve issues.
Impact on Individuals
For individuals working in IT operations or cloud engineering roles, these new features from Datadog can help to streamline their workflows and improve their ability to manage and secure their Google Cloud environments. With real-time monitoring and analytics, teams can quickly identify and resolve issues, optimize performance, and ensure the security of their applications and data.
Impact on the World
Beyond individual teams and organizations, these new features from Datadog and Google Cloud have the potential to transform the way that businesses approach data analytics and cloud management. By providing real-time visibility and insights into their Google Cloud environments, teams can make data-driven decisions, optimize their usage of cloud resources, and ensure the security and reliability of their applications and data.
Conclusion
Datadog’s latest product launches, including expanded BigQuery monitoring and six other new features, demonstrate the company’s commitment to helping businesses drive more efficiency and value from their Google Cloud environments. With real-time monitoring, analytics, and security features, teams can optimize performance, ensure the security of their applications and data, and make data-driven decisions that can help to drive business growth and innovation.
For individuals working in IT operations or cloud engineering roles, these new features can help to streamline their workflows and improve their ability to manage and secure their Google Cloud environments. And for the world at large, these new features have the potential to transform the way that businesses approach data analytics and cloud management, enabling them to make data-driven decisions, optimize their usage of cloud resources, and ensure the security and reliability of their applications and data.
