Aqua integrates with Datadog to give DevOps teams real-time security metrics and events
Seattle, WA December 11, 2018 KubeCon/CloudNativeCon Aqua Security, the leading platform provider for securing container-based and cloud native applications, today announced
the integration of its platform with Datadog’s cloud monitoring and analytics platform. With this integration, Aqua provides real-time visibility into the security posture of cloud native applications to Datadog users, including information on vulnerable images, untrusted running containers, and security anomalies found by Aqua in the runtime environment.
For DevOps teams that continuously monitor applications for operational parameters such as performance, bug tracking, and errors, security events are often a blind spot that is handled
elsewhere although they may directly affect application uptime and resiliency. The integration of Aqua’s granular security information into Datadog’s comprehensive monitoring makes it possible to identify issues quickly and analyze their impact on application availability.
As organizations shift to more dynamic infrastructure through cloud and container technologies, communication between application and security teams is more important than ever,” said Ilan Rabinovitch, VP Product and Community at Datadog. “By combining Datadog’s deep insights into containerized application performance with Aqua Security’s enforcement of
security best practices, we are helping organizations bridge the gap between these traditionally siloed teams.
The integration between Datadog and Aqua CSP features pre-built Datadog dashboards that display:
Container images currently in Aqua’s scan queue
Known vulnerabilities and security issues found in existing images
Containers running from unauthorized images
Aqua runtime policy violations and audit events
Additionally, Datadog users can use the data provided in the Aqua dashboards to set up theirown alerts, aggregate data streams from different applications, and customize how data is
“We are excited to be partnering with Datadog to deliver a more complete security view to DevOps teams,” said Amir Jerbi, CTO and co-founder of Aqua Security. “In the cloud native era, ensuring security can no longer the exclusive burden of security teams, and instead should be part of the overall operational soundness of applications throughout their lifecycle. Our integration with Datadog creates a valuable shortcut that allows security issues to be detected early and fixed quickly, preventing escalated security incidents in production.”
About Aqua Security
Aqua Security enables enterprises to secure their container and cloud-native applications from development to production, accelerating application deployment and bridging the gap between DevOps and IT security. Aqua’s Container Security Platform provides full visibility into container activity, allowing organizations to detect and prevent suspicious activity and attacks in real
time. Integrated with container lifecycle and orchestration tools, the Aqua platform provides transparent, automated security while helping to enforce policy and simplify regulatory
compliance. Aqua was founded in 2015 and is backed by Lightspeed Venture Partners, Microsoft Ventures, TLV Partners, and IT security leaders, and is based in Israel and Boston, MA.
For more information, visit www.aquasec.com or follow us on twitter.com/AquaSecTeam
Datadog is a monitoring service for hybrid cloud applications, assisting organizations in improving agility, increasing efficiency, and providing end-to-end visibility across the application and organization. These capabilities are provided on a SaaS-based data analytics platform that enables Dev, Ops and other teams to accelerate go-to-market efforts, ensure application uptime, and successfully complete digital transformation initiatives. Since launching in 2010, Datadog has been adopted by more than 9,000 enterprises including companies like Activision,
AT&T, Deloitte, Peloton, Samsung, Seamless, The Washington Post, T-Mobile, Turner Broadcasting, and Whole Foods.
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