MX Technologies has selected Augtera Networks to power AI operations for its next-generation data center networks by leveraging Dell Enterprise SONiC switches.
MX Technologies is a financial technology company specializing in providing data-driven financial management solutions. In 2023, the company augmented its legacy network monitoring tools with the Augtera Network AI platform in its data center networks. This new solution enabled MX to enhance network monitoring with network AIOps, providing preventive and automated operations to optimize application performance while also maintaining traditional network monitoring capabilities for easier operational adoption.
Augtera’s real-time ML-based anomaly detection offers early detection and automated alerts for application TCP retransmits, data center fabric grey failures, data plane, environmental and control plane errors, and congestion. This equips MX to identify the top application flows impacted by TCP retransmits caused by data center fabric issues and remediate them accordingly.
“MX continues to innovate by adopting Augtera Network AI, and now SONiC, to provide best-in-class experiences. Augtera integrated with SONiC will further optimize application experiences by increasing operational agility and efficiency,” explained Brandon Murdoch, Director of Infrastructure at MX.
“MX has been at the forefront of adopting Augtera’s industry-leading multi-vendor real-time ML anomaly detection capabilities across network logs and metrics to optimize platform performance. In addition to these capabilities, Augtera’s integration with SONiC will provide MX with real-time latency and loss observability to take these benefits one step further,” said Rahul Aggarwal, Founder & CEO at Augtera.
- Founded by Rahul Aggarwal and Bhupesh Kothari, Augtera Networks is based in Palo Alto, California. The company specializes in AI-driven network solutions that enhance visibility, prevent network incidents, and significantly reduce resolution times. Augtera’s platform is designed to address the complexities of modern networks, providing proactive insights and automation to improve network performance and reliability
