The results are in for the Build for Better Code Challenge, highlighting two standout solutions that effectively combine automation or AI with sustainability.
In this challenge, we asked you, the Cisco DevNet community, to use automation and AI to address pressing environmental issues, demonstrating the significant role technology can play in enhancing our ecological footprint.
We were blown away by the community participation.
As we explore the innovative technologies each project employs to address specific environmental challenges, it's clear that our developer community possesses tremendous potential to drive meaningful change.
To further optimize these winning solutions, each team will receive mentorship from Jason Davis, Distinguished Engineer at Cisco.
This mentorship will focus on advancing AI integration within their projects, reinforcing Cisco's commitment to leading the conversation on AI-driven sustainability.
GreenOps Tracker innovates server management by optimizing resource usage, thereby minimizing energy consumption and reducing CO2 emissions.
Developed to empower server administrators with real-time data, GreenOps Tracker utilizes Performance Co-Pilot and Ansible Event-Driven technologies to monitor Linux servers, automatically adjusting their configurations based on real-time events.
This system not only reduces operational costs but also supports environmental sustainability goals by ensuring that servers operate with optimal resources, avoiding unnecessary energy use.
The core of GreenOps Tracker's functionality lies in its ability to dynamically respond to changes in server performance metrics such as CPU usage, memory load, and system temperature.
By integrating PCP for monitoring and using webhooks to trigger Ansible playbooks, the system provides a proactive management tool that adjusts resources without human intervention.
The future prospects for GreenOps Tracker include expanding its metric support and integrating with Grafana to provide even more comprehensive energy consumption insights, promising further advances in sustainable IT management.
Green Monitoring is a sustainable solution engineered by a team at Cisco that uses an open-source technology stack to monitor the energy and CO2-equivalent emissions of network and data center devices.
This tool not only tracks energy consumption and carbon footprints but also correlates these metrics with traffic, bandwidth, and costs, offering enterprises crucial insights for optimizing sustainability.
The backbone of Green Monitoring comprises gRPC streaming telemetry, Telegraf data processing, InfluxDB for data storage, and Grafana for visualization.
This setup facilitates real-time monitoring and historical analysis, empowering users with actionable data to enhance their infrastructure's energy efficiency.
The solution's extensive use of open-source technologies lowers barriers to entry and supports Cisco's developer community in adapting and expanding the project to other sustainability metrics or customized use-cases.
As you draw inspiration from the Build for Better Code Challenge winners, continue your exploration of AI's role in sustainability with Cisco's tools and resources.
Visit the Cisco DevNet AI Resource Hub to access learning labs, sample code, and videos on predictive and generative AI. These resources are designed to help you develop effective, sustainable solutions using AI technology.
Join the DevNet Webex community, where you can connect with peers, share your projects, and find new collaboration opportunities.
This Cyber News was published on feedpress.me. Publication date: Wed, 15 May 2024 19:28:08 +0000