The outcomes are in for the Construct for Higher Code Problem, highlighting two standout options that successfully mix automation or AI with sustainability. On this problem, we requested you, the Cisco DevNet neighborhood, to make use of automation and AI to deal with urgent environmental points, demonstrating the numerous position expertise can play in enhancing our ecological footprint. And we had been blown away by the neighborhood participation.
Congratulations to GreenOps Tracker and Inexperienced Monitoring! These standout entries not solely exemplify the ingenuity and sensible influence of integrating automation and AI with sustainability efforts but additionally reveal how focused options can considerably improve environmental sustainability. As we discover the modern applied sciences every undertaking employs to deal with particular environmental challenges, it’s clear that our developer neighborhood possesses super potential to drive significant change. To additional optimize these successful options, every workforce will obtain mentorship from Jason Davis, Distinguished Engineer at Cisco. This mentorship will concentrate on advancing AI integration inside their initiatives, reinforcing Cisco’s dedication to main the dialog on AI-driven sustainability.
GreenOps Tracker: Automating Sustainability in Server Operations
GreenOps Tracker innovates server administration by optimizing useful resource utilization, thereby minimizing power consumption and decreasing CO2 emissions. Developed to empower server directors with real-time information, GreenOps Tracker makes use of Efficiency Co-Pilot (PCP) and Ansible Occasion-Pushed applied sciences to observe Linux servers, routinely adjusting their configurations primarily based on real-time occasions. This technique not solely reduces operational prices but additionally helps environmental sustainability targets by making certain that servers function with optimum sources, avoiding pointless power use.
The core of GreenOps Tracker’s performance lies in its skill to dynamically reply to adjustments in server efficiency metrics reminiscent of CPU utilization, reminiscence load, and system temperature. By integrating PCP for monitoring and utilizing webhooks to set off Ansible playbooks, the system offers a proactive administration instrument that adjusts sources with out human intervention. This computerized adjustment is essential for sustaining effectivity in information facilities the place even minor enhancements can result in important reductions in energy consumption and carbon footprints. The long run prospects for GreenOps Tracker embody increasing its metric assist and integrating with Grafana to offer much more complete power consumption insights, promising additional advances in sustainable IT administration.
Discover GreenOps Tracker on Code Alternate >
Inexperienced Monitoring: Monitoring Sustainability in Actual-Time
Inexperienced Monitoring is a sustainable resolution engineered by a workforce at Cisco that makes use of an open-source expertise stack to observe the power and CO2-equivalent emissions of community and information heart gadgets. It targets a spread of kit together with IOS-XR and NX-OS gadgets, Meraki switches, UCS servers, ACI APIC nodes, and third-party PDUs from Eaton and Raritan. This instrument not solely tracks power consumption and carbon footprints but additionally correlates these metrics with site visitors, bandwidth, and prices, providing enterprises essential insights for optimizing sustainability.
The spine of Inexperienced Monitoring includes gRPC streaming telemetry, Telegraf information processing, InfluxDB for information storage, and Grafana for visualization. This setup facilitates real-time monitoring and historic evaluation, empowering customers with actionable information to reinforce their infrastructure’s power effectivity. The answer’s intensive use of open-source applied sciences lowers obstacles to entry and helps Cisco’s developer neighborhood in adapting and increasing the undertaking to different sustainability metrics or custom-made use-cases.
Discover Inexperienced Monitoring on code alternate >
As you draw inspiration from the Construct for Higher Code Problem winners, proceed your exploration of AI’s position in sustainability with Cisco’s instruments and sources.
- Go to the Cisco DevNet AI Useful resource Hub to entry studying labs, pattern code, and movies on predictive and generative AI. These sources are designed that will help you develop efficient, sustainable options utilizing AI expertise.
- Missed Developer Sustainability Week? No downside. You’ll be able to watch the recordings of our webinar and workshop to achieve insights into optimizing sources and enhancing system efficiencies for sustainability.
- Discover our weblog on AI programming languages to find which programming languages are finest fitted to varied AI duties.
- Keep engaged and develop your community. Be part of the DevNet Webex neighborhood, the place you may join with friends, share your initiatives, and discover new collaboration alternatives.
Thanks to everybody who participated on this inaugural DevNet code problem! We look ahead to future challenges.
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