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 handle urgent environmental points, demonstrating the numerous function know-how can play in enhancing our ecological footprint. And we have 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 in addition display how focused options can considerably improve environmental sustainability. As we discover the modern applied sciences every challenge employs to handle particular environmental challenges, it’s clear that our developer neighborhood possesses super potential to drive significant change. To additional optimize these successful options, every group will obtain mentorship from Jason Davis, Distinguished Engineer at Cisco. This mentorship will give attention to 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 lowering CO2 emissions. Developed to empower server directors with real-time knowledge, GreenOps Tracker makes use of Efficiency Co-Pilot (PCP) and Ansible Occasion-Pushed applied sciences to observe Linux servers, robotically adjusting their configurations based mostly on real-time occasions. This method not solely reduces operational prices but in addition helps environmental sustainability objectives by guaranteeing that servers function with optimum sources, avoiding pointless power use.
The core of GreenOps Tracker’s performance lies in its means to dynamically reply to adjustments in server efficiency metrics equivalent to 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 device that adjusts sources with out human intervention. This computerized adjustment is essential for sustaining effectivity in knowledge facilities the place even minor enhancements can result in vital reductions in energy consumption and carbon footprints. The long run prospects for GreenOps Tracker embrace 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 answer engineered by a group at Cisco that makes use of an open-source know-how stack to observe the power and CO2-equivalent emissions of community and knowledge middle gadgets. It targets a variety of apparatus together with IOS-XR and NX-OS gadgets, Meraki switches, UCS servers, ACI APIC nodes, and third-party PDUs from Eaton and Raritan. This device not solely tracks power consumption and carbon footprints but in addition correlates these metrics with site visitors, bandwidth, and prices, providing enterprises essential insights for optimizing sustainability.
The spine of Inexperienced Monitoring contains gRPC streaming telemetry, Telegraf knowledge processing, InfluxDB for knowledge storage, and Grafana for visualization. This setup facilitates real-time monitoring and historic evaluation, empowering customers with actionable knowledge to reinforce their infrastructure’s power effectivity. The answer’s intensive use of open-source applied sciences lowers boundaries to entry and helps Cisco’s developer neighborhood in adapting and increasing the challenge 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 function 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 can assist you develop efficient, sustainable options utilizing AI know-how.
- Missed Developer Sustainability Week? No drawback. You may watch the recordings of our webinar and workshop to realize 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 increase your community. Be a part of the DevNet Webex neighborhood, the place you’ll be able to join with friends, share your initiatives, and discover new collaboration alternatives.
Thanks to everybody who participated on this inaugural DevNet code problem! We stay up for future challenges.
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