Asserting the Construct for Higher Code Problem Winners

The outcomes are in for the Build for Better Code Challenge, 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 have been blown away by the neighborhood participation.

Congratulations to GreenOps Tracker and Green Monitoring! These standout entries not solely exemplify the ingenuity and sensible impression of integrating automation and AI with sustainability efforts but in addition exhibit how focused options can considerably improve environmental sustainability. As we discover the progressive applied sciences every mission employs to deal with particular environmental challenges, it’s clear that our developer neighborhood possesses large potential to drive significant change. To additional optimize these profitable options, every group will obtain mentorship from Jason Davis, Distinguished Engineer at Cisco. This mentorship will deal with 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 information, GreenOps Tracker makes use of Efficiency Co-Pilot (PCP) and Ansible Occasion-Pushed applied sciences to watch 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 making certain that servers function with optimum sources, avoiding pointless power use.

The core of GreenOps Tracker’s performance lies in its capability 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 software 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 longer term prospects for GreenOps Tracker embrace increasing its metric help and integrating with Grafana to supply much more complete power consumption insights, promising additional advances in sustainable IT administration.

Explore GreenOps Tracker on Code Exchange >

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 expertise stack to watch the power and CO2-equivalent emissions of community and information heart gadgets. It targets a spread 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 software not solely tracks power consumption and carbon footprints but in addition correlates these metrics with 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 limitations to entry and helps Cisco’s developer neighborhood in adapting and increasing the mission to different sustainability metrics or custom-made use-cases.

Explore Green Monitoring on code exchange >

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.

  • Visit the Cisco DevNet AI 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 expertise.
  • Missed Developer Sustainability Week? No downside. You may watch the recordings of our webinar and workshop to realize insights into optimizing sources and enhancing system efficiencies for sustainability.
  • Explore our blog on AI programming languages to find which programming languages are finest fitted to numerous AI duties.
  • Keep engaged and increase your community. Join the DevNet Webex community, 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 sit up for future challenges.


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