Humans Not Robots - HNR Deliver
Category Artificial intelligence AI - Machine learning ML
HNR Revolutionizes Compute Cost Efficiency and Carbon Footprint Reduction with Causal ML Automation
At HNR we are driven by a mission to enhance efficiency and sustainability in technology operations. Our latest innovation, HNR Deliver, leverages cutting-edge Causal Machine Learning (Causal ML) to optimise AWS Lambda configurations, leading to significant cost reductions and a lowered carbon footprint, without compromising on performance. We achieved an impressive 50% cost reduction in our lab tests, and we are confident that our clients can realise savings of 20-30% on their Lambda costs. This solution underscores our commitment to sustainable technology solutions and delivers tangible benefits for our clients, making us a strong candidate for this award.
HNR is at the forefront of transforming how businesses interact with cloud technologies through our flagship platform, HNR to ZERO. Our first-in-market solution has been designed to streamline operations, reduce costs, and eliminate waste, fostering a new era of efficiency. HNR to ZERO employs advanced analytics and automation to ensure that every resource is maximised while simultaneously reducing environmental impact. By integrating seamlessly with existing workflows, the platform empowers businesses to achieve their sustainability goals and enhance overall productivity.
We have achieved a breakthrough with our latest innovation, HNR Deliver. This application, a key component of HNR to ZERO, provides real-time infrastructure optimisation and actionable insights based on regulatory needs and industry benchmarks. HNR Deliver harnesses Causal Machine Learning (Causal ML), to optimise AWS Lambda functions, significantly reducing operational costs and lowering carbon footprints.
Innovation that Brings Real Benefits
AWS Lambda functions offer flexible, serverless compute services, but their costs can escalate if not optimised. Our partnership with tech pioneer Causa enables us to integrate their Causal ML technology into HNR Deliver, optimising decisions on Lambda memory allocation. Unlike traditional machine learning, Causal ML understands the underlying mechanisms influencing outcomes, thus delivering superior optimisation results.
Detailed Testing
We conducted a series of highly automated tests to understand and optimise the use of AWS Lambda across our own operations. Our testing framework is meticulously designed, featuring an automated array of evaluations. We feed data into Causa, which then generates a confidence rating for its responses. By inputting data on a larger, synthetic scale, we significantly improve Causa's capability to confirm the accuracy of its answers with greater assurance.
The testing process included:
- Deploying Lambda functions with various memory sizes.
- Sending diverse workloads to these functions and analysing their performance.
- Utilising causal ML models to recommend the optimal memory size for each function.
- Implementing the recommended memory sizes and re-evaluating performance.
- Comparing performance metrics before and after applying the recommendations.
These tests validated significant cost reductions and performance improvements, demonstrating the technology's effectiveness.
Key Results
Our findings have been remarkable, demonstrating a significant reduction in Lambda costs. In our controlled lab environment, we achieved an impressive 50% cost reduction, and we are confident that our clients can realise savings of 20-30% on their Lambda costs.
- Cost Optimization: By accurately modelling the relationship between memory allocation, costs and how a company’s workflows operate, HNR Deliver identifies the most cost-effective configuration for our clients' digital operations.
- Enhanced Performance: Improved efficiency and throughput without compromising performance through optimised memory allocation.
- Sustainability: HNR Deliver helps businesses reduce their carbon footprint by minimising resource consumption and aligning with environmentally friendly practices.
- Industry Impact: Integration with our customer’s AWS cost-and-usage reports, providing unprecedented insights into digital operations' financial and environmental metrics.
HNR Deliver is ready for deployment and offers clients several implementation options: manually applying recommendations, using our Node.js client within HNR to ZERO, or setting up an Adaptive Tuning system for monthly retraining and updates. As part of our roadmap, we aim to expand our Causal ML optimisation modules to include EC2 and ECS, further enhancing our clients' operational efficiency and sustainability.
HNR Deliver exemplifies our commitment to sustainable and innovative technology solutions. By leveraging machine learning to optimize AWS Lambda functions, we empower businesses to reduce both their environmental impact and costs.
More information available here: https:/www.humansnotrobots.com/insights/slash-your-aws-compute-costs
