Category: AWS Cloud Financial Management

Coverage and utilization metrics can be misleading and do not always tell the full story when it comes to managing commitments and measuring their impact. Effective Savings Rate (ESR) is an objective FinOps metric that measures your true ROI. In this blog post, we will discuss challenges with coverage and utilization, why ESR is important, benchmarking insights, and automation with ProsperOps.

nOps Compute Copilot extends the capabilities of the open-source Karpenter Kubernetes cluster autoscaler, adding awareness of your AWS compute commitments like Reserved Instances and Savings Plans. It also analyzes Amazon EC2 Spot pricing data and termination risk to intelligently select the most cost-effective and stable Spot Instances for workloads. nOps automatically manages your Karpenter configurations, updating NodePools based on its cost optimization analysis and recommendations.

With increasing cloud innovation, distributed teams need visibility into their deployed cloud resources, dependencies, and budgets when architecting new applications or reconfiguring existing solutions. Cloudcraft by Datadog helps companies achieve this cross-team alignment and enables teams to visualize and document architectures, analyze costs, run compliance audits through shareable diagrams, and automate diagram updates as infrastructure evolves.

In the dynamic digital landscape, enterprises are embracing cloud computing for its scalability and high availability. As cloud migration becomes a strategic priority, efficient cloud management is crucial. Tech Mahindra’s iCOPS (Intelligent Cloud Operations and Subscription Management Services) is a comprehensive platform designed to streamline cloud operations, enhance security, and optimize costs on AWS. iCOPS automates tasks like provisioning and deployment to help maximize their AWS investments.

The Synopsys.ai electronic design automation (EDA) suite on AWS harnesses AI to optimize chip design. A key component is Synopsys DSO.ai, using reinforcement learning to enhance power, performance, and area. Benefits include faster optimization, better engineer productivity, design reuse, and faster process node migration. Deploying on AWS ParallelCluster provides auto-scaling, elasticity, and fast setup for massive EDA workloads. Testing showed 20% lower power, timing closure improvements, and significant cost savings.

Managing cloud costs is complex without enterprise-wide visibility, and FinOps provides financial accountability to maximize investments. Kyndryl’s approach to FinOps on AWS emphasizes transparent visibility for cultural transformation through continuous optimization, cost attribution, savings recommendations, anomaly detection, and role-based access across hybrid clouds. Customers can expect up to 30% savings through Kyndryl’s cost optimization expertise.

AWS Backup simplifies policy-based data protection at scale, and observability offers insights into the backup process for monitoring, issue detection, troubleshooting, and optimization. This ensures backup dependability, efficiency, and security. CloudQuery enables managing and visualizing AWS Backup across accounts, including backup health, configuration, and protected resources to facilitate building a robust compliance posture.

AWS provides discounted pricing through Reserved Instances and Savings Plans in return for usage commitments. Apptio Cloudability helps organizations maximize these commitments by analyzing AWS cost data to identify savings opportunities. Cloudability also offers automation to optimize commitments continuously, achieving higher savings than manual management allows. This frees up financial operations resources to focus on other cloud cost optimization initiatives.

Kubecost provides granular visibility into Kubernetes cluster costs on AWS, enabling easy comparison with AWS Cost Explorer. This post guides users through validating Kubecost cost data against AWS billing, troubleshooting discrepancies, and ensuring complete resource discovery. It covers aggregating costs in Kubecost dashboards, filtering to compare specific assets, reconciling adjusted pricing, and using CSV exports for programmatic validation.

A global technology firm migrated its massive on-premises Apache Hadoop data center to Amazon EMR and achieved major cost savings and capabilities. By deploying Pepperdata’s optimization software, which works in real-time to maximize resource utilization, the firm achieved nearly 25% additional cost reduction on top of its Amazon EMR savings, without any code changes or manual tuning. Learn how Pepperdata Capacity Optimizer rapidly identifies existing nodes where more jobs could be completed.