AWS Compute Optimizer Description
AWS Compute Optimizer offers actionable insights to enhance the performance and cost-efficiency of your AWS resources. It provides customized recommendations for rightsizing, resource cleanup, and resolving performance issues. The service helps users optimize infrastructure and external metrics, while also streamlining the transition to AWS Graviton CPUs. Compute Optimizer offers valuable guidance for reducing costs, improving resource utilization, and achieving savings through idle resource identification and licensing optimizations.
AWS Compute Optimizer Alternatives
Gain full visibility and control over your IT assets, software licenses, usage, and spend with Setyl.
Setyl is a cloud-based IT asset and license management (ITAM) platform that connects to your existing systems with 100+ out-of-the-box integrations.
Use Setyl to manage all your hardware assets, software applications, SaaS subscriptions, licenses, vendors, admins, users, and spend in one place — helping you:
1. Manage both hardware and software assets in one place.
2. Automate and scale daily IT operations, including inventory management and employee onboarding and offboarding processes.
3. Identify and cut wasted IT spend.
4. Prepare for your security audit and stay compliant, including with SOC 2 and ISO 27001.
With its intuitive interface and low learning curve, the Setyl platform offers a user-friendly experience and facilitates collaboration across your organization.
Features include:
• IT asset and license inventory
• Asset lifecycle management
• SaaS subscription, software application, and license management
• Software renewal tracking
• License rightsizing
• Employee onboarding and offboarding workflows
• ISO 27001 and SOC 2 compliance
• Vendor management
• IT spend management and reporting
• 100+ native integrations (Microsoft, Google, MDM, RMM, IAM, HR, helpdesk tools, and more)
• API access
• Fully guided support
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CloudZero helps businesses optimize cloud spend with full visibility into costs—so they can reduce wasteful spending and improve their unit economics. Unlike other solutions, we take an engineering-led approach to cost optimization, helping teams understand what drives 100% of their operational cloud spend, empowering them to reduce risk, minimize waste, and maximize profit.
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FinOpsly is an AI-native control plane for managing Cloud, Data, and AI spend at enterprise scale.
Built for organizations operating across multiple clouds and data platforms, FinOpsly shifts FinOps from passive reporting to active, governed execution. The platform connects cost, usage, and business context into a unified operating model—allowing teams to anticipate spend, enforce guardrails, and take automated action with confidence.
FinOpsly brings together infrastructure (AWS, Azure, GCP), data platforms (Snowflake, Databricks, BigQuery), and AI workloads into a single decision and execution layer. With explainable AI agents operating under policy-based controls, teams can safely automate optimization, trace cost drivers to real workloads, and stop budget drift before it becomes a problem.
Key capabilities include:
Business-aware cost attribution across products, teams, and services
Predictive insight into cost drivers with clear, explainable reasoning
Policy-controlled automation to optimize spend without disrupting performance
Early detection and prevention of overruns, inefficiencies, and financial drift
FinOpsly enables engineering, finance, and platform teams to operate from the same source of truth—turning cloud and data spend into a controllable, measurable part of the business.
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StormForge
StormForge drives immediate benefits for organization through its continuous Kubernetes workload rightsizing capabilities — leading to cost savings of 40-60% along with performance and reliability improvements across the entire estate.
As a vertical rightsizing solution, Optimize Live is autonomous, tunable, and works seamlessly with the HPA at enterprise scale. Optimize Live addresses both over- and under-provisioned workloads by analyzing usage data with advanced ML algorithms to recommend optimal resource requests and limits.
Recommendations can be deployed automatically on a flexible schedule, accounting for changes in traffic patterns or application resource requirements, ensuring that workloads are always right-sized, and freeing developers from the toil and cognitive load of infrastructure sizing.
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Integrations
Company Details
Company:
Amazon
Year Founded:
1994
Headquarters:
United States
Website:
aws.amazon.com/compute-optimizer/
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support
AWS Compute Optimizer Features and Options
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