What is AWS Compute Optimizer?
AWS Compute Optimizer is a powerful tool designed to optimize the performance and cost-efficiency of your AWS resources. By offering tailored recommendations, the service helps organizations rightsize their infrastructure, clean up unused resources, and address performance issues. It enables streamlined migration to AWS Graviton CPUs and provides licensing optimization advice to reduce operational costs. Additionally, Compute Optimizer helps businesses maximize savings by identifying idle resources and providing suggestions to improve usage efficiency. With customizable recommendations, the service ensures your AWS environment is running at optimal performance while minimizing costs.
Integrations
Similar Software to AWS Compute Optimizer
Setyl is a cloud-based IT asset and license management (ITAM) software that seamlessly integrates with your current tech stack through 100+ integrations.
The platform gives you complete visibility and control over hardware assets and equipment, software licenses, SaaS subscriptions, vendors, users, and spend in one place.
Use Setyl to:
1. Gain full visibility over your IT assets and software licenses — the who, what, why, where, and when.
2. Simplify, automate, and scale daily IT operations, including employee onboarding and offboarding.
3. Eliminate wasted IT spend.
4. Prepare for security audits and stay compliant, including with SOC 2, ISO 27001, and more.
With its intuitive interface, 100+ out-of-the-box integrations, and support from the Setyl team at every step, the platform is fast to deploy, easy to use, and built for collaboration.
Key features include:
• IT asset and license inventory
• Full asset lifecycle management
• Software and SaaS subscription renewal tracking
• License rightsizing
• Employee onboarding and offboarding workflows
• SOC 2 and ISO 27001 compliance
• Vendor audits and due diligence
• IT spend management
• 100+ integrations and API access
Integrations include: Microsoft 365 and Entra, Google Workspace and Cloud Identity, Okta, JumpCloud, Intune, Jamf, NinjaOne, Iru, Lansweeper, Tenable, Datto, Addigy, ConnectWise, CrowdStrike, Adobe, Slack, Zoom, BambooHR, HiBob, Factorial, Workday, Personio, NetSuite, Jira Service Management, Zendesk, and more.
By consolidating all these functionalities, Setyl helps organizations make informed IT decisions and enhance operational efficiency.
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Ask a CFO what the company spent on AI last quarter and you will get a number. Ask which product line it belonged to, whether anyone approved it, or what it earned, and the room goes quiet.
FinOpsly was built for that second set of questions.
It is an AI Cost Governance platform. AI does not run in isolation, so FinOpsly does not price it in isolation either. A model call pulls warehouse queries, GPU time and storage behind it, and the engineers building the feature are burning licensed seats the whole time. All of that lands in one cost model, mapped to the company's own structure: owner, team, product, business unit, customer.
What teams use it for:
Pricing a workload before anyone provisions anything. Describe the architecture, get a cost estimate across the stack, and see which assumptions drove it. Compare model options using consumption you have already paid for.
Making chargeback something finance trusts. Hierarchies run nine levels or deeper. Tags get standardized across providers that never agreed on a convention. API keys and resources are labeled in bulk from instructions written in ordinary English. Anything still unowned shows up as a dollar figure.
Holding the line during the month. Budgets by team, project or key. Anomalies flagged with a root cause and sent to the person responsible. Waste that provider consoles do not catch, found by FinOpsly's own detection models. Idle compute parked on schedules the customer approved, and reversible.
Proving the outcome. One chargeback run covering AI, cloud, data and SaaS together. Savings measured against the base-line along with cost-to-serve metrics: cost per active user, per customer served.
Customers have moved attributable spend from 68% to 99% inside 90 days and taken a chargeback cycle from 12.4 days down to under one.
Built for CIOs, CTOs, FinOps practitioners and the finance teams who sign off on the bill.
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The CloudZero Platform is uniquely positioned as the only cloud cost management tool that combines real-time engineering activities with financial data, helping users understand how their engineering decisions affect costs. Unlike typical cloud cost management solutions that focus solely on historical spending, CloudZero is specifically designed to help users recognize variations in costs and the underlying factors that contribute to them. Analyzing total spending can often obscure the identification of cost surges. To overcome this challenge, CloudZero utilizes machine learning technology to detect spikes in specific AWS accounts or services, facilitating proactive measures and informed planning. Aimed at engineers, CloudZero allows for meticulous examination of each line item, empowering users to respond to any questions, whether they stem from anomaly notifications or financial inquiries. This granular approach guarantees that teams retain a comprehensive insight into their cloud financials, ultimately supporting better decision-making and resource allocation. By fostering a deeper understanding of cost dynamics, CloudZero enables organizations to optimize their cloud spending effectively.
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StormForge
StormForge delivers immediate advantages to organizations by optimizing Kubernetes workloads, resulting in cost reductions of 40-60% and enhancements in overall performance and reliability throughout the infrastructure.
The Optimize Live solution, designed specifically for vertical rightsizing, operates autonomously and can be finely adjusted while integrating smoothly with the Horizontal Pod Autoscaler (HPA) at a large scale. Optimize Live effectively manages both over-provisioned and under-provisioned workloads by leveraging advanced machine learning algorithms to analyze usage data and recommend the most suitable resource requests and limits.
These recommendations can be implemented automatically on a customizable schedule, which takes into account fluctuations in traffic and shifts in application resource needs, guaranteeing that workloads are consistently optimized and alleviating developers from the burdensome task of infrastructure sizing. Consequently, this allows teams to focus more on innovation rather than maintenance, ultimately enhancing productivity and operational efficiency.
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Screenshots and Video
Company Facts
Company Name:
Amazon
Date Founded:
1994
Company Location:
United States
Company Website:
aws.amazon.com/compute-optimizer/
Product Details
Deployment
SaaS
Training Options
Documentation Hub
Support
Web-Based Support
Product Details
Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English