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Visualize, analyze, and manage your public cloud spend programmatically and continuously with these AWS cost monitoring tools.
AWS cost monitoring tools enable you to track your resource consumption and costs associated with running operations on the AWS platform. These tools vary in capabilities, but they typically offer customizable reporting, dashboarding, data analytics, built-in automation, and cost alerting.
Keep in mind, AWS monitoring differs from AWS management in that monitoring provides usage and cost data without necessarily offering optimization tools, while management comprises the actions you take based on the data.
Fortunately, most modern AWS cost monitoring software helps you do both in one single platform. But different tools do not offer equal capabilities. Here are ten of the best AWS usage and cost monitoring available today.
CloudZero offers a unique way to continuously view, understand, and control your AWS costs. Besides your tagged resources, the platform's AI-powered engine identifies, collects, and analyzes cost indicators from your entire AWS environment and applications, not just your tagged resources.
This approach provides complete and accurate AWS usage and cost insight even if you have messy cost allocation tags.
Rather than only monitoring your total AWS usage at any given time, CloudZero Dimensions also enable you to connect resource costs and usage with the people, products, and processes that produce them.
This approach lets you slice and dice costs to hourly granularity by:
With CloudZero's real-time cloud cost anomaly detection, you’ll also receive alerts on trending costs, suspicious spikes, or unplanned workloads directly to your Slack or email account so that you avoid going over budget.
Using CloudZero Budgets, you can also continuously set custom budget limits and track resource consumption and costs.
Whenever you are likely to exceed, or you do exceed your set budget, the cost anomaly feature alerts you right away.
AWS offers a wide range of monitoring tools that support data analytics, automation, and alerting. They include:
AWS customers can take advantage of many of these for free, while others require a fee. AWS native cost monitoring tools are best if you only run a few workloads on AWS. As you scale, you may find them inexact or lacking the granularity you need to understand who, what, and why your AWS costs and usage are rising.
Komiser provides cloud monitoring, analytics, and optimization services. Komiser Community Edition is a free and open-source version that offers cost forecasts and basic cost optimization recommendations for AWS, GCP, Azure, and Digital Ocean.
Komiser Enterprise offers more AWS cost monitoring benefits, including support for multiple accounts and users, cost breakdowns, and custom recommendations. It also monitors your AWS environment for abnormal behavior and alerts you so you can intervene in time to prevent cost overruns.
When Spot Instances are available at a reasonable price, Xosphere Instance Orchestrator actively replaces On-Demand Instances with them. It uses continuous monitoring and custom bidding rules to achieve this in a dynamic and timely manner.
If AWS Spot Instances become insufficient or uneconomical, Xosphere automatically switches your system back to On-Demand Instances, just in time to avoid performance degradation, availability issues, or unexpected costs. Xosphere also supports containers.
Using advanced Artificial Intelligence (AI) algorithms, ProsperOps finds the most cost-effective way to use AWS Reserved Instances and Savings Plans. This happens automatically and continuously to help you integrate AWS cost awareness into your engineering culture.
Instead of charging a percentage of your spending, it only charges on savings, meaning ProsperOps pays for itself. Charges are $0.05 per dollar saved on compute and $0.35 per dollar saved on optimized or purchased convertible reserved instances.
The TotalCloud platform helps you see your AWS cloud resource consumption and costs at scale. The Cost Insights feature automatically analyzes purchase reports, consumption reports, and cost predictions. With TotalCloud's usage-based scheduling, you can automatically end resources based on their idleness.
The tool can also help you find right-sizing opportunities and reduce costs by cleaning up unnecessary data. You get access to insights from multiple accounts in one place as well.
PyraCloud's GorillaStack is designed for AWS cost management leaders to monitor and control resource consumption and associated costs using pre-configured rules. It's just a matter of choosing the rules, when and where to execute the workflow, and you're done.
It will help you identify idle, over-provisioned, or unnecessary resources. But GorillaStack can do far more than just check for errors; it can also perform cost management actions, including deleting orphaned snapshots, detached EBS volumes, and disassociated IP addresses.
Ascending is a continuous monitoring and automated analysis tool for monitoring and analyzing Reserved Instance usage. You can also use it to find and apply the right-fit RIs for your workload.
It uses ongoing RI management and dynamically monitors your Amazon Elastic Compute Cloud (EC2), ElastiCache, and Relational Database Service (RDS) usage. It also generates usage and cost charts, performs COGS analysis, and enables chargeback via resource tagging.
NetApp's Spot provides Cloud Analyzer for analyzing real-time and historical data from across your AWS accounts and workloads to identify usage and cost patterns, trends, and anomalies. Its analytics tool identifies, quantifies, and recommends optimization recommendations for a given situation.
Cloud Analyzer makes recommendations based on tried-and-true methods, such as rightsizing and volume buying. Implementing those recommendations is your decision to make. If you choose to do so, you can then automate the process in the future to monitor and optimize your system without too much involvement on your part.
Opsani's cost monitoring is dual-pronged. They built it as an infrastructure optimization tool rather than a traditional cost monitoring service. It still uses AI and machine learning for ongoing resource usage and cost monitoring.
But by actively analyzing your setup configurations, it finds the most optimal combination of parameter settings and resources for your workload. Opsani then tunes your runtime parameters to ensure your system's performance needs are met without compromising customer experiences.
These AWS cost monitoring tools help you visualize and monitor the resources you use and the money you spend for them. But seeing who, what, and why your cloud spend changes is beyond most cost monitoring software.
Perhaps you:
If any of these sound familiar to you, CloudZero’s cloud cost intelligence platform can help. You can track AWS resource usage and associated costs down to the exact team, product feature, project, or customer that incurred them — by the hour.
CloudZero cost insights are based on telemetry. So you won't need perfect tags to get accurate costs insights you can rely on for cost allocation and forecasting in AWS.
CloudZero is the only solution that enables you to allocate 100% of your spend in hours — so you can align everyone around cost dimensions that matter to your business.