Reduce cost surprises and enhance control without slowing innovation. It leverages advanced Machine Learning technologies to identify anomalous spend and root causes, so you can quickly take action. With three simple steps, you can create your own contexualized monitor and receive alerts when any anomalous spend is detected. Let builders build and let it monitor your spend and reduce the risk of billing surprises.
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AWS Cost Anomaly Detection
| Company | Country | Industry | Employees | Revenue | Technologies |
|---|---|---|---|---|---|
 United Kingdom | It Services And It Consulting | 51 |
| AWS Cost Anomaly Detection | |
Machinery Manufacturing | 10K |
| AWS Cost Anomaly Detection | ||
 United States | Appliances, Electrical, And Electronics Manufacturing | 5.9K | $50M | AWS Cost Anomaly Detection |
We have data on 3 companies that use AWS Cost Anomaly Detection. Our AWS Cost Anomaly Detection customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
AWS Cost Anomaly Detection is used in 2 countries
There are 33 alternatives to AWS Cost Anomaly Detection
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Technoloy Usage Stadistics and Market Share
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
You can export his data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
AWS Cost Anomaly Detection is a cutting-edge technology designed to help businesses effectively monitor their cloud costs and identify anomalies that could signify potential issues or opportunities for optimization. By leveraging advanced algorithms and machine learning capabilities, this tool enables users to gain insights into their AWS spending patterns, detect irregularities, and take proactive measures to manage costs efficiently.
Cloud Monitoring, the category to which AWS Cost Anomaly Detection belongs, focuses on overseeing the performance, availability, and cost of cloud resources. It involves tracking various metrics and analyzing data to ensure that cloud-based systems operate optimally. AWS Cost Anomaly Detection plays a crucial role in this category by specifically addressing cost-related aspects, offering businesses the means to monitor and control their expenditure within the AWS environment.
Founded by Amazon Web Services (AWS), AWS Cost Anomaly Detection was developed to meet the growing demand for cost-effective cloud management solutions. As organizations increasingly embraced cloud technologies, the need for tools that could help them navigate the complexities of cloud cost management became evident. AWS took on the challenge of creating a solution that would not only provide insights into cost anomalies but also empower users to make informed decisions to optimize their spending.
Currently, AWS Cost Anomaly Detection holds a significant market share within the Cloud Monitoring category, owing to its robust capabilities and the reputation of AWS as a leading cloud service provider. With the cloud computing market continuing to expand rapidly, it is anticipated that the demand for cost monitoring tools like AWS Cost Anomaly Detection will grow in tandem. As businesses strive to maximize efficiency and cost-effectiveness in their cloud operations, the technology is poised to witness further market share gains in the future.
You can access an updated list of companies using AWS Cost Anomaly Detection by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 3 companies that use AWS Cost Anomaly Detection.
AWS Cost Anomaly Detection is used by a diverse range of organizations across various industries, including "It Services And It Consulting", "Machinery Manufacturing", "Appliances, Electrical, And Electronics Manufacturing". For a comprehensive list of all industries utilizing AWS Cost Anomaly Detection, please visit TheirStack.com.
Some of the companies that use AWS Cost Anomaly Detection include Neurons Lab, Caterpillar, Amazon Dev Center U.S., Inc. and many more. You can find a complete list of 3 companies that use AWS Cost Anomaly Detection on TheirStack.com.
Based on our data, AWS Cost Anomaly Detection is most popular in United Kingdom (1 companies), United States (1 companies). However, it is used by companies all over the world.
You can find companies using AWS Cost Anomaly Detection by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.
