Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability.
AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.
Pantomath provides efficient data analysis and business intelligence, handling large datasets to generate actionable insights with advanced analytics.
Pantomath serves as a robust platform for data analysis and business intelligence. It handles large datasets efficiently, providing actionable insights through advanced analytics features. It supports decision-making by offering detailed visual reports and real-time data monitoring. Its intuitive design facilitates easy integration with existing systems and simplifies complex data tasks, leading to improved productivity and strategic planning.
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Pantomath finds applications in various industries by adapting to specific requirements. For example, in finance, it enables real-time financial monitoring and forecasting. In healthcare, it helps analyze patient data to improve treatment plans. Manufacturing industries use it for optimizing production processes and supply chain management.
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