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AWS Compute Optimizer recommends optimal AWS Compute resources for your workloads to reduce costs and improve performance by using machine learning to analyze historical utilization metrics. Over-provisioning compute can lead to unnecessary infrastructure cost and under-provisioning compute can lead to poor application performance. Compute Optimizer helps you choose the optimal Amazon EC2 instance types, including those that are part of an Amazon EC2 Auto Scaling group, based on your utilization data.
By applying the knowledge drawn from Amazon’s own experience running diverse workloads in the cloud, Compute Optimizer identifies workload patterns and recommends optimal compute resources. Compute Optimizer analyzes the configuration and resource utilization of your workload to identify dozens of defining characteristics, for example, if a workload is CPU-intensive, or if it exhibits a daily pattern or if a workload accesses local storage frequently. The service processes these characteristics and identifies the hardware resource headroom required by the workload. Compute Optimizer infers how the workload would have performed on various hardware platforms (e.g. Amazon EC2 instances types) and offers recommendations.
Code Ocean is a cloud-based platform that facilitates reproducible research and collaboration across disciplines. It is designed for researchers and developers looking to streamline computational workflows and enhance project sharing and management capabilities.
Code Ocean empowers users with a comprehensive set of tools to create, manage, and share computational environments efficiently. By integrating with popular scientific languages and offering a platform for seamless collaboration, it enhances productivity in research projects. Users benefit from robust computing resources and easy integration with third-party data sources. Code Ocean offers a secure, scalable environment tailored to the needs of researchers, ensuring that complex computational tasks are executed smoothly.
What are the key features of Code Ocean?In the healthcare industry, Code Ocean is used to manage clinical trial data, ensuring that complex data sets are processed accurately and efficiently. In academia, it supports educators by enabling students to share and run experiments with ease, fostering an interactive learning environment. In finance, it is adopted for risk modeling and data analysis, offering a consistent platform for quantitative research. Each industry benefits from Code Ocean's flexibility and robust feature set, ensuring that computational needs are met with precision.
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