The Need

While the cloud is revolutionizing computing by offering limitless access, flexibility, and scalability, taking full advantage of it necessitates managing a multitude of services, servers, and intricate dependencies, even for relatively simple applications. The challenge of coordinating and integrating all these elements to make a runnable operable, and accessible in the cloud can be time-consuming and difficult to administer.

Quantitative analysts (quants), data scientists and researchers are increasingly specialized in their respective fields, such as machine and analytics), but often lack sufficient proficiency in utilizing cloud technologies and developing runnables, thus preventing them from realizing the full potential of the cloud.

What Datatailr Offers

Datatailr enables you to focus on the core functionality of your applications (apps, batches, services, and so on – referred to from now on as runnables), freeing up more of your time to create new features. The platform eliminates the need to manage the technical aspects of developing and deploying runnables, providing an ecosystem that abstracts away the underlying complexity. This makes it faster, simpler, and safer to develop and distribute a range of runnables, from simple analytics models to complex enterprise apps, services, and batches, within a user-friendly development environment accessible through a standard web browser.

Datatailr – From Idea to Production

Datatailr offers a comprehensive platform for creating and deploying applications, allowing users to develop, implement, test and deploy ideas safely. The platform provides a wide range of simple tools and resources that hide the complexity of the cloud and enable you to bring coding to life and ideas to fruition.

Security

Security is a fundamental aspect of Datatailr's design, with automatic, military-grade encryption applied to all elements at all times. Encrypting all network connections between containers using AES (Advanced Encryption Standard) ensures that all data, both in transit and at rest, is secure.

Isolation

Datatailr's isolation feature offers unparalleled power and flexibility, allowing multiple users or quant pods to run on the same platform with complete segregation. This isolation is achieved through entitlement controls on all aspects of the platform, including runnables, data, and generated output. Datatailr uses containerization to isolate each user's IDE, ensuring that only the user has access to it, and even Datatailr administrators cannot access it.

Datatailr's granular entitlement feature allows multiple teams to utilize the platform's common architecture while maintaining complete isolation but also grants the ability to easily share specific data and infrastructure.

Multilanguage Development

Modern enterprises increasingly use multiple programming languages as part of their technology stack. Datatailr simplifies this process by providing a unified set of tools for development and deployment across various languages, including Python, Julia, and Rust.

Making the Cloud Simple

Datatailr simplifies the complexity of the cloud, empowering you to develop and distribute runnables independently without dedicated cloud specialists support. You can create, deploy, and distribute programs at scale in a controlled environment directly from your browser, having zero knowledge about the Cloud.

Flexibility

Datatailr enables platform administrators to set up defaults for developers and/or end-users and, in addition, provides developers with a wide variety of flexible options for configuring how they would like to use Datatailr and how it should operate.

Dynamic Cloud Resource Allocation

Optimal Performance

Datatailr optimizes and rightsizes cloud resources to ensure optimal performance.

Datatailr’s advanced machine learning capabilities accurately predict the resource needs of your runnables and continuously adjust them in real-time. By optimizing and right-sizing cloud resources to ensure enough resources are available as they are needed, Datatailr enables optimal performance.

The need to maintain optimal performance in a cloud environment is especially critical when multiple users are running multiple instances of batch jobs and services simultaneously. The resulting increased demand for memory and CPU usage may meet resource constraints that negatively impact performance. Datatailr addresses this by supporting popular cloud providers (AWS, GCP, Azure) to automatically scale cloud resource allocation dynamically.

Cost Savings

Datatailr dynamically scales cloud resources to avoid over-allocation, thus optimizing resource costs.

Over time, Datatailr learns the daily resource needs of your organization and uses this information to automatically turn off resources that are no longer needed. In addition, Datatailr also automatically provisions resources just in time (before they are needed), such as allocating resources for the development team in the morning of each workday. This dynamic scaling allows resources to be scaled up during workdays and scaled-down outside of work hours, ensuring that they are always available when needed while reducing costs.

This results in significant cost savings because cloud providers charge for services and batches on a per-minute basis, regardless of whether they are running simultaneously or consecutively. Many data centers incur unnecessary costs by running all the same services in the cloud that they previously ran on physical servers, regardless of whether they are needed or not.

Cloud Budget Management and Control

Datatailr enables executives to put tight and granular limits on infrastructure spending. Datatailr's Cost Center budget management enables effective allocation, tracking, and limiting of cloud usage for users and teams. This ensures expenses stay within budget limits per user, application, and service type. The system also provides preemptive warnings, detailed tracking options, and automatic shut-off when the budget limit is exceeded by some configurable leeway.