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What is atQor HRIS?

The routine gathering of daily reports and attendance records for each employee is a common practice for the HR management team, but depending solely on manual methods can sometimes result in errors in data handling. To enhance this process, the Human Resources Information System (HRIS) provides a web-based solution that automates numerous HR management functions. This system captures employee data whenever they log in, log out, or enter information, ensuring it is securely stored either in the cloud or on internal servers. Beyond just managing personnel information, HRIS functions as a talent management platform that streamlines the recruitment process by attracting a diverse pool of candidates. By leveraging modern HR management capabilities, our system can connect to social media networks, giving you access to a vast array of professional profiles. Thanks to its cutting-edge search technology, your HR team can easily pinpoint hard-to-find candidate profiles, allowing for the swift sorting of top candidates with just a single click. In addition to improving operational efficiency, this method also plays a crucial role in elevating the overall quality of new hires, leading to a more competent workforce. By embracing these technological advancements, organizations can foster a more strategic approach to both recruitment and employee management.

What is Google Cloud Profiler?

Evaluating the efficiency of production systems is often seen as a difficult endeavor. Testing environments frequently miss the authentic pressures found in a real-world production context when performance assessments are conducted. Although micro-benchmarking specific parts of your application may be possible, it typically does not accurately represent the genuine workload and behavior of a production environment. Continuous profiling of these production settings proves to be an essential approach for determining how resources like CPU and memory are consumed during service operation. Nonetheless, this profiling comes with its own set of challenges: to be effective in revealing resource usage trends, the additional overhead should remain as low as possible. In this regard, Cloud Profiler presents itself as an effective solution, functioning as a statistical, low-overhead tool that systematically gathers data on CPU consumption and memory usage from active applications. This tool adeptly ties that information back to the specific source code responsible for it, enhancing understanding of resource distribution. By implementing such a profiler, developers can fine-tune their applications without compromising overall system performance, ultimately leading to more efficient and reliable software. This ensures that applications not only run smoothly but also meet user demands in a timely manner.

Media

Media

Integrations Supported

Integrations Supported

Google Cloud Dataflow
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Compute Engine
Google Kubernetes Engine (GKE)

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

atQor

Date Founded

2002

Company Location

United States

Company Website

www.atqor.com/solutions/hris/

Company Facts

Organization Name

Google

Company Location

United States

Company Website

cloud.google.com/profiler/docs/about-profiler

Categories and Features

Human Resources

Not specified

Categories and Features

Cloud Monitoring

Not specified

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