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Edited -- Divide the total number of users by the desired duration to determine the ramp-up rate. For example:

If you want to ramp up 100 users evenly over 1 minute:
Ramp-Up Period = Total number of users / Desired duration
= 100 users / 1 minute
= 100 users/minute
In this case, each user would start every 0.01 minutes (or every 0.6 seconds).

If you want to ramp up 100 users evenly over 5 minutes:
Ramp-Up Period = Total number of users / Desired duration
= 100 users / 5 minutes
= 20 users/minute
In this case, each user would start every 0.05 minutes (or every 3 seconds).

Consider Realistic Scenarios:
While evenly distributing users is a common approach, consider if it reflects the real-world usage pattern of your application. Sometimes, you might want to simulate a more gradual or sudden increase in load to mimic how users interact with the system.

Test Iteratively and Adjust as Needed:
It's essential to iterate on your load tests, adjusting parameters like the ramp-up period based on initial results. This iterative process helps refine the test plan to better simulate real-world scenarios and uncover performance bottlenecks.

Edited--Wireframes are basic blueprints that help teams align on requirements, keeping UX design conversations focused and constructive. Think of your wireframe as the skeleton of your app, website, or other final product. Your wireframe shows the design team and stakeholders the bare-bones outlines of essential webpages, components, and features, including:

Screen layouts
Navigation bars
Components of UX and UI design
Interactive elements
At the early stages of design, low-fidelity wireframes rely on lorem ipsum text and simple boxes as placeholders for images and videos. This helps the design team, copywriters, and other team members to focus on basic functionality to align around the right direction.

Starting with a clean, spare wireframe design also gives UI/UX designers room to iterate. They can collect early feedback from user testing on core UX/UI elements, without distracting users with visual design details. Design teams try out different concepts, user flows, and templates as they work toward the ultimate user experience.

The IoT-Based Smart Farming Cycle
The core of IoT is the data you can draw from things and transmit over the internet. To optimize the farming process, IoT devices installed on a farm should collect and process data in a repetitive cycle that enables farmers to react quickly to emerging issues and changes in ambient conditions. Smart farming follows a cycle similar to this one:

1. Observation . Sensors record observational data from the crops, livestock, soil, or atmosphere.

2. Diagnostics. The sensor values are fed to a cloud-hosted IoT platform with predefined decision rules and models—also called "business logic"—that ascertain the condition of the examined object and identify any deficiencies or needs.

3. Decisions . The user and/or the machine learning-driven components of the IoT platform assess the revealed issues to decide if location-specific treatment is necessary.

4. Action . After end-user evaluation and action, the cycle repeats from the beginning.

The IoT-Based Smart Farming Cycle
The core of IoT is the data you can draw from things and transmit over the internet. To optimize the farming process, IoT devices installed on a farm should collect and process data in a repetitive cycle that enables farmers to react quickly to emerging issues and changes in ambient conditions. Smart farming follows a cycle similar to this one:

1. Observation . Sensors record observational data from the crops, livestock, soil, or atmosphere.

2. Diagnostics. The sensor values are fed to a cloud-hosted IoT platform with predefined decision rules and models—also called "business logic"—that ascertain the condition of the examined object and identify any deficiencies or needs.

3. Decisions . The user and/or the machine learning-driven components of the IoT platform assess the revealed issues to decide if location-specific treatment is necessary.

4. Action . After end-user evaluation and action, the cycle repeats from the beginning.

Child group post by admin:
API testing is a procedure developers use to evaluate APIs' functionality, efficacy, and security. Before releasing their software, the results of API testing will inform developers if problem fixes and patches are required. They accomplish this through a simulation that entails sending queries that would reach the API when it is accessible to its users, regardless of whether it is authentic. They observe the API to determine how it will react to this volume of queries. If the results are positive, integrating the API is secure. If not, they will be required to fix it.

Edited--The Agile Alliance defines 12 lightness principles for those who need to attain agility:

Our highest priority is to satisfy the client through early and continuous delivery of valuable computer software.
Welcome dynamic necessities, even late in development. Agile Processes harness modification for the customer’s competitive advantage.
Deliver operating computer software often, from a pair of weeks to a couple of months, with a preference to the shorter timescale.
Business individuals and developers should work along daily throughout the project.
The build comes around actuated people. offer them the setting and support they have, and trust them to urge the task done.
the foremost economical and effective methodology of conveyancing info to and among a development team is face-to-face speech.
Working with computer software is the primary life of progress.
Agile processes promote property development. The sponsors, developers, and users will be able to maintain a relentless pace indefinitely.
Continuous attention to technical excellence and smart style enhances nimbleness.
Simplicity—the art of maximizing the number of work not done—is essential.
the most effective architectures, necessities, and styles emerge from self–organizing groups.
At regular intervals, the team reflects on a way to become simpler, then tunes and adjusts its behavior consequently.

Edited: Core Functions of MIS:
Data Collection:
MIS systems gather data from various sources, both internal and external to the organization.
Data Processing:
Collected data is processed, analyzed, and transformed into meaningful information through various techniques.
Information Storage:
Processed information is stored in a structured manner for easy access and retrieval.
Information Dissemination:
The system distributes relevant information to the appropriate users in a timely manner.
Decision Support:
MIS provides the information needed by managers to make informed decisions, solve problems, and plan for the future.
Key Components of MIS:
Hardware: The physical components of the system, such as computers, servers, and networks.
Software: The applications and programs used to process and analyze data.
People: Individuals who operate and maintain the system and utilize the information it provides.
Procedures: The established rules and processes for using the system.
Data: The raw facts and figures collected and processed by the system.

Parent group post by admin:
Direct interaction:
API tests send requests directly to API endpoints and analyze the responses to ensure they meet expected outcomes. This involves checking status codes, response times, and the structure and content of the data returned.
Focus on business logic:
API testing primarily validates the underlying business rules and data flow within an application, independent of the user interface.
Early defect detection:
By testing APIs early in the development lifecycle, issues can be identified and resolved before they become more complex and costly to fix in later stages.
Automation potential:
API tests are highly automatable, allowing for frequent and efficient execution, which is crucial for continuous integration and continuous delivery (CI/CD) pipelines.
Types of API tests:
This can include functional testing (verifying core functionality), performance testing (measuring response times under load), security testing (identifying vulnerabilities), and integration testing (ensuring seamless communication between APIs and external services).