๐ Rate Limiter Summary
A rate limiter is a tool or technique used to control how often a particular action can happen in a set period of time. It is commonly used in computer systems to prevent overuse or abuse of resources, such as APIs or websites. By setting limits, it helps maintain system stability and ensures fair access for all users.
๐๐ปโโ๏ธ Explain Rate Limiter Simply
Imagine you are at a theme park where only a certain number of people are allowed on a ride every hour. If too many people try to get on at once, some must wait their turn. A rate limiter works the same way by making sure only a specific number of requests or actions can happen in a given time, so everything runs smoothly.
๐ How Can it be used?
A rate limiter can be used in a web application to prevent users from making too many login attempts in a short time.
๐บ๏ธ Real World Examples
An online ticket booking system uses a rate limiter to prevent automated bots from making hundreds of ticket purchases in seconds, helping to ensure that real customers have a fair chance to buy tickets.
A social media platform might use a rate limiter to control how many posts or messages a user can send per minute, reducing spam and server load.
โ FAQ
What is a rate limiter and why is it important?
A rate limiter is a way to control how often something can happen, like how many times you can use a website or an app in a certain period. It is important because it helps prevent systems from getting overloaded or misused, making sure everyone has a fair chance to use the service without it slowing down or crashing.
How does a rate limiter protect websites and apps?
A rate limiter helps protect websites and apps by stopping people or computers from making too many requests in a short time. This keeps the system running smoothly, stops spam, and prevents accidental or deliberate overuse that could make the service unavailable for others.
Can a rate limiter affect my experience when using an online service?
Yes, a rate limiter can affect your experience if you try to do too much at once, like refreshing a page repeatedly or sending lots of messages quickly. Most of the time, you will not notice it unless you go over the set limit, and then you might see a message asking you to wait before trying again. It is there to keep the service reliable for everyone.
๐ Categories
๐ External Reference Links
Ready to Transform, and Optimise?
At EfficiencyAI, we donโt just understand technology โ we understand how it impacts real business operations. Our consultants have delivered global transformation programmes, run strategic workshops, and helped organisations improve processes, automate workflows, and drive measurable results.
Whether you're exploring AI, automation, or data strategy, we bring the experience to guide you from challenge to solution.
Letโs talk about whatโs next for your organisation.
๐กOther Useful Knowledge Cards
Talent Management Strategy
Talent management strategy is an organised approach that businesses use to attract, develop, retain, and make the best use of their employees. It covers activities such as recruitment, training, performance management, and succession planning. The aim is to ensure the organisation has the right people with the right skills in the right roles to achieve its goals.
AI-Powered Forecasting
AI-powered forecasting is the use of artificial intelligence to predict future events or trends based on data. These systems analyse large amounts of information, identify patterns, and make predictions more quickly and accurately than traditional methods. Businesses and organisations use AI forecasting to make better decisions by anticipating what might happen next.
Knowledge Representation Models
Knowledge representation models are ways for computers to organise, store, and use information so they can reason and solve problems. These models help machines understand relationships, rules, and facts in a structured format. Common types include semantic networks, frames, and logic-based systems, each designed to make information easier for computers to process and work with.
Encrypted Machine Learning
Encrypted machine learning is a method where data is kept secure and private during the process of training or using machine learning models. This is done by using encryption techniques so that data can be analysed or predictions can be made without ever revealing the raw information. It helps organisations use sensitive information, like medical or financial records, for machine learning without risking privacy breaches.
Network Access Control Policies
Network Access Control Policies are rules set by organisations to decide who can connect to their computer networks and what resources they can use. These policies help keep networks safe by allowing only trusted devices and users to access sensitive information. They can be based on user identity, device type, location, or time of access, and are enforced using specialised software or hardware.