π API Management Summary
API Management refers to the process of creating, publishing, securing, monitoring, and managing application programming interfaces (APIs) in a secure and scalable way. It helps organisations control who can access their APIs, monitor usage, and ensure that APIs are running smoothly. Good API management also simplifies the process of updating APIs and helps protect data from unauthorised access.
ππ»ββοΈ Explain API Management Simply
Imagine you own a library with many books, but only want certain people to access certain sections. API management is like having a librarian who checks library cards, keeps track of who borrows books, and ensures the books are returned safely. This way, the library stays organised and secure, and everyone knows the rules for borrowing.
π How Can it be used?
API management can be used to control and monitor access to a company’s data services for mobile app developers.
πΊοΈ Real World Examples
A bank uses API management tools to provide secure access for third-party apps to customer account information, allowing users to view balances or make payments while keeping sensitive data protected and tracking how the APIs are used.
An online retailer manages its product catalogue and order processing APIs using an API management platform, ensuring that partner websites can access up-to-date information while monitoring traffic and preventing misuse.
β FAQ
What is API Management and why is it important?
API Management is the process of creating, publishing, securing and monitoring APIs so that businesses can share data and services safely with others. It is important because it helps organisations control access, keep track of how APIs are being used, and make sure everything runs smoothly. This means businesses can share information with partners, customers or apps without worrying about security or performance.
How does API Management help keep data safe?
API Management uses tools and rules to make sure only authorised people or systems can access certain information. It can block unwanted requests, spot unusual activity, and keep track of who is using the API. This helps protect sensitive data from being seen or changed by people who should not have access.
Can API Management make it easier to update or improve APIs?
Yes, API Management makes it much simpler to update or improve APIs. It provides ways to publish new versions, fix problems quickly, and let users know about changes. This helps organisations keep their services up to date and reduces the risk of mistakes or confusion for those who use the APIs.
π Categories
π External Reference Links
π Was This Helpful?
If this page helped you, please consider giving us a linkback or share on social media!
π https://www.efficiencyai.co.uk/knowledge_card/api-management
Ready to Transform, and Optimise?
At EfficiencyAI, we donβt just understand technology β 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.
Letβs talk about whatβs next for your organisation.
π‘Other Useful Knowledge Cards
AI for Mental Wellness
AI for Mental Wellness refers to the use of artificial intelligence technologies to support, monitor, or improve mental health. These tools can analyse data from text, speech, or behaviour to detect signs of stress, anxiety, or depression. They may also offer recommendations, reminders, or coping strategies to help individuals manage their mental wellbeing.
Adaptive Prompt Memory Buffers
Adaptive Prompt Memory Buffers are systems used in artificial intelligence to remember and manage previous interactions or prompts during a conversation. They help the AI keep track of relevant information, adapt responses, and avoid repeating itself. These buffers adjust what information to keep or forget based on the context and the ongoing dialogue to maintain coherent and useful conversations.
Feasibility Study
A feasibility study is an analysis used to determine if a project or idea is practical and likely to succeed. It examines factors such as costs, resources, time, and potential risks to assess whether the proposed plan can be carried out effectively. The main goal is to help decision-makers understand if it is worth investing time and money into the project before committing fully.
Contingency Planning
Contingency planning is the process of preparing for unexpected events or emergencies that might disrupt normal operations. It involves identifying possible risks, assessing their potential impact, and creating detailed plans to respond effectively if those situations occur. The goal is to minimise damage and ensure that essential activities can continue or be quickly restored.
Structured Prediction
Structured prediction is a type of machine learning where the goal is to predict complex outputs that have internal structure, such as sequences, trees, or grids. Unlike simple classification or regression, where each prediction is a single value or label, structured prediction models outputs that are made up of multiple related elements. This approach is essential when the relationships between parts of the output are important and cannot be ignored.