Contents
How can I make my API faster?
How to Make a Fast API
- Give API Consumers Control of What They Fetch.
- Help API Consumers Understand What’s Slow.
- Know the Data Access Patterns.
- Avoid the N+1 Problem – Understand the Available Data.
- Design the API Experience for Low Latency.
- Design the API to Cache Data.
- Design the API to Prefetch Data.
What affects API performance?
API performance can be affected by a number of issues, including a spike in server load at peak times, network issues (latency or outages, for instance), poorly configured caching or lack of compression.
Is fast API really fast?
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. The key features are: Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). One of the fastest Python frameworks available.
How to improve the security of your API endpoints?
This article covered several ways you can improve the security of your API endpoints: Authorize users using API keys. Enforce HTTPS for all APIs, even if they appear to be trivial. Use one-way password hashing with strong encryption to protect passwords. Use rate limiting to prevent unreasonable access and block DoS attacks.
What’s the best way to secure your API?
To secure your API, make HTTPS the only communication option available, even if the content or functionality provided by the API seems to be trivial. In case of a security breach, all user accounts are at risk, so never store passwords in cleartext.
How to improve REST API performance and deal with data overload?
You need to find a specific user by their name and pass their id on the system. To do this, we’ll need to write a route such as: api/v1/users?Search=’Richard’. This route is going to return us all the users with the name Richard. But along with username it has returned us the entire User object.
What are the benefits of automating API testing?
Leverage automation capability for your API testing process as much and as early as possible. Here are some significant benefits of automating API tests: Test data and execution history can be saved along with API endpoints. This makes it easier to rerun tests later. API tests are stable and changed with care.