OpenID Connect is an authentication protocol that builds on top of OAuth 2.0. It allows applications to verify the identity of users based on the authentication performed by an authorization server. While OAuth 2.0 is primarily for authorization, OpenID Connect adds an identity layer, making it easier to obtain user profile information and ensure secure user authentication.

The structure of a JSON Web Token (JWT) consists of three parts: the header, payload, and signature. The header contains information about the type and the signing algorithm used. The payload contains claims or information about the user. The signature is a cryptographic signature of the header and payload, ensuring data integrity and authentication.

OpenID Connect ensures that tokens are not misused or intercepted by using HTTPS for secure transmission. This means that tokens are sent over encrypted connections, reducing the risk of eavesdropping and interception. The use of HTTPS is a fundamental security measure for protecting the confidentiality and integrity of tokens in transit.

Monitoring APIs after deployment is essential to ensure high availability and reliability. It allows for real-time tracking of API performance, identifying and addressing issues, and ensuring that the API meets the needs of users. While adding more features and impressing stakeholders are important, the primary goal of monitoring is to maintain service availability and quality.

An API key is a unique code that is typically passed with API requests. It serves as an access token, allowing the API provider to identify and authenticate the user or application accessing the API. API keys are used to control access, track usage, and ensure security in API interactions.

Effective API troubleshooting often involves analyzing logs to identify patterns or anomalies. Logs contain a record of events and activities within an application or system, including error messages and other relevant information. By examining logs, developers and administrators can gain insights into the API's behavior and diagnose issues, which is essential for effective troubleshooting.

Debugging an API can involve various issues, including network latency problems, authentication issues, and data serialization errors. These issues can impact the proper functioning of the API and need to be addressed during the debugging process.

Load testing for APIs focuses on assessing how well the API performs under varying levels of load, such as concurrent users or data volume. Performance testing, on the other hand, encompasses a broader evaluation of the API's overall capabilities, including speed, scalability, security, and more.

Logging can be effectively used in API troubleshooting to track requests and responses. It helps in identifying issues, analyzing traffic, and monitoring performance, which is crucial for debugging and maintaining API functionality.

Automating functional tests ensures that the API functions correctly in a real-world scenario, from start to finish. Functional tests verify that the API performs its intended tasks and provides the expected results, making them critical for ensuring the API's overall reliability and functionality.