Last week, we listed 16 practices to help secure one's APIs and described how to implement them with Apache APISIX. This week, we will look at the remaining practices.
This guide helps you understand the security challenges in GenAI Evolution and discusses robust measures to mitigate potential leaks, manipulation, and misuse.
The cloud app development process brings a lot of convenience to modern businesses. It helps manage storage and performance issues to improve the end-user experience.
Explore the transformative effects of AI on software testing. From enhancing test automation to improving defect detection. Read how AI-driven testing works.
Explore the importance of logging and monitoring in GCP, various options and best practices for logging and monitoring, and popular GCP services and tools.
Enacting visibility, input, and accountability for both the development and operations teams ensures secure SSCs and provides an opportunity to strengthen DevOps culture.
Extractive summarization is a prominent technique in the field of NLP. Learn how you can pull key sentences out of a corpus of text using BERT Summarization.
AI advancements in API technology involve enhancing NLP capabilities, improving algorithmic decision-making through reinforcement learning, and expanding AI integration.
Import historical data into a stream table in chronological order as “real-time data” so that the same script can be used both for backtesting and real-time trading.
Learn how to implement a data pipeline that integrates Apache Kafka with AWS RDS and use AWS Lambda and API Gateway to feed data into a web application.