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AuthorDileep Kumar Pandiya, Nilesh Charankar

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【One-Line Pitch】 AI and Microservices Integrating AI into API Design and Distributed Microservice Architecture (Dileep Kumar Pandiya, Nilesh Charankar) (Z-Library) (Dileep Kumar Pandiya, Nilesh Charankar): a quick map of the book's arc and key takeaways for busy readers. 【Book Arc】 - **Opening (~0%–12%)**: 书名: AI and Microservices Integrating AI into API Design and Distributed Microservice Architecture…; oring Tools ..........................................168 7.4 Optimizing Performance with AI ....… - **Early (~12%–35%)**: d within an application are provided in a single codebase.; n ensuring maintainability and focused development of the microservices, further enhancing scaling. - **Middle (~35%–65%)**: ar Pandiya and Nilesh Charankar 2025 87 D.; ten mentioned as functional tests that imitate the actual usage of multiple services. - **Late (~65%–88%)**: Several AI-developed threat detection tools have emerged in the cybersecurity world.; ning of the models across several decentralized devices or servers and without sharing the samples of the data. - **Ending (~88%–100%)**: her outcome in all activities addressed within the company.; ication approach (Shivakumar S.K and Shivakumar S.K, 2020). 【Key Takeaways】 - **书名: AI and Microservic…** (Opening): 书名: AI and Microservices Integrating AI into API Design and Distributed Microservice Architecture… - **oring Tools ..........…** (Opening): oring Tools ..........................................168 7.4 Optimizing Performance with AI ....… - **Another crucial form o…** (Opening): Another crucial form of big data is known as unstructured data, which can be sourced from multiple places. - **d within an applicatio…** (Early): d within an application are provided in a single codebase. - **n ensuring maintainabi…** (Early): n ensuring maintainability and focused development of the microservices, further enhancing scaling. - **face between the micro…** (Early): face between the microservices through which they interact. 【Reading Tips】 - Use Passage locations below to jump into the text and set reading anchors - If this is a brief outline, click Regenerate (top right) for a synthesized guide 【Coverage Limits】 Compressed outline without the model (~32 index chunks). Full structured guide needs AI available.
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oring Tools ..........................................168 7.4 Optimizing Performance with AI ...................................................................
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efit of performance and scalability, ensuring sustainable development. REST can be used in microservices, web services, and even web-based applications to en...
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the same biases as the ones that were in the training set. Maintenance and Evolution: AI models need to be updated on a regular basis as the programming lang...
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analytics are important especially in the area of testing. Techniques used in the current systems can be regarded as inadequate, especially due to the growin...
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ut across the architecture and design of software systems. Success in using these patterns means understanding AI not in terms of the specific procedures to...
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s. Delayed response is another problem associated with the system that makes users unhappy and slows the system down. Real-time response-time measurement and...
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her outcome in all activities addressed within the company. By reducing redundancies and human interventions, integration facilitates an appropriate developm...
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n a desired measure. 8.4.1 Advantages of Cloud Integration • Enhancing AI services: Cloud computing provides a wide range of AI services that can be used to...
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Publisher: Apress
Publish Year: 2025
Language: English
Pages: 345
File Format: PDF
File Size: 7.9 MB
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