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NoSQL databases are among the key technologies that meet the needs of modern applications thanks to their flexible data models and high scalability. They offer performance advantages in high-traffic systems such as Big Data, real-time analytics, IoT, e-commerce, and social media. In this article, you can find essential information about what NoSQL is, why it was developed, when it is preferred, how it differs from SQL, the main database types, and commonly used solutions.

Kotlin is a programming language designed to meet modern software development needs, offering Java compatibility and improved developer productivity. It has a wide range of use cases, from mobile applications to microservices architectures. Thanks to advantages such as null safety, coroutine support, and concise syntax, it helps developers build safer and more maintainable applications. Particularly in microservices-based systems, it offers significant advantages in terms of maintainability, performance, and development speed.

JSON is a lightweight and readable data format that facilitates data exchange in modern software development processes. It is widely used in API integrations, cloud systems, mobile applications, and web services. JSON files enable structured data to be stored while helping different systems communicate through a common language. Conversion, viewing, and editing tools allow developers to manage data more efficiently. With these features, JSON is one of the fundamental building blocks of today's software ecosystem.

Java Runtime Environment (JRE), which enables Java applications to run seamlessly across different operating systems, is one of the core components of the Java ecosystem. In this article, you can explore in detail what JRE is, how it works, and which tasks it performs when running Java applications. You will also find the differences between JRE, JDK, and JVM, its role in cloud-based Java applications, the advantages it offers, and its common use cases. Start reading this comprehensive introductory guide to better understand Java architecture and how applications work!

Fine-tuning is a method that enables pre-trained artificial intelligence models to be customized for specific tasks and use cases. Although this method is not necessary for every project, it can be considered when model behavior, output format, or performance in specific tasks needs to be improved. For a successful process, high-quality data, the right model selection, performance measurement, security controls, and cost analysis should be considered together. This enables the development of more controlled and consistent artificial intelligence applications in software projects. Read on for more details.

Container Orchestration is an important infrastructure approach that automates the deployment, scaling, and management of container-based applications. Platforms such as Kubernetes, Amazon Web Services (AWS), and Microsoft Azure offer different solutions for this process. In this article, you can explore in detail how Container Orchestration works, its role in DevOps processes, the tools used, and its advantages in developing scalable applications.

MLOps is an approach that standardizes the development, deployment, and management of machine learning models. In this article, you can learn how MLOps works, explore its core components, CI/CD/CT processes, the advantages it offers businesses, and how it differs from DevOps, as well as discover why AI models can be scaled more efficiently in cloud environments.

The high computing power required for fine-tuning and AI training processes can be provided more quickly and efficiently through scalable infrastructures such as GPU as a Service. This makes it possible to both reduce model training time and optimize resource utilization, resulting in a more stable process. Read our article for more details.

Copilot is a family of generative AI-powered assistants and features developed by Microsoft. It enhances productivity across areas such as content creation, data analysis, software development, and team collaboration. Microsoft 365 Copilot integrates with Microsoft 365 applications and helps users perform a variety of tasks through natural language prompts. By enabling organizations to save time, improve operational efficiency, and accelerate decision-making processes, it supports digital transformation. Read our article for more details.