DATA
Data, which corresponds to the term "veri" in Turkish, is defined in its most...
DATA LEAKAGE
Data leakage is the exposure or unauthorized transfer of sensitive...
DATA DOMAIN BACKUP APPLIANCE
Data domain backup appliance is a hardware device equipped with backup management...
DATA FABRIC
What Does Data Fabric Mean? Data Fabric is a modern data management approach...
DATABASE
A database, translated into Turkish as veri tabanı, is an electronic system...
DDOS
DDoS DDoS, short for Distributed Denial of Service, refers to a...
DEVOPS
DevOps is a set of practices that automates the processes between software...
DEVTEST
Development Testing (DevTest) is an approach that integrates development and...
DIGITAL TWIN
Digital Twin Digital twin is a virtual representation of a physical object,...
DOCKER
Docker is an open-source environment of product containers. These containers...
DOCKER COMPOSE
Docker Compose is a tool for defining and running multi-container Docker...
DRAAS
Disaster recovery as a Service (DRaaS) is a cloud computing and backup service...
SERVICES AND SOLUTIONS
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Blog content that may be of interest to you
The Role of LLMOps in Enterprise Operations
LLMOps helps manage the development, testing, deployment, monitoring, and improvement processes of artificial intelligence applications built with large language models. In enterprise environments, it enables model performance, cost, security, data management, and user experience to be monitored together. Unlike the MLOps approach, it focuses on the unique requirements of LLMs. This enables companies to scale artificial intelligence projects in a more structured, measurable, secure, and sustainable way. Read on for more details.
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Cloud or On-Premise? How to Make the Right Choice for AI Infrastructure
When choosing between cloud and on-premise infrastructure for artificial intelligence projects, organizations should consider not only cost but also data security, computing power, scalability, and technical team capacity. While cloud solutions provide flexible resource usage and rapid deployment, on-premise infrastructures can offer greater control over data and systems. In this article, we examine the advantages and cost differences of both approaches, which types of businesses they may be more suitable for, and the key factors to consider when selecting AI infrastructure.
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When Should GPU Rental Be Preferred for Artificial Intelligence Projects?
GPU rental can be preferred to access the high computing power required for artificial intelligence model training, fine-tuning, inference, and temporary AI projects. This method, which can reduce high hardware investments, also enables resources to be scaled according to demand. It can provide advantages in terms of cost and operational flexibility, particularly for projects with temporary GPU requirements. Start reading now for further details!
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What Should You Consider When Choosing a Vector Database?
Vector databases provide important infrastructure for semantic search and similarity queries in artificial intelligence applications. In this article, we cover how vector databases work, how they compare with vector indexes, their advantages, and the performance, scalability, security, and integration considerations to evaluate during the selection process.
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What Is Data Visualization, What Are Its Steps, and Why Is It Important?
Data visualization is an analytical method that makes complex datasets easier to understand through charts, tables, maps, and other visuals. In this article, you can explore in detail what data visualization is, its fundamental principles, its implementation stages, and why it is important in the business world. You can also learn about widely used data visualization tools such as Google Looker Studio, Power BI, Tableau, and Python, what they are used for, and how the right visualization techniques contribute to decision-making processes. Start reading now!
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What Is Rancher and How Does It Simplify Kubernetes Management?
Rancher is an open-source platform that enables centralized management of Kubernetes clusters. By bringing multi-cluster management, user authorization, security policies, and monitoring processes together in a single panel, it improves operational efficiency. It does not replace Kubernetes; instead, it operates as a management layer that complements it. It reduces complexity, particularly in hybrid and multi-cloud environments. Rancher is a powerful solution that makes Kubernetes infrastructures easier to manage for developers and operations teams.
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