In the dynamic field of artificial intelligence (AI), fine-tuning pre-trained models is essential for customizing

Internet of Things (IoT) encompasses an imbricate nexus where quotidian instruments, cunningly wrought with arcane sensors and imbued with the intangible essence of software. This interconnectivity enables these objects to collect and share data, facilitating real-time monitoring, management, and improvement of various systems and processes. By leveraging IoT technology, businesses and individuals can achieve greater efficiency, automation, and enhanced decision-making capabilities, transforming the way we interact with the world around us.

Designing microservices architecture with the principles of the 12 Factor App is a widely adopted approach to building scalable, maintainable, and resilient systems. The 12 Factor App methodology provides a set of best practices for developing software-as-a-service (SaaS) applications, emphasizing factors like declarative formats, isolation, and portability.

Introduction  In this rapidly progressing digital landscape, staying ahead demands more than just progress at

Monitoring tools provided by AKS currently provide insights into cluster performance, but they lack the flexibility to create customized dashboards and visualizations. In the absence of a robust monitoring system such as Grafana, troubleshooting and identifying performance bottlenecks, resource utilization issues, or abnormal behavior in the cluster becomes a time-consuming and complex task.

This blog explores different design options, including monolith applications, microservices, and three-tier architecture. It also delves into disaster recovery strategies and emphasizes the importance of security measures such as authentication, authorization, firewall, and data encryption. Gain insights into designing robust and secure systems for your projects.

Based on a micro survey conducted by CNCF, among the 253 survey participants, 70% have deployed or are presently utilizing a service mesh in production or development settings. Moreover, 19% of the respondents are currently in the evaluation phase of a service mesh solution.

It’s an irrefutable fact that many companies are moving from on-premises/physical servers to the cloud. This transition depends on various factors, such as the nature of the business, its strategies, specific needs, and operational practices.

Cloud computing is essential for the effectiveness of the Internet of Things (IoT) as it provides a robust infrastructure for streamlined data processing, storage, and access. Microsoft has introduced Azure IoT as a cloud platform, which is part of its Azure cloud computing portfolio. This platform has been specifically designed for IoT scenarios to help organizations collect, store, and analyze data from IoT devices.