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

In the ever-evolving landscape of microservices architecture, organizations face significant challenges in ensuring the seamless

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.

In today’s fast-paced business landscape, digital transformation has become an omnipresent reality cutting across industries. Enterprises are increasingly realizing the immense potential of leveraging data, but simply capturing and storing data is not enough to fully unlock its value. The real power lies in seamlessly integrating data into every aspect from development to delivering value to your customer, creating a dynamic Intelligent Ecosystem. Forward-thinking executives are focusing on prioritizing digital technologies that power digital transformation trends to empower enterprises with the competitiveness needed in this evolving business landscape.