Blogs - Cloud
Interservice Communication for Microservices
HISTORY Throughout history, communication methods have evolved from using pigeons for messages in the Middle
Orchestrate microservices and multi-container applications for high scalability and availability
Applications that are prepared for production require orchestrators, particularly if they are deployed across several
Architecting Container and Microservice-Based Applications
Introduction The recent past has witnessed a significant transformation of software development life cycle. Architecting
Fine-tuning Pre-trained Models with Azure and OpenAI
In the dynamic field of artificial intelligence (AI), fine-tuning pre-trained models is essential for customizing
Containerized Data Processing for IoT: Orchestrating Microservices at the Edge
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.
Overview of Microservices Architecture
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.
A Journey Towards Application Modernization
Introduction In this rapidly progressing digital landscape, staying ahead demands more than just progress at
AKS Improving Microservices through Jaeger and Cassandra
In the ever-evolving landscape of microservices architecture, organizations face significant challenges in ensuring the seamless
Monitoring AKS with Prometheus and Grafana
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.