International Conference on Cloud Native Applications and Microservices

ICCNA

18th Jun – 19th Jun 2027 Athens, Greece

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Registration Summary

Conference ICCNA

Date 18th Jun – 19th Jun 2027

Location Athens, Greece

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

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Total Payable USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Advancements in Cloud-Native Application Development +

This track focuses on the latest methodologies and tools for developing cloud-native applications. Emphasis will be placed on best practices in microservices architecture and containerization.

SDG 9 SDG 12

02 Machine Learning Techniques for Predictive Modeling +

This session explores various machine learning techniques, including supervised and unsupervised learning, for predictive modeling in cloud environments. Participants will discuss the implications of these techniques on system performance and reliability.

SDG 8 SDG 9

03 Deep Learning Applications in Cloud-Native Systems +

This track examines the integration of deep learning algorithms within cloud-native applications. Discussions will cover challenges and solutions related to model training, deployment, and scalability.

SDG 9 SDG 12

04 Anomaly Detection in Microservices Architectures +

This session addresses the critical issue of anomaly detection within microservices architectures. Participants will share innovative approaches and tools for identifying and mitigating anomalies in real-time.

SDG 16

05 Feature Extraction Techniques for Industrial IoT +

This track delves into feature extraction methodologies tailored for industrial IoT applications. The focus will be on enhancing data quality and relevance for improved predictive maintenance outcomes.

SDG 9 SDG 12

06 Workflow Automation in Cloud-Native Environments +

This session highlights the role of workflow automation in optimizing cloud-native applications. Discussions will include tools and frameworks that facilitate seamless automation and integration.

SDG 9 SDG 12

07 System Monitoring and Resource Allocation Strategies +

This track focuses on effective system monitoring techniques and resource allocation strategies in cloud environments. Participants will explore tools and methodologies that enhance operational efficiency.

SDG 9 SDG 12

08 DevOps Practices for Cloud-Native Development +

This session investigates the intersection of DevOps practices and cloud-native application development. Emphasis will be placed on continuous integration, delivery, and deployment in microservices architectures.

SDG 9 SDG 12

09 Process Optimization in Cloud Computing +

This track examines strategies for process optimization within cloud computing frameworks. Participants will discuss case studies and methodologies that lead to enhanced performance and reduced costs.

SDG 8 SDG 9

10 Digital Twin Technologies in Cloud-Native Applications +

This session explores the application of digital twin technologies in cloud-native environments. Discussions will focus on their role in improving system modeling and predictive analytics.

SDG 9 SDG 12

11 Model Evaluation and Performance Metrics in Machine Learning +

This track addresses the critical aspects of model evaluation and performance metrics in machine learning applications. Participants will share insights on best practices for ensuring model accuracy and reliability in cloud-native systems.

SDG 9 SDG 12