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Software Development
Amazon SNS, Amazon SQS, Amazon ECR, Amazon S3, Amazon CloudWatch, Amazon EKS
Enhanced Scalability and Security with AWS Microservices Architecture for Binocs
Binocs is a pioneer in AI-enabled portfolio tracking and workflow management systems for cryptocurrency, and it embarked on a transformative journey to migrate its infrastructure from Google Cloud Platform (GCP) to Amazon Web Services (AWS). It improves operational efficiency and risk management for private credit funds through reliable data processing and advanced analytics.
Better Security posture
Augmented visibility
Efficient management
The challenges on GCP included misalignment with business goals, scalability limitations, inefficient infrastructure management, security concerns needing better access control and monitoring, integration issues with third-party tools, cost management challenges, lack of advanced AI and machine learning capabilities, inadequate support, performance bottlenecks during peak usage, and limited disaster recovery options.
• CloudExperts conducted a thorough assessment of Binocs’ current infrastructure on GCP to understand application dependencies and process flows.
• A new architecture diagram was proposed for containerization, microservices deployment, high availability, and EFK monitoring on AWS. The proposed architecture was discussed with Binocs to ensure alignment with their business needs and goals.
• The environment was segregated into Stage and Prod as per DevOps best practices to streamline development, testing, and deployment processes.
• Custom AWS IAM roles were configured for individuals and services to manage authorization and authentication for AWS services securely.
• A custom Amazon VPC design was implemented, considering security best practices and network requirements, to provide a secure and isolated environment for Binocs’ applications.
• Amazon Elastic Kubernetes Service (EKS) was set up for hosting microservices with high availability and auto-scaling capabilities across different environments.
• Connectivity between the Amazon EKS cluster and databases was established, ensuring secure connections and adhering to security best practices.
• The EFK stack (Elasticsearch, Fluentd, Kibana) was set up for centralized logging and monitoring. Elasticsearch clusters were deployed for log aggregation, Fluentd was configured for log collection, and Kibana was deployed for log visualization and analysis.
• A robust CI/CD pipeline was implemented using Bitbucket and ArgoCD for automated application deployment with rollback strategies in place
Binocs’ infrastructure transitioned seamlessly from GCP to AWS, enhancing operational efficiency, security, and visibility through advanced AWS features, AWS IAM configurations, microservices, and EFK stack implementation.
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