Atlas Well-Architected Framework
Learn best practices and guiding principles for confidently designing and managing MongoDB Atlas, ensuring it meets enterprise requirements for powering large-scale workloads.
5 Pillars of Atlas Data Architecture
The Atlas well-architected framework provides best practices and architectural guidance on five key pillars: security, operational efficiency, performance, reliability, and cost optimization. These pillars are built for architects to help inform decisions about designing secure, robust infrastructure for high-performance enterprise applications at scale.
Security
Enforce robust security guardrails for developers to ensure data integrity by securing sensitive information and enabling appropriate access for authorized users. Key capabilities include implementing data authentication, user permissions, Queryable Encryption, maintaining compliance, and auditing.
Operational efficiency
Automate database infrastructure for efficient, consistent deployments and gain observability insights with MongoDB Atlas to boost operational efficiency. Key features include automating deployment and management of Atlas resources through infrastructure as code (IaC), Kubernetes workflows, Atlas CLI, and Atlas Admin API integration.
Cost optimization
Enhance resource visibility and optimize settings for cost effectiveness while ensuring high performance and scalability. Key capabilities include implementing dynamic scaling, cluster pausing capabilities, automated performance suggestions, and backup options with adjustable frequency and retention.