✅After explored the foundational aspects of AWS. Now, let's get deeper understanding of Advanced AWS Concepts.
➡️High Availability and Disaster Recovery: Designing fault-tolerant architectures that minimize downtime and ensure business continuity. Services like Auto Scaling, Elastic Load Balancing, and Route 53 for building resilient applications.
➡️Serverless Computing: Using AWS Lambda the code can run without worrying about server management, scaling, or provisioning.
➡️Containers and Microservices:
Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) to build modular, scalable applications. Microservices architecture allows for independent development and deployment of smaller services within a larger application.
➡️AWS CloudFormation: Automate infrastructure provisioning and management with CloudFormation. Define your infrastructure as code (IaC) for consistent and repeatable deployments.
➡️AWS Security Best Practices:
Implementing advanced techniques like Identity and Access Management (IAM) roles, fine-grained access control, and encryption at rest and in transit.
➡️Data Analytics and Machine Learning:
Amazon Redshift, Amazon EMR, and Amazon SageMaker to unlock insights from your data and build intelligent applications.
➡️Optimizing Your Cloud Journey
Beyond these core concepts, AWS offers ample of advanced services that cater to specific needs. Here are some areas for further exploration:
➡️AWS Direct Connect: Establish a dedicated network connection between your on-premises infrastructure and the AWS cloud for high-throughput, low-latency data transfer.
➡️AWS Well-Architected Framework: Follow AWS' best practices framework to design secure, high-performing, cost-optimized, and reliable cloud architectures.
➡️AWS Serverless Application Model (SAM): Simplify serverless development and deployment with SAM templates that define your application's resources and configuration.
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