Serverless Computing : AWS Lambda, a serverless computing service, was gaining popularity for its ability to run code without provisioning or managing servers. Serverless architecture has become increasingly important for building scalable and cost-effective applications.
Machine Learning and AI : AWS continues to invest heavily in machine learning and artificial intelligence services. AWS SageMaker, Amazon Rekognition, and Amazon Comprehend are some of the services enabling developers to build ML/AI-powered applications.
Containers and Kubernetes : AWS offers services like Amazon Elastic Kubernetes Service (EKS) and Amazon Elastic Container Service (ECS) for container orchestration. Containerization and Kubernetes were widely adopted for building and deploying applications.
Hybrid and Multi-Cloud Solutions : AWS Outposts and AWS Snow Family services address the need for hybrid and multi-cloud deployments. Organizations were increasingly looking to integrate on-premises infrastructure with AWS's cloud services . AWS Course in Pune
Data Analytics and Big Data : AWS has a robust suite of data analytics and big data services, including Amazon Redshift, Amazon EMR, and Amazon QuickSight. Businesses were leveraging these services to analyze large datasets and gain insights.
Edge Computing : AWS IoT Greengrass and AWS Wavelength were among the services enabling edge computing solutions. Edge computing was gaining traction for applications requiring low latency and real-time processing.
Security and Compliance : With an increasing focus on cybersecurity, AWS was continuously enhancing its security and compliance offerings. AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), and AWS Security Hub were essential tools for securing cloud environments.
DevOps and Continuous Integration/Continuous Deployment (CI/CD) : AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy facilitate the implementation of DevOps practices and CI/CD pipelines for efficient software development and deployment.
Serverless Containers : Services like AWS Fargate combine the benefits of serverless and container technologies, allowing users to run containers without managing the underlying infrastructure.
Edge AI : AI and machine learning were being extended to the edge, allowing devices to process data locally. AWS IoT services and edge AI capabilities were enabling edge devices to make intelligent decisions.
