What is new in AWS? 10 recent updates you need to know about
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This September has seen pivotal advancements in cloud computing across AWS Platform, reflecting ongoing efforts to enhance performance, security, and integration capabilities within their respective ecosystem.? The cloud has become the backbone of modern IT, with Gartner predicting 95% of new workloads in the cloud by 2025. Businesses must adapt to leverage the cloud’s flexibility. A clear understanding of cloud computing trends that will drive the industry will prepare you to adapt and innovate in constant change. These trends range from the adoption of hybrid and multi-cloud approaches to the integration of edge computing, the emergence of real-time cloud infrastructure, and the critical focus on cloud security
This article provides a concise look at the notable AWS updates that have been rolled-out in the past month. These updates not only highlight current trends but also offer a glimpse into the future direction of cloud technologies. Let’s dive into these developments and their expected impact on the global cloud industry!
Llama 3.2 generative AI models are now available in Amazon Bedrock
With 10x growth since 2023, Llama is the leading engine of AI innovation, these state-of-the-art models, developed by Meta, are now available via Amazon Bedrock. Tech enthusiasts and AI developers can now experiment with these high-performance models directly within AWS, enabling them to build sophisticated AI applications like language models, virtual assistants, and creative content generation tools to supercharge customer experiences.? By leveraging Amazon Bedrock, users can deploy and scale these models across diverse workloads, making it simpler to test, iterate, and roll them out.
AWS announced Amazon MemoryDB for Valkey
Amazon MemoryDB now supports Valkey, an open-source, high-performance key-value datastore that is a drop-in replacement for Redis OSS. MemoryDB for Valkey is priced 30% lower than MemoryDBV for RedisOSS and offers free data ingestion up to 10TB a month.?
For entrepreneurs scaling their platforms, this means you can now handle more users and data-intensive operations without ballooning infrastructure costs. The feature helps you extract maximum performance from your memory databases, ensuring low latency, faster response times, and overall smoother user experiences.
Amazon SageMaker Studio now supports auto-shutdown of idle apps
Administrators can configure idle shutdown time at the domain or user profile level, it is very important, especially when working across multiple experiments or large datasets. This feature lets you avoid charges for inactive instances, helping businesses save on unnecessary cloud expenses without sacrificing the agility and flexibility of SageMaker Studio's machine learning (ML) environment.
Amazon Announced general availability of Console to Code to generate code
Console to code a new feature from AWS that allows generating code from actions performed in the AWS Management Console. It is powered by Amazon Q Developer and you can now easily convert console actions into infrastructure-as-code (IaC) templates, enabling automation, scalability, and better version control for your AWS environments.
For entrepreneurs building cloud-native startups, this means rapid prototyping and deployment while maintaining best practices in infrastructure management. For tech enthusiasts, "Console to Code" provides a seamless learning path to mastering IaC. By generating code from your console interactions, you can see how AWS resources are structured programmatically, making it easier to dive into automation and DevOps practices.?
AWS Lambda console adds key insights about Lambda functions
AWS lambda console that provides key insights about Lambda functions is now using a built-in Amazon CloudWatch Metrics insights dashboard. This feature provides a centralized view of critical Lambda function metrics such as performance, errors, and resource utilization, all accessible directly from the Lambda console.
For entrepreneurs running serverless applications, this integration streamlines operational efficiency by offering real-time visibility into the health of your functions. This helps reduce downtime, improve customer experiences, and optimize costs by quickly identifying resource bottlenecks.
AWS Parallel Computing Service to leverage High-Performance Computing (HPC) at virtually any scale.?
This new service allows users to run complex, compute-intensive workloads across a wide range of industries—from scientific research to finance, manufacturing, and media—without the traditional limitations of on-premises infrastructure.
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For entrepreneurs, especially in sectors where advanced simulations, analytics, or big data processing are critical, the AWS Parallel Computing Service gives an opportunity to no longer invest heavily in expensive, high-maintenance infrastructure. Instead, they can tap into AWS's vast compute resources on-demand, paying only for what you use, also it provides the elasticity to scale compute resources up or down as needed, from small development tests to massive production-scale workloads.
The Amazon Kinesis Data Firehose update now supports delivering data streams directly to Apache Iceberg format tables in Amazon S3
This new capability simplifies the process of storing and managing large-scale streaming data in an open table format, ideal for real-time analytics, machine learning, and reporting.
For entrepreneurs leveraging big data, this update reduces the complexity and cost of managing data pipelines. By delivering streams directly to Apache Iceberg tables on S3, businesses can optimize storage and retrieval, making it easier to handle massive datasets with minimal infrastructure overhead. Data engineers can benefit from Iceberg’s advanced features, such as better query performance and support for both batch and streaming data workloads.?
The launch of the AWS re:Post Agent, a generative AI-powered virtual assistant
Powered by Amazon Bedrock, a fully managed service for foundation models, re:Post Agent leverages high-quality AWS content to deliver more complete, actionable, and referenced answers to help accelerate your AWS development.The answers provided by re:Post Agent undergo review and validation by human experts, fostering a collaborative process that continuously builds collective wisdom.
AWS CodePipeline introduces new general purpose compute action
It simplifies continuous integration and delivery (CI/CD) by enabling direct execution of shell commands within the pipeline, removing the need for separate CodeBuild projects. For entrepreneurs and tech enthusiasts, this innovation allows streamlined automation, optimizing workflows without the overhead of creating additional compute resources. Users can now efficiently run AWS CLI commands, third-party tools, or custom scripts in a secure environment, accelerating deployment speeds and minimizing costs
The release of Amazon EKS Distro with Kubernetes version 1.31
This new version enhances the capabilities of Amazon EKS Distro, ensuring that users can build, operate, and manage Kubernetes clusters in a secure and consistent manner, whether on AWS or in their own data centers.
For entrepreneurs, the ability to deploy Kubernetes clusters that align with Amazon EKS helps businesses ensure compatibility and streamline operations across hybrid environments, making it easier to innovate and scale applications without worrying about underlying infrastructure complexities.
Tech enthusiasts and developers will appreciate the improvements that come with Kubernetes 1.31, which include better resource management, enhanced security features, and updates to existing APIs. This allows for more efficient application deployment and management, making it easier to adopt best practices in containerization.?
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1 个月Awesome article! I'm impressed by the advancements in cloud computing. It's clear that the cloud is the future of IT.