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Thanks to all who joined us to the fifth AWS PI Day 14. The sence of its foundation in 2021, resembles Amazon Simple Storage Service (Amazon S3) 15th anniversary, AWS PI Day has grown to the flagship that emphasizes the transformation power of cloud technologies in data management, and AI and AI.
This year’s virtual event was a depth discussion with Amazon Web Services (AWS) products, which show our ongoing innovation in helping customers to create robust data foundations for analysts and workload AI.
Evoke a living event? On the event page you still access all content on request. Whether you are developing data lakes, training AI models, creating generative AI applications or optimizing analytical workload, shared knowledge will help you maximize your data.
Start of Last Week
Here are a few launches that captivated me during the previous weekend.
Amazon Bedrock is now more supporting cooperation with the availability of cooperation with more agents in Amazon Bedrock, you can create specialized networks that communicate and coordinate under the guidance of a supervisor agent. You can create, deploy and manage AI agents, which also work to perform complex multi -stage workflows effectively.
Avilabilty fully managed by Deepseek-R1 in Amazon Bedrock-Ws is the first cloud service provider (CSP) to supply Deepseek-R1 as a fully managed, generally available model. Use DeepSeEK-R1 capabilities for your AI generative applications with one API through this fully managed service in Amazon Bedrock.
Amazon Sagemaker Unified Studio is now generally available – now you can use Amazon Sagemaker Unified Studio as your individual AI data and environment, where you can find and access all data of your organization and work with the best tools for your specific needs. With the new simplified authorization management, you can easily bring your existing AWS sources to the Unified Studio. You will be able to find, approach and ask your organization and AI assets and work with your team to safely create and share your AI analysts and artifacts – data and models into generative AI applications.
Amazon Bedrock capability, which is now generally available in Amazon Sagemaker Unified Studio – Sagemaker Unified Studio brings selected capacity from Amazon Bedrock to Sagemaker. Now you can quickly prototype, customize and share generative AI applications using Foundation models (FMS) and advanced features such as Amazon Bedrock, Amazon Bedrock Guardrails, Bedrock Agans and Amazon Bedrock flows that make custom -tailored solutions.
Amazon S3 integration with Amazon Sagemaker Lake is now generally available S3 Amazon S3 tables, which are now integrated with Amazon Sagemaker Lake, which makes it easier to question and connect data with data in Amazon Redshift data lakes. S3 tables deliver the first cloud object stores with built -in Apache Iceberg support.
The Amazon S3 tables now support operations and queries directly from the S3 console using Amazon Athena – Amazon S3 adds support and questions in the S3 console. With this new feature, you can now create a table, fill it with data and ask it directly from the S3 console using Amazon Athena, making it easier to start and analyze data in the S3 bucket.
Amazon S3 reduces Prices for marking S3 objects by 35% – Amazon S3 reduces prices for marking S3 objects by 35% in all AWS regions to $ 0.0065 to 10,000 marks per month. Object labels are key values applied to S3 objects that can be created, updated or deleted at any time during the object’s life.
Patterns without a server available in Visual Studio – an extensive application library for applications without a server is now directly to the visual code Studio (VS code) IDE, which makes it easier for developers to create applications without servers. This integration eliminates the need to switch between your development surroundings and external sources when creating architects without servers from ENA for browsing, searching and implementing pre -created patterns without servers directly in the ID code.
Amplify hosting notifications of promoting chamfer protection – AWS Amplify Hosting now offers chamfer protection, a function that guarantees consistency in development. This feature ensures that the freezing request will always be directed to the right version of the back server – eliminating chamfer and deployment more reliable.
The Amazon Route 53 Traffic Flow introduces a new visual editor editor to improve DNS – Amazon Route 53 Traffic Flow now offers an improved user interface for improved DNS operating policies. With this version, you can easily understand and change the way the road between users and endpoints is using the new Visual Editor functions.
From community.As
Here are some of my favorite community posts. Create your AWS Builder ID and start sharing your tips and connect with other builders. Your builder’s ID is a universal login credit that gives you access, outside AWS Management, AWS tools and resources, including more than 600 free training races, communities and developers features such as Amazon Q Developer.
SQL Server on EC2 SWS Systems Manager (Greg Vinton) -Tate Wizard explains how to use ASEC2-RESTORSQLSERVATABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABABASEWITV Compute Cloud (Amazon EC2).
Safe Amazon ECS with Azure Devops (Abhishek Nanda) – Create and deploy containerized applications on Amazon Elastic Kubernets (Amazon EKS) using Azure Devops.
Connect your favorite LLM customer to Bedrock (Qinjie Zhang) – it is common to use desktop applications such as revenge, chatbox AI, LM studio to simplify the use of large languages (LLM). This blog provides a step-bey-ascep guide about how you can attach your favorite LLM customers to Amazon Bedrock.
From PHP to Python using Amazon Q Developer (Ricardo Sueiras) – in this blog post, Ricardo will present how to use Amazon Q Developer CL to the refractor code from one programming language to another.
Upcoming AWS events
Check your calendars and register for these upcoming AWS events:
Community days AWS are connected by community conferences that contain technical discussions, workshops and practical laboratories led by AWS and industry leaders from all over the world: Milan, Italy (April 2), Bay Area Security Edition (April 4), Timișoara, Romania 10) and Czech Republic (April 29).
AWS Innonate: Generative AI + Data – Join a free online conference focusing on generative AI and Latin data innovation in Latin America on April.
AWS Summits – AWS Summit Season is coming! Join free online and personal events that connect the Cloud Computing community to join, cooperate and learn about AWS. Sign up in your nearest town: Paris (April 9), Amsterdam (April 16), London (April 30) and Poland (May 5).
AWS Re: Inforce (16 – 18 June) – Our annual educational event devoted to all things cloud security in Philadelphia, PA. Registration opens in March, so be ready to join more than 5,000 security builders and leaders.
AWS Devdays are free of charge, technical events where developers can learn about some of the hottest topics in cloud computing. DevDays offered practical workshops, technical sessions, live demonstrations and networks with AWS technical experts and your peers. Sign up for access to AWS Devys.
That’s all for this week. See the next Monday for the next week round!
– a pig
This post is part of our weekly Roundup series. Look every week to get a quick rounding of interests and notifications from AWS!
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