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AWS Partner Central agents now accelerates opportunity creation - devamazonaws.blogspot.com

Today, AWS announces that the AWS Partner Central agents now accelerate opportunity creation through natural language conversation. AWS Partner Central agents , released on March 16, 2026, are AI-powered capabilities built on Amazon Bedrock AgentCore that help partners surface pipeline insights, advance deals with next-step recommendations, and identify funding opportunities. With this update, partners create opportunities through a short conversation instead of completing a multi-step form, so partner sales teams spend less time on data entry and more time selling. Partners describe a deal in natural language, upload meeting notes, proposals, or call transcripts (PDF, DOCX, Excel, TXT), or clone an existing opportunity. The agent extracts the information, enriches customer details, and recommends improvements — such as adding missing context, correcting field values, or strengthening the business problem statement — so partners submit higher-quality opportunities, improve pipeline h...

Amazon CloudWatch Logs announces increased query result limits - devamazonaws.blogspot.com

Amazon CloudWatch Logs now supports retrieving up to 100,000 results using the Logs Insights query language. Customers can specify the limit in their query using the LIMIT command. Previously, customers were limited to 10,000 results and had to split their queries into smaller time ranges to retrieve all results. With this launch, customers can view a larger set of results and use existing features such as patterns, visualization, and export on the full 100,000 result set. The GetQueryResults API has also been updated to support pagination; each invocation can return up to 10,000 results along with a token that can be used to fetch the next set of results. The increased query result limits are available in all commercial AWS regions. You can execute queries and view up to 100,000 results using the Amazon CloudWatch console, AWS CLI, AWS CDK, and AWS SDKs. To learn more, see the Amazon CloudWatch Logs documentation . Post Updated on May 15, 2026 at 10:00PM

[MS] Advanced Shader Delivery expands Public Preview with AMD - devamazonaws.blogspot.com

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Last October, we released Advanced Shader Delivery (ASD) on the ROG Xbox Ally handhelds. Advanced Shader Delivery addresses one of the most frustrating challenges for PC players today – long load times and disruptive stuttering during a game’s first launch. The feature works by delivering precompiled shaders to your game at download time, reducing load time by up to 90% and eliminating shader stutter. Since the launch of the ROG Xbox Ally handhelds, we’ve partnered with AMD to invest in and improve the experience of players on PC. Today, Advanced Shader Delivery expands beyond ROG Xbox Ally handhelds to Windows 11 PCs with discrete GPUs and gaming laptop integrated GPUs from AMD. Players can take advantage of this preview by joining Xbox Insiders . This expansion includes Forza Horizon 6, which showcases the advantage of ASD by dramatically improving loading times by 95%. We partnered closely with the team behind Forza Horizon 6 to give more players the advantage of ASD on day one. ...

[MS] The Coding Harness Behind GitHub Copilot in VS Code - devamazonaws.blogspot.com

Learn why the coding harness around GitHub Copilot in VS Code matters as models, tools, agents, and providers evolve. Read the full article Post Updated on May 15, 2026 at 01:00AM Thanks for reading from devamazonaws.blogspot.com

Amazon EC2 X8aedz instances are now available in Europe (Ireland) region - devamazonaws.blogspot.com

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8aedz instances are available in Europe (Ireland) region. These instances are powered by 5th Gen AMD EPYC processors (formerly code named Turin). These instances offer the highest maximum CPU frequency, 5GHz in the cloud. X8aedz instances are built using the latest sixth generation  AWS Nitro Cards  and are ideal for electronic design automation (EDA) workloads such as physical layout and physical verification jobs, and relational databases that benefit from high single-threaded processor performance and a large memory footprint. The combination of 5 GHz processors and local NVMe storage enables faster processing of memory-intensive backend EDA workloads such as floor planning, logic placement, clock tree synthesis (CTS), routing, and power/signal integrity analysis. X8aedz instances feature a 32:1 ratio of memory to vCPU and are available in 8 sizes ranging from 2 to 96 vCPUs with 64 to 3,072 GiB of memory, i...

[MS] Exponential backoff and circuit breaker for Service Bus-triggered Azure Functions - devamazonaws.blogspot.com

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Modern distributed systems fail in partial, uneven ways. A downstream API slows down, a database starts timing out, or a burst of messages arrives faster than a dependency can absorb. If every Azure Function instance retries immediately and indefinitely, the system creates its own backpressure and turns a transient fault into a wider outage. Two patterns are especially useful for controlling that failure mode: Exponential backoff increases the delay between retries so a dependency has time to recover. Circuit breaker stops repeated calls to an unhealthy dependency and fails fast until the dependency is likely to be healthy again. Used together, these patterns reduce retry storms, protect downstream systems, and give your Functions app a controlled way to degrade under stress. Reference architecture The queue absorbs burst traffic, the Functions app decides whether the dependency is safe to call, and failed work is either delayed or isolated instead of being retried immedi...

Amazon SageMaker Data Agent now available for IAM Identity Center domains - devamazonaws.blogspot.com

Amazon SageMaker Data Agent is now available in SageMaker Unified Studio domains configured with IAM Identity Center. Data Agent extends its AI-powered capabilities to help data analysts and engineers streamline their analytics workflows across both SageMaker notebooks and Query Editor environments, eliminating the need to manually write complex SQL joins, aggregations, and Python code. With Data Agent, you can describe your analysis goals in plain English and receive working Python or SQL code tailored to your connected data sources, including Amazon Athena, Amazon Redshift, Amazon S3, and AWS Glue Data Catalog. The agent maintains conversational context across notebook cells, selected tables, and query history, proposing step-by-step plans before generating code. Use it to calculate quarterly revenue growth rates, generate visualizations, transform DataFrames, or optimize query performance—all through natural language interaction. The "Fix with AI" feature provides intell...