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AWS announces general availability of AWS Interconnect - multicloud - devamazonaws.blogspot.com

AWS announces general availability (GA) of AWS Interconnect - multicloud, providing simple, resilient, high-speed private connections to other cloud service providers (CSPs). With GA comes Google Cloud as the first launch partner, with Microsoft Azure coming later in 2026. Customers have been adopting multicloud strategies while migrating more applications to the cloud. They do so for many reasons including interoperability requirements, the freedom to choose technology that best suits their needs, and the ability to build and deploy applications on any environment with greater ease and speed. Previously, when interconnecting workloads across multiple cloud providers, customers had to go the route of a ‘do-it-yourself’ multicloud approach, leading to complexities of managing global multi-layered networks at scale. AWS Interconnect - multicloud is the first purpose-built product of its kind and a new way of how clouds connect and talk to each other. Simplifying connectivity into AWS, I...
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[MS] DevOps Playbook for the Agentic Era - devamazonaws.blogspot.com

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Practices, Principles, and Strategic Direction Software delivery has entered a new phase. AI agents are no longer confined to autocomplete suggestions in the editor. They are opening pull requests, generating code across multiple files, proposing infrastructure changes, responding to issues with working implementations, and executing multi-step engineering tasks with minimal human intervention. Tools like GitHub Copilot Cloud Agent (coding agent) represent the leading edge of a shift that is transforming how teams design, build, test, and ship software. This is not a future scenario. It is happening now, across organizations of every size and maturity level. And it is exposing a fundamental truth: the DevOps practices, pipeline architectures, collaboration patterns, and productivity frameworks that worked in a human-only world are not sufficient for a world where a growing percentage of commits, pull requests, and code reviews involve non-human contributors. This post is a strategic ...
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Amazon EC2 P6-B300 instances are now available in the AWS GovCloud (US-East) Region - devamazonaws.blogspot.com

Starting today, Amazon Elastic Cloud Compute (Amazon EC2) P6-B300 instances are available in the AWS GovCloud (US-East) Region. P6-B300 instances provide 8x NVIDIA Blackwell Ultra GPUs with 2.1 TB high bandwidth GPU memory, 6.4 Tbps EFA networking, 300 Gbps dedicated ENA throughput, and 4 TB of system memory. P6-B300 instances deliver 2x networking bandwidth, 1.5x GPU memory size, and 1.5x GPU TFLOPS (at FP4, without sparsity) compared to P6-B200 instances, making them well suited to train and deploy large trillion-parameter foundation models (FMs) and large language models (LLMs) with sophisticated techniques. The higher networking and larger memory deliver faster training times and more token throughput for AI workloads. P6-B300 instances are now available in p6-b300.48xlarge size in the following AWS Regions: US West (Oregon) and AWS GovCloud (US-East). To learn more about P6-B300 instances, visit Amazon EC2 P6 instances . Post Updated on April 14, 2026 at 10:00PM
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Amazon Quick now supports document-level access controls for Google Drive knowledge bases - devamazonaws.blogspot.com

Amazon Quick now supports document-level access controls (ACLs) for Google Drive knowledge bases, enabling organizations to maintain native Google Drive permissions when indexing content. Quick combines ACL replication for efficient pre-retrieval filtering with an additional layer of real-time permission checks directly with Google Drive at query time. This dual approach means you get the performance benefits of indexed ACLs while also guarding against stale or incorrectly mapped permission data. When a user submits a query, Quick verifies their current permissions with Google Drive before generating a response—ensuring answers are based on live access rights. With document-level access controls, Amazon Quick now respects individual file and folder permissions from Google Drive. This feature is available in all AWS Regions where Amazon Quick is available . To get started, create or update a Google Drive knowledge base in the Amazon Quick console and configure document-level access c...
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Amazon Quick now supports document-level access controls for ACL support for S3 - devamazonaws.blogspot.com

Amazon Quick now supports document-level access control lists (ACLs) for Amazon S3 knowledge bases, enabling you to manage granular permissions for documents stored in S3. With this feature, you can control which users and groups can access specific documents or folders within your knowledge base, ensuring that sensitive information is only available to authorized personnel. You can configure document-level ACLs using two methods optimized for different use cases. The global ACL configuration file provides centralized permission management at the folder level, ideal for organizations with stable permission structures. Alternatively, document-level metadata files enable faster permission updates by allowing you to define access controls for individual documents, requiring reindexing only for affected documents rather than entire folder structures. Document-level ACL configuration is permanent and must be set when creating a new knowledge base. For ACL-enabled knowledge bases, documen...
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Amazon Redshift introduces key performance optimization for Top-K queries - devamazonaws.blogspot.com

Amazon Redshift further optimizes the processing of top-k queries (queries with ORDER BY and LIMIT clauses) by intelligently skipping irrelevant data blocks to return results faster, dramatically reducing the amount of data processed. This optimization reorders and efficiently adjusts the data blocks to be read based on the ORDER BY column's min/max values, maintaining only the K most qualifying rows in memory. When the ORDER BY column is sorted or partially sorted, Amazon Redshift now processes only the minimal data blocks needed rather than scanning entire tables, eliminating unnecessary I/O and compute overhead. This enhancement particularly benefits top-k queries when the data permanently stores in descending order (ORDER BY ... DESC LIMIT K) on large tables where qualifying rows are appended at the end of the data storage. Common examples include: Finding the k most recent orders from millions or billions of transactions Retrieving top-k best performing products or k wors...
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Amazon CloudWatch Logs Insights now supports saved queries with parameters - devamazonaws.blogspot.com

Amazon CloudWatch Logs Insights saved queries now support parameters, allowing you to pass values to reusable query templates with placeholders. This eliminates the need to maintain multiple copies of nearly identical queries that differ only in specific values such as log levels, service names, or time intervals. You can define up to 20 parameters in a query, with each parameter supporting optional default values. For example, you can create a single template to query logs by severity level (such as ERROR or WARN) and pass different service names each time you run it. To execute a query with parameters, invoke it using the query name prefixed with $ and pass your parameter values, such as $ErrorsByService(logLevel="ERROR", serviceName="OrderEntry"). You can also use multiple saved queries with parameters together for complex log analysis, significantly reducing query maintenance overhead while improving reusability. Saved queries with parameters are available i...
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