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Amazon Aurora PostgreSQL now lets you directly query Apache Iceberg and Parquet data stored in your data lake alongside live operational data—no ETL pipelines required. Powered by DuckDB embedded within Aurora, this capability enables single queries that join transactional and historical data using familiar PostgreSQL syntax. It supports AWS Glue Data Catalog, S3, and S3 Tables, with optimizations like predicate pushdown and caching for efficient performance.
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Starting today, you can directly query operational data together with data stored in data lakes in Apache Iceberg and Parquet formats using your existing PostgreSQL applications and tools, without extract, transform, and load (ETL) pipelines or data duplication. Applications increasingly need access to data from data lakes, often stored in Apache Iceberg and Parquet formats, to make more informed decisions and automate business processes. Accessing it has typically required pipelines that copy data from your data lake into Aurora, driving up costs and engineering work as schemas evolve. With this launch, you can create PostgreSQL foreign tab…
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AWS is announcing the general availability of new low-cost burstable Amazon EC2 T8i instances. These instances are powered by custom sixth generation Intel Xeon 6 processors, available exclusively on AWS, and built on the latest sixth generation AWS Nitro cards. T8i instances deliver up to 30% better price performance compared to previous generation T3 instances, and offer four sizes: nano, micro, small, and medium. These instances are designed for workloads requiring low to moderate CPU utilization, including data processing, login gateways, small databases, batch processing, event driven functions, CI/CD pipelines, microservices, and low t…
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AWS Elastic Beanstalk introduces Cluster Mode, a new deployment mode that lets you run and manage multiple applications on shared infrastructure in your account. Provide your source code, a Dockerfile, or a container image in Amazon ECR, and Elastic Beanstalk handles containerization, provisioning, and ongoing operations through the console, CLI, and APIs you already use. A new Elastic Beanstalk GitHub Action deploys your application directly from your repository as part of your CI/CD pipeline. AWS Elastic Beanstalk deploys, scales, and manages your applications for their full lifecycle while handling the infrastructure, so you can focus on …
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Amazon SageMaker HyperPod now supports model caching, an inference optimization that pre-loads model weights and container images onto cluster nodes so pods start in seconds instead of minutes. When running LLM inference at scale for workloads like chat assistants, agentic pipelines, RAG, and document analysis, cold start is a real bottleneck. Deployments and scale-out events spend most of their time downloading container images and model weights. As model size increases, this gets worse, with large models taking tens of minutes before they can serve traffic. Model caching solves this with two independent capabilities. The weights cache stor…
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AWS Lambda now supports direct read configuration for Amazon S3 Files, letting you configure which storage your functions read from: S3 Files high-performance storage or your S3 bucket. With this launch, you can optimize the throughput and latency of file reads for your Lambda functions based on your application requirements. Customers use S3 Files with Lambda functions to build scalable data processing pipelines and stateful agentic workloads with the performance and simplicity of a file system, while benefiting from the scalability, durability, and cost-effectiveness of S3. S3 Files serves data from high-performance storage for low latency…
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Today, AWS announced the general availability of an AWS-managed transformation for .NET modernization in AWS Transform custom that you can trigger with a single one-line CLI command. You can run this transformation interactively, or script it into any existing pipeline or workflow to run autonomously. The CLI experience complements the existing AWS Transform for .NET experiences: the web application, Visual Studio IDE, Kiro Power, and MCP agents. AWS Transform custom enables organizations to modernize and transform code at scale using AWS-managed and custom transformations. You can upgrade language versions, migrate frameworks, optimize perf…
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AWS announces automatic sync scheduling for Amazon Bedrock Managed Knowledge Base, a fully managed retrieval-augmented generation (RAG) service that handles data ingestion, storage optimization, and advanced retrieval without requiring you to manage vector databases or data pipelines. Previously, keeping your knowledge base current required manually triggering a sync each time your source data changed or building a custom solution. Now, you can configure daily, weekly, or monthly sync schedules for all native data source connectors, so your AI agents always retrieve the most up-to-date information. With automatic sync scheduling, you can mat…
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Amazon Elastic Container Service (Amazon ECS) now supports Early Success Criteria for rolling service deployments, giving you the flexibility to define when a deployment is considered successful based on your confidence level and the operational needs of your workload. This can help you complete deployments sooner and unblock subsequent deployments, CI/CD pipelines, and other dependent operations. With Early Success Criteria, you configure the healthy percent - the proportion of desired tasks that must be running and healthy on the target service revision before the deployment is marked successful. For example, with a desired count of 100 an…
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Amazon Managed Workflows for Apache Airflow (MWAA) now supports Apache Airflow version 3.3.1, the latest release of the popular open-source workflow orchestration framework. Amazon MWAA is a managed orchestration service for Apache Airflow that makes it easier to set up and operate end-to-end data pipelines in the cloud. Apache Airflow 3.3 introduces stateful tasks and multi-language support. With the new Task and Asset State Store, tasks can now persist durable state across retries and reruns, enabling cursor tracking and crash-safe reconnection to long-running jobs. The Language Task SDK (experimental) lets teams write task logic in Java o…
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You can now use Amazon Timestream for InfluxDB in the Africa (Cape Town), Asia Pacific (Bangkok), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Asia Pacific (Seoul), Europe (Zurich), and Israel (Tel Aviv) AWS Regions. Timestream for InfluxDB makes it easy for application developers and DevOps teams to run fully managed InfluxDB databases on AWS for real-time time-series applications using open-source APIs. Timestream for InfluxDB offers Multi-AZ high availability, read replicas, enhanced durability, and multi-node scaling — giving you flexible deployment options to match your workload as it evolves. Whether yo…
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Amazon Redshift now supports reading from and writing to Apache Iceberg v3 tables in your data lake. Apache Iceberg is an open table format, and its v3 release adds several new features. With this launch, Amazon Redshift introduces support for default column values, row lineage, and deletion vectors. With default column values, you can define an initial value that Amazon Redshift applies when no value is provided, simplifying schema evolution as you add columns to existing tables. Row lineage exposes pseudo-columns that track each row's identity and last-updated sequence number, so you can build incremental pipelines and CDC (change data cap…
