Kategorie: Amazon AWS

Amazon EC2 I7ie instances now available in AWS GovCloud (US) Region

AWS is announcing starting today, Amazon EC2 I7ie instances are now available in AWS GovCloud (US-West) region. Designed for large storage I/O intensive workloads, I7ie instances are powered by 5th Gen Intel Xeon Processors with an all-core turbo frequency of 3.2 GHz, offering up to 40% better compute performance and 20% better price performance over existing I3en instances. I7ie instances offer up to 120TB local NVMe storage density (highest in the cloud) for storage optimized instances and offer up to twice as many vCPUs and memory compared to prior generation instances. Powered by 3rd generation AWS Nitro SSDs, I7ie instances deliver up to 65% better real-time storage performance, up to 50% lower storage I/O latency, and 65% lower storage I/O latency variability compared to I3en instances. I7ie are high density storage optimized instances, ideal for workloads requiring fast local storage with high random read/write performance at very low latency consistency to access large data sets. These instances are available in 9 different virtual sizes and deliver up to 100Gbps of network bandwidth and 60Gbps of bandwidth for Amazon Elastic Block Store (EBS). To learn more, visit the I7ie instances page.
Quelle: aws.amazon.com

Amazon DocumentDB (with MongoDB compatibility) announces upgraded query planner that can run queries up to 10x faster

Today, Amazon DocumentDB (with MongoDB compatibility) announces a new query planner, featuring advanced query optimization capabilities and improved performance. PlannerVersion 2.0 for Amazon DocumentDB (with MongoDB compatibility) 5.0 delivers up to 10x performance improvement over the prior version when using find and update operators with indexes. Performance improvements primarily come from using more optimal index plans and enabling index scan support for operators such as negation operators ($neq, $nin) and nested $elementMatch. PlannerVersion 2.0 queries run faster through better cost estimation techniques, optimized algorithms, and enhanced stability.
PlannerVersion 2.0 also simplifies query syntax. For example, you no longer need to provide explicit hints for $regex queries to utilize indexes.
PlannerVersion 2.0 is available in all AWS Regions where Amazon DocumentDB 5.0 is supported. You can enable it by simply modifying the corresponding parameter in your cluster parameter group. The change does not require a cluster restart or cause any downtime. If needed, you can easily revert to using the legacy query planner. To learn more about the new query planner, see Getting Started with New Query Planner.
Quelle: aws.amazon.com

Amazon EC2 Im4gn instances now available in AWS Europe (Milan) Region

Starting today, Amazon EC2 Im4gn Instances are available in Europe (Milan) region. Im4gn instances are built on the AWS Nitro System and are powered by AWS Graviton2 processors. They feature up to 30TB of instance storage with the 2nd Generation AWS Nitro SSDs that are custom-designed by AWS for the storage performance of I/O intensive workloads such as SQL/NoSQL databases, search engines, distributed file systems and data analytics. These instances help with transactions processed per second (TPS) for I/O intensive workloads such as relational databases (e.g. MySQL, MariaDB, PostgreSQL), and NoSQL databases (KeyDB, ScyllaDB, Cassandra) which have medium-large size data sets and can benefit from high compute performance and high network throughput. They are also an ideal fit for search engines, and data analytics workloads requiring fast access to data sets on local storage. The Im4gn instances also feature up to 100 Gbps networking and support for Elastic Fabric Adapter (EFA) for applications requiring high levels of inter-node communication. Get started with Im4gn instances by visiting the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs. To learn more, visit the Im4gn instances page. 
Quelle: aws.amazon.com

Amazon EC2 I7i instances now available in additional AWS GovCloud (US) Regions

Amazon Web Services (AWS) announces the availability of high performance Storage Optimized Amazon EC2 I7i instances in the AWS GovCloud (US-East, US-West) Regions. Powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency of 3.2 GHz, these new instances deliver up to 23% better compute performance and more than 10% better price performance over previous generation I4i instances. Powered by 3rd generation AWS Nitro SSDs, I7i instances offer up to 45TB of NVMe storage with up to 50% better real-time storage performance, up to 50% lower storage I/O latency, and up to 60% lower storage I/O latency variability compared to I4i instances. I7i instances offer the best compute and storage performance for x86-based storage optimized instances in Amazon EC2, ideal for I/O intensive and latency-sensitive workloads that demand very high random IOPS performance with real-time latency to access the small to medium size datasets (multi-TBs). Additionally, torn write prevention feature support up to 16KB block sizes, enabling customers to eliminate database performance bottlenecks. I7i instances are available in eleven sizes – nine virtual sizes up to 48xlarge and two bare metal sizes – delivering up to 100Gbps of network bandwidth and 60Gbps of Amazon Elastic Block Store (EBS) bandwidth. To learn more, visit the I7i instances page.
Quelle: aws.amazon.com

Amazon Kinesis Data Streams now supports 10x larger record sizes

Amazon Kinesis Data Streams now supports record sizes up to 10MiB, a tenfold increase from the previous 1MiB limit. This launch enables customers to publish intermittent larger data payloads in their data streams while continuing to use existing Kinesis Data Streams APIs in their applications. This launch is accompanied by a 2x increase in the maximum PutRecords request size from 5MiB to 10MiB. Amazon Kinesis Data Streams is a serverless data streaming service that enables customers to capture, process, and store real-time data streams at any scale. With this launch, customers no longer need to maintain separate processing pipelines for handling intermittent large records, and can thus simplify their data pipelines. This reduces operational overhead for IoT analytics, change data capture, and generative AI workloads. You can update your stream’s maximum record size up to 10 MiB using either the AWS Management Console or the UpdateMaxRecordSize API via the AWS SDK or CLI. Once your stream is configured, you can publish and consume larger records using existing Kinesis Data Streams APIs. You do not incur additional costs to use this capability beyond your regular Kinesis data streams charges. In conjunction with this launch, AWS Lambda now supports larger payloads up to 6MiB from Kinesis Data Streams. Amazon Kinesis Data Streams supports large records in the AWS Regions documented here. To learn more about using large records and how common downstream applications handle large records, please see our documentation.
Quelle: aws.amazon.com

Amazon SageMaker adds additional search context for search results

Amazon SageMaker enhances search results in Amazon SageMaker Unified Studio with additional context that improves transparency and interpretability. Users can see which metadata fields matched their query and understand why each result appears, increasing clarity and trust in data discovery. The capability introduces inline highlighting for matched terms and an explanation panel that details where and how each match occurred across metadata fields such as name, description, glossary, schema, and other metadata. The enhancement reduces time spent evaluating irrelevant assets by presenting match evidence directly in search results. Users can quickly validate relevance without opening individual assets. This capability is now available in all AWS Regions where Amazon SageMaker is supported. To learn more about Amazon SageMaker, see Amazon SageMaker documentaion. 
Quelle: aws.amazon.com

Amazon Redshift Serverless is now available in the AWS Asia Pacific (Osaka) and Asia Pacific (Malaysia) regions

Amazon Redshift Serverless, which allows you to run and scale analytics without having to provision and manage data warehouse clusters, is now generally available in the AWS Asia Pacific (Osaka) and Asia Pacific (Malaysia) regions. With Amazon Redshift Serverless, all users, including data analysts, developers, and data scientists, can use Amazon Redshift to get insights from data in seconds. Amazon Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics. You only pay for the compute used for the duration of the workloads on a per-second basis. You can benefit from this simplicity without making any changes to your existing analytics and business intelligence applications. With a few clicks in the AWS Management Console, you can get started with querying data using the Query Editor V2 or your tool of choice with Amazon Redshift Serverless. There is no need to choose node types, node count, workload management, scaling, and other manual configurations. You can create databases, schemas, and tables, and load your own data from Amazon S3, access data using Amazon Redshift data shares, or restore an existing Amazon Redshift provisioned cluster snapshot. With Amazon Redshift Serverless, you can directly query data in open formats, such as Apache Parquet, in Amazon S3 data lakes. Amazon Redshift Serverless provides unified billing for queries on any of these data sources, helping you efficiently monitor and manage costs. To get started, see the Amazon Redshift Serverless feature page, user documentation, and API Reference.
Quelle: aws.amazon.com

Amazon ECS Managed Instances now available in all commercial AWS Regions

Amazon Elastic Container Service (Amazon ECS) Managed Instances is now available in all commercial AWS Regions. ECS Managed Instances is a fully managed compute option designed to eliminate infrastructure management overhead while giving you access to the full capabilities of Amazon EC2. By offloading infrastructure operations to AWS, you get the application performance you want and the simplicity you need while reducing your total cost of ownership. Managed Instances dynamically scales EC2 instances to match your workload requirements and continuously optimizes task placement to reduce infrastructure costs. It also enhances your security posture through regular security patching initiated every 14 days. You can simply define your task requirements such as the number of vCPUs, memory size, and CPU architecture, and Amazon ECS automatically provisions, configures and operates most optimal EC2 instances within your AWS account using AWS-controlled access. You can also specify desired instance types in Managed Instances Capacity Provider configuration, including GPU-accelerated, network-optimized, and burstable performance, to run your workloads on the instance families you prefer. To get started with ECS Managed Instances, use the AWS Console, Amazon ECS MCP Server, or your favorite infrastructure-as-code tooling to enable it in a new or existing Amazon ECS cluster. You will be charged for the management of compute provisioned, in addition to your regular Amazon EC2 costs. To learn more about ECS Managed Instances, visit the feature page, documentation, and AWS News launch blog.
Quelle: aws.amazon.com

Amazon Cognito now supports resource indicators to simplify enhancing protection of OAuth 2.0 resources

Amazon Cognito now enables app clients to specify resource indicators during access token requests as part of its OAuth 2.0 authorization code grant and implicit grant flows. The resource indicator identifies the protected resource, such as a user’s bank account record or a specific file in a file server that the user needs to access. After authenticating the client, Cognito then issues an access token for that specific resource. This ensures that access tokens can be limited from broad service level access down to accessing specific individual resources. This capability makes it simpler to protect resources that a user needs to access. For example, agents (an example of app clients) on behalf of users can request access tokens for specific protected resources, such as a user’s banking records. After validation, Cognito issues an access token with the audience claim set to the specific resource. Previously, clients had to use non-standard claims or scopes for Cognito to infer and issue resource-specific access tokens. Now, customers can specify the target resource in a simple and consistent way using standards-based resource parameter. This capability is available to Amazon Cognito Managed Login customers using Essentials or Plus tiers in AWS Regions where Cognito is available, including the AWS GovCloud (US) Regions. To learn more, refer to the developer guide, and pricing for Cognito Essentials and Plus tier.
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Amazon Location Service introduces new API key restrictions

Today, AWS announced enhanced API key restrictions for Amazon Location Service, enabling developers to secure their location-based applications more effectively. This new capability helps organizations that need to restrict API access to specific mobile applications, providing improved security controls for location services across their application portfolio. Developers can now create granular security policies by restricting API keys to specific Android applications using package names and SHA-1 certificate fingerprints, or to iOS applications using Bundle IDs. For example, enterprises can ensure their API keys only work with their approved mobile applications, while development teams can create separate keys for testing and production environments. Amazon Location Service API key restrictions are available in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Stockholm), Europe (Spain), and South America (São Paulo). To implement these restrictions, you’ll need to update your API key configurations using the Amazon Location Service console or APIs. To learn more, please visit the Developer Guide.
Quelle: aws.amazon.com