Cloud Computing Köln

Amazon OpenSearch Service launches Cluster Insights for improved operational visibility

Amazon OpenSearch Service now includes Cluster Insights, a monitoring solution that provides comprehensive operational visibility of your clusters through a single dashboard. This eliminates the complexity of having to analyze and correlate various logs and metrics to identify potential risks to cluster availability or performance. The solution automates the consolidation of critical operational data across nodes, indices, and shards, transforming complex troubleshooting into a streamlined process. When investigating performance issues like slow search queries, Cluster Insights displays relevant performance metrics, affected cluster resources, top-N query analysis, and specific remediation steps in one comprehensive view. The solution operates through OpenSearch UI’s resilient architecture, maintaining monitoring capabilities even during cluster unavailability. Users gain immediate access to account-level cluster summaries, enabling efficient management of multiple deployments. Cluster Insights is available at no additional cost for OpenSearch version 2.17 or later in all Regions where OpenSearch UI is available. View the complete list of supported Regions here. To learn more about Cluster Insights, refer to our technical documentation.
Quelle: aws.amazon.com

Amazon CloudWatch now supports scheduled queries in Logs Insights

Amazon CloudWatch Logs now supports automatically running Logs Insights queries on a recurring schedule for your log analysis needs. With scheduled queries, you can now automate log analysis tasks and deliver query results to Amazon S3 and Amazon EventBridge.
With today’s launch, you can track trends, monitor key operational metrics, and detect anomalies without needing to manually re-run queries or maintain custom automation. This feature makes it easier to maintain continuous visibility into your applications and infrastructure, streamline operational workflows, and ensure consistent insight generation at scale. For example, you can setup scheduled queries for your weekly audit reporting. The query results can also be stored in Amazon S3 for analysis, or trigger incident response workflows through Amazon EventBridge. The feature supports all CloudWatch Logs Insights query languages and helps teams improve operational efficiency by eliminating manual query executions.
Scheduled queries is available in US East (Ohio), US East (N. Virginia), US West (N. California), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Stockholm), and South America (São Paulo).
You can configure a scheduled query using the Amazon CloudWatch console, AWS Command Line Interface (AWS CLI), AWS Cloud Development Kit (AWS CDK), and AWS SDKs. For more information, visit the Amazon CloudWatch documentation.
Quelle: aws.amazon.com

Get Invoice PDF API is now generally available.

Today, AWS announces the general availability of the Get Invoice PDF API, enabling customers to programmatically download AWS invoices via SDK calls. Customers can retrieve individual invoice PDF artifacts by invoking API calls with AWS Invoice ID as input and receives pre-signed Amazon S3 URL for immediate download of AWS invoice and supplemental documents in PDF format. For bulk invoice retrieval, customers can first call the List Invoice Summaries API to get Invoice IDs for a specific billing period, then use the Invoice IDs as input to Get Invoice API to download each Invoice PDF artifact. The Get Invoice PDF API is available in the US East (N. Virginia) Region. Customers from any commercial regions (except China Regions) can use the service. To get started with Get Invoice PDF API please visit the API Documentation.
Quelle: aws.amazon.com

Amazon RDS Optimized Reads now supports R8gd and M8gd database instances

Amazon Relational Database Service (RDS) now supports R8gd and M8gd database instances for Optimized Reads on Amazon Aurora PostgreSQL and RDS for PostgreSQL, MySQL, and MariaDB. R8gd and M8gd database instances offer improved price-performance. For example, Optimized Reads on R8gd instances deliver up to 165% better throughput and up to 120% better price-performance over R6g instances for Aurora PostgreSQL. Optimized Reads uses local NVMe-based SSD block storage available on these instances to store ephemeral data, such as temporary tables, reducing data access to/from network-based storage and improving read latency and throughput. The result is improved query performance for complex queries and faster index rebuild operations. Aurora PostgreSQL Optimized Reads instances using the I/O-Optimized configuration additionally use the local storage to extend their caching capacity. Database pages that are evicted from the in-memory buffer cache are cached in local storage to speed subsequent retrieval of that data. Customers can get started with Optimized Reads through the AWS Management Console, CLI, and SDK by modifying their existing Aurora and RDS databases or creating a new database using R8gd or M8gd instances. These instances are available in the US East (N. Virginia, Ohio), US West (Oregon), Europe (Spain, Frankfurt), and Asia Pacific (Tokyo) Regions. For complete information on pricing and regional availability, please refer to the pricing page. For information on specific engine versions that support these DB instance types, please see the Aurora and RDS documentation.
Quelle: aws.amazon.com

EC2 Auto Scaling now offers a synchronous API to launch instances inside an Auto Scaling group

Today, EC2 Auto Scaling is launching a new API, LaunchInstances, which gives customers more control and flexibility over how EC2 Auto Scaling provisions instances while providing instant feedback on capacity availability. Customers use EC2 Auto Scaling for automated fleet management. With scaling policies, EC2 Auto Scaling can automatically add instances when demand spikes and remove them when traffic drops, ensuring customers’ applications always have the right amount of compute. EC2 Auto Scaling also offers the ability to monitor and replace unhealthy instances. In certain use cases, customers may want to specify exactly where EC2 Auto Scaling should launch additional instances and need immediate feedback on capacity availability. The new LaunchInstances API allows customers to precisely control where instances are launched by specifying an override for any Availability Zone and/or subnet in an Auto Scaling group, while providing immediate feedback on capacity availability. This synchronous operation gives customers real-time insight into scaling operations, enabling them to quickly implement alternative strategies if needed. For additional flexibility, the API includes optional asynchronous retries to help reach the desired capacity. This feature is now available in US East (N. Virginia), US West (Oregon), Europe (Ireland), and Asia Pacific (Singapore), at no additional cost beyond standard EC2 and EBS usage. To get started, visit the AWS Command Line Interface (CLI) and the AWS SDKs. To learn more about this feature, visit the AWS documentation. 
Quelle: aws.amazon.com