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Amazon GameLift Servers expands instance support with next-generation EC2 instance families

Amazon GameLift Servers now supports Amazon EC2 5th through 8th generation instances, offering enhanced price-performance, efficiency, and flexibility for game server hosting. This update allows developers to leverage the latest advancements in EC2 compute, memory, and networking across three main instance families:

General Purpose (M-series): Balanced CPU, memory, and networking for a wide range of game workloads.
Compute Optimized (C-series): High-performance compute instances with a 2:1 memory ratio, ideal for CPU-intensive game servers.
Memory Optimized (R-Series): Optimized for high-memory workloads with an 8:1 memory ratio, supporting complex simulations and large player sessions.

Each new EC2 generation brings significant improvements:

5th Gen: Proven reliability with Intel processors with balanced performance
6th Gen: Includes AWS Graviton2 ARM-based options alongside Intel and AMD variants offering enhanced price-performance efficiency.
7th Gen: The latest evolution featuring DDR5 memory, enhanced networking, and offering significant performance gains over previous generations.
8th Gen: Cutting-edge AWS Graviton4 and Intel Xeon-based instances for demanding workloads

Customers can also choose variants with local storage (d), enhanced networking (n), and different processor architectures (Intel, AMD, Graviton – i/a/g). This update empowers developers with greater flexibility, scalability, and cost efficiency to optimize game server performance. Customers can now seamlessly transition workloads to newer EC2 generations, leveraging AWS’s continuous innovation for building, scaling, and operating multiplayer games globally. These next-generation instances are available in Amazon GameLift Servers supported regions, except AWS China. For more information on launching fleets with next-generation EC2 instances, visit the Amazon GameLift Servers documentation and EC2 Instance Types overview.
Quelle: aws.amazon.com

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Amazon CloudWatch Logs now supports data protection, OpenSearch PPL and OpenSearch SQL for the Infrequent Access ingestion class

Amazon CloudWatch Logs now supports expanded analytics and data protection capabilities for the Infrequent Access (Logs IA) ingestion class, including support for data protection, OpenSearch’s Piped Processing Language (PPL) and OpenSearch SQL. These enhancements make it easier for customers to perform flexible analytics and protect sensitive data while cost-effectively consolidating all your logs natively on AWS, making Logs IA ideal for ad-hoc troubleshooting and forensic analysis on infrequently accessed logs.
Logs IA is a cost-effective ingestion class for consolidating logs that are queried occasionally, such as forensic investigations. Logs IA currently offers log analytics with Logs Insights Query Language, export to S3, and encryption with a lower ingestion price per GB compared to the Standard log class. With today’s launch, customers can now use OpenSearch SQL and OpenSearch PPL queries to perform advanced analytics. In addition, data protection allows customers to automatically detect and mask sensitive information in logs, helping organizations meet security and compliance requirements.
Learn more about CloudWatch Logs IA pricing and read the user guide here. For Regional availability, visit the AWS Builder Center.
Quelle: aws.amazon.com

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Amazon Timestream for InfluxDB Now Supports Advanced Metrics

Amazon Timestream for InfluxDB now offers Advanced Metrics, providing comprehensive visibility into your database performance and health. This new capability automatically publishes detailed operational metrics from your Timestream for InfluxDB 2 instances directly to Amazon CloudWatch, enabling real-time monitoring and alerting without requiring additional configuration or instrumentation for both Single-AZ and Multi-AZ Timestream for InfluxDB 2 databases. With Advanced Metrics, customers can track critical database performance indicators, set up custom dashboards, and configure automated alerts based on predefined thresholds. This enhanced observability helps DevOps teams quickly identify potential issues, optimize database performance, and ensure high availability for time-series applications by providing deeper insights into resource utilization, query performance, and system health across their InfluxDB 2 environments. Amazon Timestream for InfluxDB Advanced Metrics is available in all Regions where Timestream for InfluxDB is offered. To get started with Amazon Timestream for InfluxDB, visit the Amazon Timestream for InfluxDB console. For more information, see the Amazon Timestream for InfluxDB documentation and pricing page.
Quelle: aws.amazon.com