Tag: Internet

Amazon Elastic Compute Cloud (EC2) C8id instances powered by custom Intel Xeon 6 processors feature up to 384 vCPUs, 768GiB of memory, and 22.8TB of NVMe SSD storage and deliver up to 43% higher performance and 3.3x more memory bandwidth compared to previous generation C6id instances. Starting today, C8id instances are available in Europe (Spain) region. These instances deliver up to 46% higher performance for I/O intensive database workloads, and up to 30% faster query results for I/O intensive real-time data analytics than previous sixth-generation instances. Additionally, these instances support Instance Bandwidth Configuration, allowing 25% flexible allocation between network and EBS bandwidth, allocating resources optimally for each workload. C8id instances are ideal for compute-intensive workloads such as high-performance web servers, batch processing, distributed analytics, ad serving, video encoding, and gaming servers. C8id instances are av

Amazon Elastic Compute Cloud (Amazon EC2) C8gd and M8gd instances with up to 11.4 TB of local NVMe-based SSD block-level storage are now available in additional regions. C8gd instances are now available in South America (Sao Paulo). M8gd instances are now available in Europe (Ireland). These instances are powered by AWS Graviton4 processors, delivering up to 30% better performance over Graviton3-based instances. They have up to 40% higher performance for I/O intensive database workloads, and up to 20% faster query results for I/O intensive real-time data analytics than comparable AWS Graviton3-based instances. These instances are built on the AWS Nitro System and are a great fit for applications that need access to high-speed, low latency local storage. Each instance is available in 12 different sizes. They provide up to 50 Gbps of network bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Additionally, customers can now adjust the netw

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7gd instances with up to 3.8 TB of local NVMe-based SSD block-level storage are available in South America (Sao Paulo) Region. R7gd are powered by AWS Graviton3 processors with DDR5 memory are built on the AWS Nitro System. They are ideal for memory-intensive workloads such as open-source databases, in-memory caches, and real-time big data analytics and are a great fit for applications that need access to high-speed, low latency local storage, including those that need temporary storage of data for scratch space, temporary files, and caches. To learn more, see Amazon R7gd Instances. To get started, see the AWS Management Console.

Amazon EC2 High Memory U7i instances with 8TB of memory (u7i-8tb.112xlarge) are now available in AWS Asia Pacific (Hyderabad), and U7i instances with 12TB of memory (u7i-12tb.224xlarge) are now available in AWS Europe (Spain). U7i instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-8tb instances offer 8TiB of DDR5 memory, U7i-12tb instances offer 12TiB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i-8tb instances offer 448 vCPUs and U7i-12tb instances offer 896 vCPUs. Both instance types support up to 100 Gbps of Amazon Elastic Block Store (Amazon EBS) bandwidth for faster data loading and backups, up to 100 Gbps of network bandwidth, and ENA Express.  U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server. To learn more about U7i i

Amazon Connect now delivers integrated agent coaching workflows that enable contact center managers to provide timely, targeted feedback directly within the Connect UI. When managers identify improvement opportunities through evaluation scorecards, they can immediately create coaching plans with specific customer interaction examples. For example, a manager can share interactions with an agent where they excelled at problem-solving but could show more customer empathy, with examples of empathetic language to use going forward. After coaching sessions, agents acknowledge feedback and add notes to confirm understanding of expectations and next steps. Both managers and agents access all coaching history on a single page, enabling systematic progress tracking and improved coaching effectiveness. This integrated approach eliminates coaching delays and creates accountability throughout the agent development process, accelerating performance improvement across contact center operations.

Amazon CloudWatch Database Insights expands the availability of its on-demand analysis experience to AWS GovCloud (US-East) and AWS GovCloud (US-West). CloudWatch Database Insights is a monitoring and diagnostics solution that helps database administrators and developers optimize database performance by providing comprehensive visibility into database metrics, query analysis, and resource utilization patterns. This feature uses machine learning models to help identify performance bottlenecks during the selected time period, and gives advice on what to do next. Previously, database administrators had to manually analyze performance data, correlate metrics, and investigate root cause. This process is time-consuming and requires deep database expertise. With this launch, you can now analyze database performance monitoring data for any time period with automated intelligence. The feature automatically compares your selected time period against normal baseline performance, ident

Amazon Connect now enables you to choose the "From" email address when replying to inbound emails or sending new outbound messages, helping contact centers ensure the correct brand or business identity is used for every customer interaction. Administrators can configure multiple sender addresses per queue, allowing agents to search and select the appropriate email address based on the queue they are working in. This capability is especially useful for contact centers that support multiple brands or lines of business from a single Amazon Connect instance. Amazon Connect email is available in the US East (N. Virginia), US West (Oregon), Africa (Cape Town), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), and Europe (London) regions. To learn more and get started, please refer to the help

Amazon Connect now provides case data in the analytics data lake, making it easier for you to generate reports and insights. With case data available alongside other Amazon Connect analytics, you can use Amazon Athena and Amazon QuickSight to build custom reports and analyze trends such as case volume by type, case handling across agent shifts, or contact sentiment across cases without building and maintaining complex data pipelines. Amazon Connect Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town) AWS regions. To learn more and get started, visit the Amazon Connect Cases webpage and documentation

AWS Backup for Amazon RDS Multi-AZ clusters is now available in 17 additional AWS Regions: Asia Pacific (Mumbai, Osaka, Seoul, Hong Kong, Jakarta, Hyderabad, Melbourne, Malaysia), Europe (London, Paris, Milan, Zurich, Spain), South America (Sao Paulo), Africa (Cape Town), Canada (Central), and Canada West (Calgary). This expansion brings AWS Backup's comprehensive data protection capabilities—including automated lifecycle management, and immutable backups with AWS Backup Vault Lock —to your Amazon RDS Multi-AZ clusters in these Regions. To start protecting your RDS Multi-AZ clusters with AWS Backup, add your RDS Multi-AZ clusters to your existing backup plans or create a new backup plan, and attach your RDS clusters to the newly created backup plan. To learn more about AWS Backup for Amazon RDS Multi-AZ clusters, visit the product page, pricing page, and

Amazon Bedrock AgentCore Runtime now supports stateful Model Context Protocol (MCP) server features, enabling developers to build MCP servers that leverage elicitation, sampling, and progress notifications alongside existing support for resources, prompts, and tools. These capabilities allow MCP servers deployed to AgentCore Runtime to collect user input interactively during tool execution, request LLM-generated content from clients, and provide real-time progress updates for long-running operations. With stateful MCP sessions, each user session runs in a dedicated microVM with isolated resources, and the server maintains session context across multiple interactions using an Mcp-Session-Id header. Elicitation enables server-initiated, multi-turn conversations to gather information such as user preferences. Sampling allows servers to request AI-powered text generation from the client for tasks like personalized recommendations. Progress notifications keep clients informed du