Tag: Internet

Amazon CloudWatch Application Signals now offers three new console based capabilities for Service Level Objectives (SLOs): SLO Recommendations, Service-Level SLOs, and SLO Performance Report. CloudWatch Application Signals helps customers monitor and improve application performance on AWS. It automatically collects data from applications running on services like Amazon EC2, Amazon ECS, and Lambda. Previously, customers had to manually set SLO thresholds without data-driven guidance, often leading to misconfigured targets and alert fatigue. They also lacked visibility into overall service health across operations and had no way to track reliability trends over time or generate calendar periods performance reports. These new capabilities address each of those gaps, making it easier to set data-driven reliability targets, monitor overall service health, and identify reliability trends before they become incidents.

AWS announces the AWS Serverless Application Model (SAM) Kiro power, bringing serverless application development expertise to agentic AI development in Kiro. With this power, you can build, deploy, and manage serverless applications with AI agent-assisted development directly in your local environment. SAM is an open-source framework that simplifies building serverless applications on AWS. SAM Kiro power dynamically loads relevant guidance and development expertise the AI agent needs to build serverless applications. This includes initializing SAM projects, building and deploying applications to AWS, and locally testing Lambda functions. The power supports event-driven patterns with Amazon EventBridge, Amazon Managed Streaming for Apache Kafka (MSK), Amazon Kinesis, Amazon DynamoDB Streams, and Amazon Simple Queue Service (SQS), while covering security best practices for IAM policies. Built-in guidance enf

Starting today, Amazon EC2 R8a instances are now available in Asia Pacific (Tokyo) Region. These instances, feature 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to R7a instances. R8a instances deliver 45% more memory bandwidth compared to R7a instances, making these instances ideal for latency sensitive workloads. Compared to Amazon EC2 R7a instances, R8a instances provide up to 60% faster performance for GroovyJVM, allowing higher request throughput and better response times for business-critical applications. Built on the AWS Nitro System using sixth generation Nitro Cards, R8a instances are ideal for high performance, memory-intensive workloads, such as SQL and NoSQL databases, distributed web scale in-memory caches, in-memory databases, real-time big data analytics,

Starting today, Amazon EC2 M8azn instances are now available in US East (Ohio) Region. These general purpose high-frequency high-network instances are powered by fifth generation AMD EPYC (formerly code named Turin) processors and offer the highest maximum CPU frequency, 5GHz in the cloud. M8azn instances offer up to 2x compute performance compared to previous generation M5zn instances, and up to 24% higher performance than M8a instances. M8azn instances deliver up to 4.3x higher memory bandwidth and 10x larger L3 cache compared to M5zn instances allowing latency-sensitive and compute-intensive workloads to achieve results faster. These instances also offer up to 2x networking throughput and up to 3x EBS throughput versus M5zn instances. Built on the AWS Nitro System using sixth generation Nitro Cards, these instances are ideal for applications such as real-time financial analytics, high-performance computing,

You can now create provisioned Amazon Managed Streaming for Apache Kafka (Amazon MSK) clusters with Standard brokers running on AWS Graviton3-based M7g instances in Africa (Cape Town) region. Graviton M7g instances for Standard brokers deliver up to 24% compute cost savings and up to 29% higher write and read throughput over comparable MSK clusters running on M5 instances. To get started, create a new cluster with M7g brokers or upgrade your M5 cluster to M7g through the Amazon MSK console or the Amazon CLI and read our Amazon MSK Developer Guide for more information.

Starting today, AWS Network Firewall is available in the AWS European Sovereign Cloud. With this launch, European customers, particularly those in highly regulated industries, government agencies, and organizations with strict data sovereignty requirements, can deploy AWS Network Firewall to protect their most sensitive workloads while maintaining full compliance with European Union (EU) data protection regulations. Through this expansion, customers using the AWS European Sovereign Cloud can leverage the same AWS Network Firewall capabilities available in other AWS Regions, while ensuring that all data and operations remain entirely within EU borders and under EU-based control. AWS Network Firewall is a managed firewall service that provides essential network protections for your Amazon Virtual Private Clouds (VPCs). The service automatically scales with network traffic volume to provide high-availability protections without the need to set up or maintain the underlying inf

Starting today, Amazon EC2 Hpc8a instances are available in Asia Pacific (Tokyo) and AWS GovCloud (US-West) regions. These instances are powered by 5th Gen AMD EPYC processors (formerly code named Turin). With a maximum frequency of 4.5GHz, Hpc8a instances deliver up to 40% higher performance and up to 25% better price performance compared to Hpc7a instances, helping customers accelerate compute-intensive workloads while optimizing costs. Compared to Hpc7a instances, Hpc8a instances also provide up to 42% higher memory bandwidth, further improving performance for memory-intensive simulations and scientific computing workloads. Built on the latest sixth-generation AWS Nitro Cards, Hpc8a instances are designed for compute-intensive, latency-sensitive HPC workloads. They are ideal for tightly coupled applications such as computational fluid dynamics (CFD), weather forecasting, explicit finite element analysis (FEA), and multiphys

AWS Lambda Managed Instances now supports Rust, enabling developers to run high-performance Rust-based functions on Lambda-managed Amazon EC2 instances while maintaining Lambda’s operational simplicity. This combination makes it easier than ever to run performance-critical applications without the complexity of managing servers. Lambda Managed Instances gives Lambda developers access to specialized compute configurations, including the latest-generation processors and high-bandwidth networking. Lambda Managed Instances are fully managed EC2 instances, with built-in routing, load-balancing and auto-scaling, with no operational overhead. They combine Lambda’s serverless experience with EC2 pricing advantages including Compute Savings Plans and Reserved Instances. Rust support for Lambda Managed Instances combines these benefits with the performance and efficiency of Rust, including parallel request processing within each execution environment. Together, using Lambda Manag

Amazon OpenSearch Service now supports cross-account data access, enabling users to access OpenSearch domains hosted in different AWS accounts from within a single OpenSearch UI application. With this feature, you can query or build dashboard with data from OpenSearch domains across different accounts in the same region - without switching to a new endpoint or replicating data. Cross-account data access is available for OpenSearch domains hosted in both public and Virtual Private Cloud (VPC) configurations. With cross-account data access, teams no longer need to consolidate data into a single account or maintain costly data pipelines to enable unified analysis across organizational boundaries. This makes it easier to build centralized observability, search, and security analytics workflows that span multiple AWS accounts while keeping data in place and maintaining each account's access controls. Cross-account data access supports both IAM (including SAML via IAM federation)

The Landing Zone Accelerator on AWS (LZA) Model Context Protocol (MCP) Server is now open source, enabling organizations to manage LZA deployments through natural language conversations with AI assistants. Using the new LZA MCP Server, you can streamline configuration tasks that previously required time-intenstive manual work. The LZA MCP Server provides 20 specialized tools that help you search documentation across multiple LZA versions, manage configurations, monitor pipelines, and surface actionable insights when deployment failures occur. The server operates as a containerized MCP endpoint compatible with IDEs including Kiro, Amazon Q Developer, and Claude Code, using temporary credentials following AWS security best practices. The LZA MCP Server is open source and available now. Visit the AWS Labs GitHub r