Tag: Internet

Amazon CloudWatch Logs Insights query language now supports 13 new commands and functions that give you more powerful ways to query, transform, and analyze your logs. Customers analyzing logs in CloudWatch Logs Insights often need to perform string manipulation, encode or decode field values, parse non-JSON log formats, or calculate geographic distances, so they can derive deeper insights from their logs. With this launch, CloudWatch Logs Insights provides new string and numeric functions (round, startswith, endswith, case, regex_replace, haversine), encoding and decoding functions (urlencode, urldecode, base64encode, base64decode), and new parse and analysis commands (parse logfmt, expand, relevantfields). You can now filter logs by string prefixes, decode Base64 payloads inline, parse logfmt structured logs into fields, expand nested JSON arrays into individual records, calculate distances between coordinates, and automatically surface relevant fields in high-cardinality

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7i-flex, M7i-flex and M7i instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in Asia Pacific (Hyderabad) region. These custom processors, available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers. C7i-flex and M7i-flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose workloads. They deliver up to 19% better price-performance compared to C6i and M6i  instances respectively. These instances offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don't fully utilize all compute resources such as web and application servers, virtual-desktops, batch-processing, and microservices.    M7i deliver up to 15% better price-performance compared to M6i. M7i inst

Amazon SageMaker Unified Studio now supports automatic creation of connections for Glue job retries across subnets to improve data pipeline resilience. This helps organizations running business-critical data pipelines reduce unplanned downtime and meet their SLAs — without requiring engineers to manually configure backup connectors or intervene during subnet failures. With this launch, SageMaker Unified Studio automates the provisioning of Glue connectors across subnets defined in the domain VPC configuration. Administrators can define their domain VPC with multiple private subnets across availability zones, and the system provisions the connectors needed for all new projects so that failed jobs can be retried on an alternate subnet automatically. If a Glue job fails because the primary subnet is unavailable due to IP address exhaustion or availability zone degradation, the job can be retried on a connector in a different subnet. No user action is needed beyond the initial

Amazon SageMaker Inference now supports OpenAI-compatible APIs, so you can use the tools and frameworks you already know, like the OpenAI SDK, LangChain, and Strands Agents, to connect directly to your SageMaker endpoints. Switching requires nothing more than changing an endpoint URL — no custom integration code, no SDK wrappers, no rewrites. With this launch, you no longer need to adopt a different API format or change your authentication approach. Simply change your endpoint URL, and your existing SDK calls, streaming logic, and framework integrations continue to work as-is. You immediately gain the ability to choose your own GPU instances, keep data in your own VPC, run any open source or fine-tuned model, and scale with auto-scaling policies tuned to your workload. Authentication uses existing AWS credentials with automatic token refresh, so there is nothing extra to manage in production. This capability is available today in US East (N. Virginia), US West (O

Amazon Aurora MySQL-Compatible Edition now supports MySQL 8.4, a community MySQL Long Term Support (LTS) major version. Aurora MySQL 8.4 launches with compatibility for community MySQL 8.4.7 and introduces aligned version numbering, so the version number you run on Aurora matches the community MySQL version it is compatible with. Aurora also manages the underlying patch on your behalf, simplifying day-to-day operations. Aurora MySQL now targets major versions within 12 months of community MySQL LTS releases, minor versions within 3 months of each community minor, and an Aurora LTS minor within 12 months of each major. For engine specific release objectives, see the Aurora and RDS open source release calendar announcement. Aurora MySQL 8.4 strengthens security defaults for new clusters. TL

Amazon Relational Database Service (Amazon RDS) Custom for SQL Server now supports the latest General Distribution Release (GDR) updates for Microsoft SQL Server. This release includes support for SQL Server 2019 CU32+GDR KB5084816 (RDS version 15.00.4465.1.v1) and SQL Server 2022 CU24+GDR KB5083252 (RDS version 16.00.4250.1.v1). The GDR updates address vulnerabilities described in CVE-2026-32167 and CVE-2026-32176. For additional information on the improvements and fixes included in these updates, see Microsoft documentation for KB5084816, KB5083252. You can upgrade your Amazon RDS Custom for SQL Server instances to apply these recommended updates using Amazon RDS Management Console, or by

Amazon Bedrock customers can now attribute model inference usage to specific teams, applications, environments, and experiments at the individual request level on the InvokeModel and InvokeModelWithResponseStream APIs. This gives customers fine-grained visibility into how their Amazon Bedrock usage is distributed across their organization, helping them understand consumption patterns, optimize spend, and report usage back to internal stakeholders without provisioning additional resources. This launch builds on Amazon Bedrock's existing portfolio of usage attribution capabilities. Customers can already attribute model inference usage at the resource and identity level using application inference profiles, IAM principal-based attribution, project-level tracking on the OpenAI-compatible bedrock-mantle endpoint, and workspace-level tracking for Anthropic Claude models. For finer-grained, per-request attribution, the Converse and ConverseStream APIs have supported reques

Today, AWS Security Hub brings identity risk into the same unified console where central security teams already manage threats, exposures, and posture findings. Security Hub now detects unused IAM permissions, roles, and credentials across your AWS organization, helping central security teams identify and reduce identity risk at scale. Until now, managing identity risk across hundreds of accounts required toggling between multiple tools, with no unified view connecting unused permissions to actual resource exposure. Security Hub now surfaces these identity risks alongside threats, exposures, and posture findings in a unified console, enabling teams to prioritize remediation based on actual organizational risk. When you enable Security Hub for your organization, a service-linked IAM Access Analyzer is automatically created in each member account with no additional configuration required. Security Hub evaluates IAM principals against 90 days of actual access activity, detects

Amazon DocumentDB (with MongoDB compatibility) Serverless, an on-demand, auto-scaling configuration for DocumentDB, is now available on version 8.0. Amazon DocumentDB Serverless automatically scales capacity up or down in fine-grained increments based on your application's demand, offering up to 90% cost savings compared to provisioning for peak capacity. DocumentDB 8.0 improves query latency by up to 7x and compression ratio by up to 5x, while adding compatibility with MongoDB API versions 6.0, 7.0, and 8.0. It also introduces enhanced vector search with up to 30x faster index builds, new aggregation stages and operators, and support for collation and views. DocumentDB Serverless is available for both new and existing clusters on Amazon DocumentDB 8.0. You can use the in-place major version upgrade (MVU) to convert your Amazon DocumentDB 5.0 clusters to Amazon DocumentDB 8.0 clusters. Please see 

AWS Security Hub Extended plan now includes 21 curated partner solutions across 9 security categories, adding SentinelOne (endpoint), CyberArk (identity), Sublime (email), Varonis (data security), LayerX (browser), Native Security (cloud), and Zenity (AI security). With these additions, you have more flexibility to select the solutions that best fit your enterprise security requirements. All solutions have published pay-as-you-go pricing, a single AWS bill, automatic Enterprise Discount Program (EDP) eligibility, unified Level 1 support for AWS Enterprise Support customers, and no long-term commitments. Security Hub Extended is a plan of Security Hub that helps simplify how you procure, deploy, and integrate a full-stack enterprise security solution across endpoint, identity, email, network, data, browser, cloud, AI, and security operations. With today's expansion, you now have more choice within each category, selecting between established leaders and fast-growing inno