News For Dev-ops

Amazon Connect Customer dashboards now support drilling down into real-time queue and routing profile performance. With a single click, supervisors can drill from a summary view into pre-filtered routing profile, queue, agent, or routing step widgets. For example, a supervisor who sees a spike in queue wait times can immediately drill down to agent activity for a specific queue and reassign agents to reduce the backlog. One-click drill-down on real-time metrics dashboards is available in all AWS commercial and AWS GovCloud (US-West) regions where Amazon Connect Customer is offered. To learn more about Amazon Connect Customer analytics dashboards, see the Amazon Connect Customer Administrator Guide . To learn more about Amazon Connect Customer, the AWS cloud-based contact center, please visit the Amazon Connect Customer website . Post Updated on August 6, 2026 at 06:00PM

AWS Marketplace now supports configurable net payment terms on private offers, with options including Net 30, Net 45, Net 60, or Net 90. Prior to this launch, net payment terms were uniform across all AWS Marketplace purchases, based on the buyer's payment terms with AWS. This new feature allows sellers to configure when payment is due, so invoice due dates match what buyers and sellers negotiate. This gives buyers upfront clarity on payment due dates, allows them to take advantage of more favorable payment terms, and gives sellers better cash flow predictability by setting net payment terms during private offer creation. Buyers see the configured payment terms on the procurement page before accepting a private offer. The net payment terms apply uniformly to all AWS Marketplace charges within a private offer, including upfront fees, scheduled payments, and usage-based charges. For Channel Partner Private Offers (CPPO), ISVs set maximum payment terms and channel partners can offer...

AWS Backup for Amazon S3 now supports creating S3 Access Points, providing immediate read-only access to backup data using standard S3 APIs without initiating a restore. This enables targeted file recovery, data validation, compliance auditing, and forensic investigation while your backup data remains protected in your backup vault. You can create an access point for an S3 recovery point and read backup data using standard S3 operations such as GetObject, HeadObject, and ListObjectsV2. Access points work with both snapshot and continuous (point-in-time) recovery points stored in standard backup vaults or logically air-gapped vaults, including recovery points shared across accounts through AWS Resource Access Manager or Multi-party approval. While an access point is active, the associated recovery point is protected from deletion. Get started with this capability by creating access points for your S3 recovery points using the AWS Backup console, API, or CLI. This capability is avail...

AWS Glue Data Catalog is a centralized metadata repository that helps you discover and understand data, with semantic search and support for adding business context to datasets currently in preview. Today, we are adding two new capabilities to this preview: exporting catalog metadata exports to S3 Tables for metadata querying, and expanding the semantic search preview to catalogs encrypted with AWS Key Management Service (AWS KMS) customer managed keys. When you enable the Glue metadata export, your catalog's technical and business metadata, including glossary terms, custom metadata attachments, and asset descriptions, are written to tables in the managed aws-catalog S3 table bucket. Metadata is stored in Apache Iceberg format, enabling you to query, audit, and perform time travel queries for historical analysis using standard SQL in query engines that support Iceberg, such as AWS analytics services like Amazon Athena and Amazon QuickSight as well as third-party tools. This lets ...

AWS Glue Data Quality now offers improved anomaly detection with a new observation mode that reduces detection of false anomalies and removes pricing for anomaly detection in ETL jobs. Customers using notebook-based or exploratory workflows now benefit from smarter anomaly detection that gracefully handles irregular data arrival intervals. This new capability avoids over-extrapolating trends by using a constant baseline instead of a linear trend, delivering more accurate alerts and reducing noise so teams can focus on genuine anomalies. The new anomaly detection observation mode is particularly useful for exploratory data analysis, datasets with flat or random patterns, workloads without predictable trends and cases where you run data quality checks on varying schedules or in interactive environments like notebooks. Additionally, anomaly detection for AWS Glue ETL jobs is now available at no additional cost, so you can monitor data quality anomalies across all your Glue pipelines...

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports publishing SQL Server Audit logs to CloudWatch. SQL Server Audit is a native SQL Server feature that allows tracking and logging events that occur on the Database Engine. On Amazon RDS, you can create audits and audit specifications in the same way that you create them for on-premises SQL Server database servers. Now you can publish the audit logs to S3, CloudWatch, or both. If you enable both S3 and CloudWatch options, the audit log publication will be marked as "completed" only after the audit log files are uploaded to both S3 and CloudWatch. Once the audit logs are in CloudWatch, you can perform real-time analysis of the log data. If you enable retention, RDS keeps your audit logs on your DB instance for the configured period of time. For more information, see SQL Server Audit (database engine) in the SQL Server documentation. For detailed configuration instructions, see the Amazon RDS for SQ...

AWS Organizations customers can now view their maximum number of accounts quota and its utilization directly through AWS Service Quotas instead of relying on AWS Support or AWS account teams to determine their current account limit. Customers can now proactively plan account growth with ease by monitoring their current account quota utilization and requesting increases before reaching their limit. They can view this quota by logging into management account and accessing the Service Quotas console or calling the Service Quotas GetServiceQuota API. This quota visibility is available now available in US East (N. Virginia). To learn more, see viewing service quotas in the AWS Service Quotas documentation. For more information about AWS Organizations quotas and service limits, see the AWS Organizations documentation . Post Updated on August 3, 2026 at 07:54PM

AWS Lambda now supports a maximum of 10,000 event pollers for Provisioned Mode for Amazon SQS event source mappings (ESMs), a 5x increase from the previous limit of 2,000. This enables you to reach up to 100,000 concurrent invocations, so you can build highly responsive and scalable event-driven applications with stringent performance requirements. Customers use Amazon SQS as an event source for Lambda to build mission-critical applications such as real-time order processing, financial transaction pipelines, IoT telemetry ingestion, and large-scale fan-out workloads, where delays in event processing can directly impact business outcomes. Provisioned Mode for SQS ESM allows you to configure a minimum and maximum number of event pollers and optimize the throughput for your application. However, the maximum number of pollers was previously limited to 2,000, which constrained the number of concurrent invocations that could be reached per ESM, and required customers to split their ...

Amazon GameLift Streams now offers stream URLs, which give end users temporary, unauthenticated access to a playable stream session in a supported web browser. Recipients need no AWS account, no credentials, and no software install. To share a playable stream, create a stream URL for a stream group and one of its applications, set how long the stream URL stays valid and how many sessions it can start, and send the link. Each person who opens the link starts an independent stream session, and Amazon GameLift Streams routes them to a nearby streaming location from the locations you selected. No client integration or backend service is required. You can create, monitor, and revoke stream URLs in the Amazon GameLift Streams console or with the new CreateStreamUrl, GetStreamUrl, ListStreamUrls, and RevokeStreamUrl APIs. There is no additional charge for stream URLs. You are charged for the stream capacity that sessions started from a stream URL consume, as described on the Amazon GameLi...

Amazon Web Services (AWS) announces the availability of high performance Storage Optimized Amazon EC2 I7i instances in the Asia Pacific (Thailand) and Israel (Tel Aviv) Regions. Powered by 5th Gen Intel Xeon Processors with an all-core turbo frequency of 3.2 GHz, these new instances deliver up to 23% better compute performance and more than 10% better price performance over previous generation I4i instances. Powered by 3rd generation AWS Nitro SSDs, I7i instances offer up to 45TB of NVMe storage with up to 50% better real-time storage performance, up to 50% lower storage I/O latency, and up to 60% lower storage I/O latency variability compared to I4i instances. I7i instances offer compute and storage performance for x86-based storage optimized instances in Amazon EC2 ideal for I/O intensive and latency-sensitive workloads that demand very high random IOPS performance with real-time latency to access the small to medium size datasets. Additionally, torn write prevention feature suppor...

AWS WAF now supports two new partner managed rule groups from Miggo Security, available through AWS Marketplace: Miggo Rules for AWS WAF – High Emerging Application Threats , and Miggo Rules for AWS WAF – AI/ML Application Protection . These rule groups give AWS WAF customers continuously updated protection against vulnerabilities that are being actively exploited, have public proof-of-concept code, or appear in the CISA Known Exploited Vulnerabilities (KEV) catalog, without writing or maintaining custom rules. The High Emerging Application Threats rule group focuses on vulnerabilities under active exploitation, and the AI/ML Application Protection rule group focuses on generative-AI application stacks such as AI agent frameworks, LLM gateways, and model-serving infrastructure. You can subscribe to either rule group and add it to a web ACL directly in the AWS WAF console through AWS Marketplace, with no additional configuration. Both rule groups support versioning, and pricing is set...

Amazon Elastic Container Registry (Amazon ECR) has increased the maximum image layer size limit to 200 GB, for images pushed via Docker push. Previously, packaging assets required splitting data across multiple layers or offloading to external storage systems. With this update, customers can store up to 200 GB in a single image layer, eliminating extra complexity for use cases like embedding large language models, bundling genomics datasets, or packaging large binary dependencies directly into your container images. Images pushed using the AWS SDK or CLI; (UploadLayerPartAPI) remain limited to 50 GB. This feature is available in all AWS Regions and partitions where Amazon ECR is available except the Middle East (Bahrain) and Middle East (UAE) Regions. To learn more, visit the Amazon ECR product page and refer to the Amazon ECR User Guide . For pricing information, see the Amazon ECR pricing page . Post Updated on August 3, 2026 at 04:00PM

Today, AWS announces Context Ontology Accelerator, an open source accelerator that helps organizations build an ontology of their business — a machine-readable model of their products, customers, policies, and the rules that define how they operate so AI agents make accurate, consistent, explainable, and auditable decisions. Context Ontology Accelerator connects to your structured and/or unstructured data sources, and uses AI to draft an ontology; your domain experts review, edit, and approve every element of it. The approved ontology is stored in a knowledge graph you own, expressed in open W3C standards so it works with any standards-based tooling, and any agent can consume it through the included Model Context Protocol (MCP) server. Organizations building AI agents need more trust in their agents' decisions, with outputs they can explain and audit. The context those agents require — entities, rules, policies, relationships — is scattered across dozens of systems with conflicti...

Amazon Location Service now supports proximity-based point of interest discovery with GrabMaps data in the Asia Pacific (Singapore) and Asia Pacific (Malaysia) AWS Regions. Builders creating local discovery, delivery, and mobility applications in Southeast Asia can surface relevant nearby places using hyperlocal data validated by millions of daily Grab journeys. SearchNearby returns places within a specified radius of a user's location, ranked by distance. Developers can filter results by category (such as fuel stations, hospitals, or restaurants) to narrow responses to what their application needs. This enables a delivery platform to find the closest pickup points, a ride-hailing app to show nearby dining options, or a travel app to locate services within range. GrabMaps delivers hyperlocal mapping data purpose-built for Southeast Asia. Millions of daily journeys across the Grab platform continuously validate road networks, addresses, and points of interest, capturing changes ...

Amazon SageMaker Unified Studio gives project members full Git version control directly within the tools you already use - Query Editor, Visual ETL, Workflows, and Notebooks. The enhanced Repositories experience replaces the previous automatic sync approach with flexible, file-level version control. This brings a consistent source control experience across all project tools, including Notebooks, which previously had no Git support. You choose exactly which files to track in Git by adding them to a repository on GitHub, GitLab, or Bitbucket - source control is not enforced at the project level, so you decide what gets versioned and when. When you're ready, you commit and push all your changes in a single action. Repositories are decoupled from project creation, meaning you can add a repository to a project at any point after the project is created, as your needs evolve. Projects can connect to any number of repositories and branches at the same time, and you can create branches, ...

Duplicate patient records are one of the costliest problems in healthcare data management, scattering a patient's information, leading to redundant tests, missed diagnoses, billing errors, manual reconciliation, and broken analytics that count one patient as many. AWS HealthLake now supports resource matching, which automatically identifies and links duplicate records in a datastore. Healthcare organizations can build accurate longitudinal patient records and trustworthy population health datasets without specialized master data management tooling. Resource matching works across seven Fast Healthcare Interoperability Resources (FHIR) resource types: Patient, Practitioner, Organization, Location, Device, RelatedPerson, and PractitionerRole. It matches high-confidence healthcare identifiers such as Social Security, medical record, and national provider numbers, applying each identifier's real-world scope and filtering out placeholder values to avoid false matches. Once enab...

Today, AWS announces the general availability of node lifecycle actions in AWS Parallel Computing Service (PCS). With node lifecycle actions, you can run custom scripts automatically at defined points in a compute node's lifecycle. You can use them to prepare your nodes for work. For example, you can mount shared storage, join a directory service, install software, or set up monitoring. You define node lifecycle actions in your PCS compute node group configuration when you create or update the group, and you can reuse the same script across multiple compute node groups and clusters. For each script, you set its location as an Amazon S3 or HTTPS URI, the arguments to pass, which lifecycle stage it runs in, whether it re-runs on reboot, and its error-handling behavior. AWS PCS writes the output to a dedicated log file, giving you visibility into what ran. AWS PCS is a managed service that simplifies running and scaling high performance computing (HPC) workloads on AWS using Slurm...

Amazon Connect Customer now automatically surfaces relevant examples of an agent's evaluations when managers are preparing coaching feedback, so they can deliver actionable, evidence-backed coaching to agents. When a manager prepares agent coaching feedback in Amazon Connect Customer, they automatically receive examples of recent evaluations where the agent scored high or low on the chosen coaching topic, along with human or AI evaluator notes explaining the agent behaviors that drove the result. For example, while preparing feedback for an agent on "de-escalation," a manager receives example calls where the agent successfully calmed a frustrated customer, alongside calls that were escalated, with insights into the agent behaviors that led to each outcome. This enables managers to deliver tailored coaching that accelerates agent performance improvement, while saving the time spent manually searching for examples. This feature is available in all regions where Amazon Con...

AWS Glue Data Quality now supports a new Distribution Analyzer that generates frequency distribution profiles for your data. Using this new Distribution Analyzer in the Data Quality Definition Language (DQDL), you can generate histograms for numeric columns and value distributions for categorical, date, and boolean columns. With support for custom bin counts, you can explore the shape and patterns of your data at the granularity that matters most to your use case. Understanding how data is distributed is foundational to building reliable data pipelines. Distribution statistics help you quickly identify skewness, outliers, and unexpected patterns across your datasets, without writing custom code. The capability integrates directly with your existing DQDL rulesets, so you can add distribution profiling alongside your current data quality checks in a single evaluation run. Distribution statistics are stored in Amazon S3 for future querying through services like Amazon Athena, and are al...

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports restoring Transparent Data Encryption (TDE)-enabled SQL Server databases on Multi-AZ instances and instances configured with a read replica in the same region, using native backup and restore. Previously, TDE-enabled database restore was available only for Single-AZ instances, requiring you to disable TDE or migrate to a Single-AZ configuration before restoring encrypted databases. You can restore TDE-enabled database backups directly to Amazon RDS for SQL Server Multi-AZ instances and instances configured with a read replica in the same region. Back up your existing TDE certificate, store it in Amazon S3, and restore it to your Amazon RDS instance with the TDE option enabled. Then, restore your TDE-enabled database backup from Amazon S3 using Amazon RDS native backup and restore. This simplifies your migration and recovery workflows when you require both encryption at rest with TDE and the high availabi...